The mission We’re building a best-in-class multi-modal AI agent product (voice + SMS + email) with the potential to disrupt deeply entrenched software businesses and unify a fragmented industry. We’re a tiny team with real traction pre-product, moving fast, and we care obsessively about craft.
Why this role This is a founding engineering seat: you’ll be an early builder shaping the product, architecture, and quality bar from day one. In the first 3–6 months, the role is highly IC-focused. As we scale (including our first in-person hub/site and new hires), this role has optionality (i.e., growing into a leadership role or staying on the IC track and owning the engineering roadmap) for the right person.
What you’ll do
Build real-time systems for voice (streaming audio, low latency, turn-taking), SMS, and email automation with robust state + memory. Design the foundation: architecture, data model, reliability, observability, deployment, and developer velocity. Set the quality bar: clean code, pragmatic abstractions, testing strategy, “don’t break prod,” and thoughtful product UX. Partner closely with the co-founders on product decisions. You’ll have real influence over what we build and how it feels + how it's designed.
What we’re looking for You should be able to work anywhere in the stack (frontend, backend, infra, integrations) and you know how to make smart tradeoffs.
Strong product sense: you’re obsessive about confusing UI and you want to make workflows feel magical. Systems thinking: you can design for latency, reliability, and iteration speed (especially for real-time voice + agent state). High ownership: you run toward ambiguity, unblock yourself, and care deeply about outcomes. Startup mindset: high-risk/high-reward energy, low ego, high pace.
Bonus points:
Experience with agentic systems: LLM orchestration, tool calling, RAG, evals, prompt/versioning, guardrails. Voice/telephony or streaming experience (WebSockets/WebRTC, audio pipelines, turn detection). Messaging + deliverability experience (SMS workflows, email sending, compliance/opt-in, bounce handling). Familiarity with modern stacks (examples): TypeScript/Node, Python, React/Next.js, Postgres, Redis, queues, Docker, AWS/GCP, observability.
We are currently seeking a talented and driven Java Developer to join our team full-time. This is an exciting opportunity to contribute your skills and expertise to a venture backed funded fintech trading firm with emphasis in US equities capital markets tech based out of the New York City and in exchange we’ll provide you with base comp $125k-200k, full benefits, cash bonus, and equity.
Requirements:
- Electronic trading server-side software development experience
- Experience in Open Source technologies such as Aeron Transport, Aeron Cluster, Aeron Archive, Artio, Agrona, or CoinTossX is a big plus
- Experience with Adaptive Hydra trading platform is a plus
- Experience with US equities trading venues is a plus
Benefits:
- Flexible hybrid schedule to accommodate other commitments
- Collaborative and supportive team environment
- Relocation assistance to NYC Metro area
If you are passionate about Java development and interested in joining a fintech venture, we would love to hear from you. Please submit your resume if interested to agency@furtimmodus.com in this opportunity.
Forage is a payments company building the infrastructure for SNAP EBT online. About 1 in 8 Americans (over 40 million people) use SNAP to buy groceries, and we process the EBT payments that let them shop on Uber Eats, DoorDash, and at major grocery chains. We're now building our first consumer product: a mobile app that surfaces cash rewards at partner merchants so EBT shoppers can stretch their benefits further and put more food on the table.
We're hiring a Senior Mobile Engineer to own the frontend of this app. You'll oversee significant parts of the codebase, work closely with a small product and design team, and ship features that put real dollars back in low-income families' pockets.
A good fit:
- You have 3+ years of mobile engineering experience building end to end user solutions
- You have deep React Native experience, ideally having built an app from scratch or meaningfully contributed to a production app
- A track record of leading technical initiatives, mentoring engineers, and driving complex projects from design through execution
YC-backed (W21), well funded, competitive comp and equity.
Apply: https://jobs.gem.com/-joinforage/am9icG9zdDoQzZQuSvDKMNwsFFJ...
Please mention HN in your application.
Campus is a Series B Edtech startup with a mission to maximize access to a world class education backed by investors such as General Catalyst, Founders Fund, Bloomberg Beta and 8VC.
We’re hiring technical talent across levels and functions to build tech that modernizes education - please apply to any that you may be a fit for!
Senior Staff AI Research Engineer: https://bit.ly/49A6IGs
Staff Data Scientist: https://bit.ly/48OOMYz
Staff Fullstack Software Engineer: https://bit.ly/4eUt4Gv
Senior Product Manager: https://bit.ly/4wyDd1U
We're looking for a visual journalist and graphics developer to report, write, design and code data-driven stories and visualizations. We're looking for someone who can produce inventive explanatory, analytical and interactive journalism in a variety of forms, from conception through publication; and who is also enthusiastic about contributing your skills to colleagues' projects.
https://job-boards.greenhouse.io/thenewyorktimes/jobs/466994...
We recently raised a $54M Series B led by Accel with participation from Kleiner Perkins, Felicis, Altos Ventures, and YC.
Permitting is a challenging yet interesting problem; thousands of municipalities across the United States have their own processes and requirements - many which are continually updating. Software, AI, and LLMs provide an exciting opportunity for us to reason at scale and distill a nuanced and localized permitting process into a standard and streamlined experience for our customers.
We're looking for customer-obsessed, ambitious, and hard-working teammates who are excited about solving a real-world problem with technology at its helm.
NYC Onsite Roles | apply at: https://jobs.ashbyhq.com/permitflow?departmentId=d33195eb-89...
1. Staff Software Engineer - $200K-275K + equity
2. Fullstack Software Engineer - $125-245K + equity
3. Senior Frontend Engineer - $125K-245K + equity
Dablam is a reputation management company that works with top companies to shape their communication, product stories and their impact in the real world. We work with product companies, brands and campaigns for product launches.
We're looking to hire an senior developer specialized in BDR and top of the funnel outreach automation through etl pipelines, openclaw, AI agents, clay and pure software engineering. ML and data science are required as we seek to detect signal in very noisy datasets. We generate our own leads today. We seek to employ an engineer that can own the pipeline stability and the results it produces. This is an engineering role. Experience in lead-gen matters but it's not mandatory.
* 2-4 years experience in software development; * Typescript, javascript, python, bash, linux; * familiarity with AI agents, ML and scikit-learn;
Reach out to me directly with your CV and victor that works at dablam.co.uk.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
We’re a small, high-impact team solving one of the most interesting and adversarial problems in fintech: how do you build systems that reliably determine whether a real human is on the other side of a financial transaction?
We’re hiring across Engineering (Full-stack and Infra) and Data Science / ML roles. Hiring at Manager level as well as mid-level/Senior levels.
We’re language-agnostic and hire for fundamentals. Across the team you’ll see: • Python, Go, Rust, Scala • PostgreSQL, Snowflake • Kafka, Redis • Terraform, Kubernetes • ML: XGBoost, PyTorch, Feature stores, real-time scoring pipelines
If you love solving complex distributed systems challenges, building customer-facing ML products, or working on detection systems that must be both high-precision and low-latency, you’ll fit right in.
Roles are here: https://jobs.ashbyhq.com/sentilink?utm_source=hacker_news
If you have questions, feel free to reach out directly at liz.woodfield at sentilink dot com.
Clad is software for building physical infrastructure. We help contractors automate their back office so they can scale their business.
We're a 7 person team in person in NYC, raised $2.7M, have >4 years of runway, and are growing faster than we ever have in the history of the company.
You'll build a well-crafted product, and work on challenging problems at intersection of AI, construction (mapping), and fintech.
Apply here: https://www.ycombinator.com/companies/clad/jobs/YHGyRSf-full...
Or email me at jason [at] withclad [dot] com
Students with disabilities are not receiving the support they deserve, and Waypoint is changing that. We're building AI tools that special education teachers use to better support students with Individualized Education Programs (IEPs).
Hiring a founding engineer and running a one-week challenge to start creating together. Best submission gets $500 and top 5 get an immediate final round interview.
Deadline: Monday, May 11 @ 12pm ET.
Challenge details: https://github.com/igoldstein19/waypoint-challenge/
Stack: TypeScript/Python, MCP, Claude
Prefer to apply through the standard process or want to learn more? Email resume and 1 paragraph about interest to isaac@waypoint-learning.org
Search is being rewritten — buyers ask ChatGPT, Claude, and Perplexity, and the brands cited in those answers win. AirOps is the runtime marketing teams at Ramp, Chime, Carta, and Rippling use to earn those citations: orchestrated LLMs, RAG, JS/Python code steps, evals, human-in-the-loop.
Backed by Greylock, Unusual, Wing, Founder Collective.
jobs.ashbyhq.com/airops
We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.
Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring in NYC across all teams, including:
- Full Stack Engineer, Senior + Staff ($190k-280k)
- Engineering Manager ($235k-280k)
- Applied AI Engineer ($220k-285k)
- Forward Deployed Engineer ($145k-250k)
We're also hiring for many non-technical roles. These roles are hybrid/in-person in NYC. The best way to apply is online on our website (we review every application!). Full list here: https://jobs.ashbyhq.com/norm-ai?utm_source=7ow8wN5o3g.
Nylas provides APIs for email, calendar, and contacts, connecting to Gmail, Microsoft, IMAP, Zoom, Teams, and 250+ providers. Tens of thousands of developers use us to reach millions of their users.
We're hiring across product, marketing, finance, and sales. Several of these roles benefit from someone who's a builder at heart. You don't need to be writing code, but you're using your favourite coding agent to experiment and solve problems day to day. High autonomy, close to customers, creative thinking rewarded.
100% remote in North America with regular in-person offsites.
Product Manager | Remote US or Canada (pref: Toronto, Denver) | $120K to $160K USD / CA$120K to CA$160K. https://www.nylas.com/company/jobs/?ashby_jid=f4fdb62a-8a7e-...
Product Marketing Manager | Remote US or Canada (pref: Toronto, Denver, NYC, Bay Area). US: https://www.nylas.com/company/jobs/?ashby_jid=ebcf30ab-c9d1-... Canada: https://www.nylas.com/company/jobs/?ashby_jid=2acb49b8-4e50-...
FP&A Analyst | Hybrid Toronto (~3 days/week) | CA$75K to CA$100K. https://www.nylas.com/company/jobs/?ashby_jid=57ea11b2-8da0-...
BDR | Remote US (NY or Denver) | $65K to $100K USD OTE. https://www.nylas.com/company/jobs/?ashby_jid=bb13733d-da47-...
BDR | Remote Toronto | CA$70K to CA$90K OTE. https://www.nylas.com/company/jobs/?ashby_jid=18bed42c-08cc-...
By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production.
Apply Here: https://jobs.ashbyhq.com/baseten?utm_source=gkzEP29VD4 or email Jason.dupree@baseten.co
We are hiring for multiple core roles:
1. Solution Architect: You will partner closely with sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnerships with Sales and Engineering
2. AI Solutions Engineer/Forward Deployed Engineer: You will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment. To be clear, this is a technical engineering role with hands-on coding and software dev that also includes aspects of product management, technical customer success and pre-sales solutions engineering mixed in. We’re language agnostic but strong Python and ML experience is a big plus.
The Offer:
Compensation: Very competitive, we’re looking for folks with a breadth of experience
Equity: This is an opportunity to participate in the ownership of a fast-growing AI Infrastructure platform
Location: We are based out of San Francisco with offices in New York. We are also open to remote employees for these roles.
Process: If you’re interested, please apply here https://jobs.ashbyhq.com/baseten?utm_source=gkzEP29VD4 or email me direct at Jason.dupree@baseten.co
We’re looking for software engineers to design and optimize high-performance trading systems that power our periodic auction matching infrastructure.
We build production systems in Rust and are looking for engineers with meaningful Rust, C++ or Java experience, particularly out of backend or systems-oriented environments.
This is a systems programming role focused on low-latency, high-throughput distributed computing. You’ll work across order and data workflows, auction execution, reliability, and performance optimization to ensure the platform is efficient, fault-tolerant, and capable of complex trade matching at scale.
We’re especially interested in engineers who:
Have built backend or systems-level software Are passionate about performance, concurrency, and correctness Are motivated by real-time, performance-sensitive systems Have experience with compilers, static analysis, or language tooling (a strong plus)
ESTIMATED COMPENSATION: Salary range: $150,000-$220,000 with eligibility for a discretionary annual bonus.
CONTACT: careers@onechronos.com - and please send your resume and include “Systems Engineer | HN” in the subject line.
Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to design and build step-function improvements over existing blockchain solutions. After raising $225M in series A funding, led by Paradigm, we are growing our team.
Senior SWE, Compiler: https://jobs.ashbyhq.com/category-labs/e5c34899-cea1-4d25-be...
Smart Contract Engineer (Solidity): https://jobs.ashbyhq.com/category-labs/776ce314-aa12-471b-92...
User interfaces are dead. Knowledge workers will exclusively work through agent interfaces like Claude Code/Cowork. We've built the interface layer to enable that.
One API that unifies hundreds of data providers, workflows, and data infrastructure to agents like Claude Code. We shipped our mvp last month; hundreds of early adopters signed up and are using Deepline.
You'd build core platform: agent-facing abstractions, infrastructure, UI. TypeScript/Python/Next.js/Postgres. $3.3M raised from Lerer Hippeau + Looker founding team. Technical founding team from Uber, Lyft, Capchase, MIT, Waterloo.
We’re on a mission to radically transform the way we design and construct our built environment.
Backed by Lightspeed Venture Partners, Eagle acquires civil, structural, and MEP engineering firms and transforms them with applied AI. Our thesis: 85% of what engineers do is automatable, yet less than 5% has been touched by AI; the largest gap of any profession. By arming designers with frontier technology, our ambition is to build the most valuable, talent-dense engineering firm in the United States.
We're looking for our first members of technical staff. If you get excited about building from zero, get energized by direct access to users, and want to work in a problem domain that's barely been touched by AI, we'd love to talk.
Apply here: https://jobs.ashbyhq.com/eagle/ef7cb145-536a-4ace-b6de-c8928...
We're building the trust layer for AI in high-stakes industries. https://kepler.ai
LLMs hallucinate, so they can't be the thing producing your numbers. In Kepler, the LLM orchestrates (decides what data to gather, what to compute, how to structure the output), but the model never touches the data itself. Every actual value flows through deterministic code pipelines with provenance metadata back to source. Verification loops cross-check outputs before users see them.
We started in finance because tolerance for wrong answers is zero. First product is a research platform for buy-side analysts: pull comparables, build models, research filings. Same architecture extends to chemicals, legal, healthcare. Models are commoditizing fast; the trust layer is what's missing.
If you want the deeper architecture writeup, Anthropic just published a case study on Kepler: https://claude.com/blog/how-kepler-built-verifiable-ai-for-f...
What you'd build:
- Source-explorer UI that traces any value back to its exact origin in the original document - Extraction pipeline for a data source we don't yet handle, with provenance and verification from day one - Agent orchestrator that handles partial failures so a bad extraction from one source doesn't block parallel work - Verification rules that cross-check values across multiple sources and surface conflicts with provenance on both sides
Stack: Rust backend (orchestration, extraction, computation), TypeScript/React frontend, PostgreSQL, AWS. Model-agnostic, currently Claude + GPT. We don't require Rust experience; we hire on fundamentals.
Looking for 5 years production experience, strong in TypeScript/React, comfortable in backend work. Bonus if you've built systems where correctness mattered (payments, data infra, healthcare, anything where a wrong output has consequences). Distributed systems basics: concurrency, fault tolerance, retries, idempotency.
Founding team is 40+ combined years at Palantir building Foundry's core systems (Ontology, Fusion, Workshop, FoundryML). CEO scaled a data company to $15M ARR, sold it, then ran Business Engineering at Citadel. Backed by founders of OpenAI, Meta AI Research, MotherDuck, dbt Labs.
In-office NYC.
Apply: https://jobs.ashbyhq.com/kepler-ai/52624a4e-33e3-4f16-8028-0..., or email me: eddie.hammond@kepler.ai
Rinse provides dry cleaning and laundry delivery services to customers in twelve metropolitan areas in the US and Canada. We have sophisticated logistics optimization software, a polished consumer product, and firm business fundamentals. We're now over a decade old - this is a stable, yet consistently growing and innovating, company.
Our engineering team is distributed across the United States and internationally, and has been entirely remote for years now, but a desk can be provided in the above cities if you'd prefer.
As our QA Engineer, you'll assist in improving the quality of Rinse's software, which services our customers, valets, vendors, and warehouse personnel. You'll be involved in the full project lifecycle, from idea through documentation and feedback. You'll also drive software quality through testing, collaboration, and documentation.
We're a tiny team tackling big problems, so our technical staff enjoys considerable autonomy, flexible schedules, and ambitious projects with clear and meaningful impact on our business.
This season, we're particularly interested in new grads or junior engineers, to round out the team. You will join a high-caliber team where collaboration, honesty, and open communication are at the core of everything we do.
Search term bingo: Logistics, Django, Python, Optimization, React, React Native, Postgres, Mobile Engineer, Automation, Delivery, OR-tools, Forecasting, Mobile QA, Mobile Testing, Test Automation, Test Engineer
- Radar is the geo-location dev tool
- Doing 1B+ API calls per day
- Our main languages are Rust and TypeScript, we also use mobile and offline pipeline languages (Python, Scala, and Terraform).
- We're based in NYC with our HQ in Union Square and remote friendly (US)
Interesting things we're working on:
- HorizonDB, our Geospatial database written in Rust
- Precise indoor location more accurate than iOS and Android leveraging Ultra-Wideband, other mobile sensors and ML.
- Anomaly detection to identify spoofed locations
- Mobile infrastructure that automatically configures itself optimizing battery-life and location accuracy for different use-cases over time
- Multi-Region AWS K8s deployment, 99.99%+ availability
- Frontend tools to visualize and debug location data at scale
Check out our jobs page here: https://radar.com/jobs#jobs If you have any questions, feel free to reply here or you can e-mail me at tim@radar.com
Octozi is a revenue-generating seed-stage company building AI agents for clinical development workflows. Bringing a drug to market can take a decade and cost up to $2B, keeping treatments expensive and delaying life-saving therapies for the patients who need them. We're cutting the cost and time of these workflows while improving the science and analysis of clinical data.
We already have commercial contracts with multiple pharma companies and are scaling the team to meet demand. The interesting problems span agent orchestration over messy clinical datasets, human-in-the-loop review at scale, and turning unstructured medical reasoning into auditable, regulator-ready output.
Looking for a full-stack engineer to join as a founding hire with startup experience strongly preferred. Stack: Python, TypeScript, AWS, PyTorch.
Reach out to careers [at] octozi.com and mention HN.
Full description: https://wellfound.com/recruit/jobs/4163102
Help us use technology to make a big green dent in the universe!
Kraken powers some of the most innovative global developments in energy.
We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.
You’ll work in the AI Foundations team which exists to enable AI across the entire company. We build the shared platforms, tooling and patterns that enable engineering & product teams to safely, reliably and efficiently use machine learning and generative AI across the business. This is not a research lab. This is a delivery-focused team that sits at the intersection of platform engineering, applied ML and developer enablement.
Apply through the link below, or send me an email to omer.korner at our domain name.
https://jobs.lever.co/kraken123/d57f5f0e-97e5-4d64-a78c-ff12...
Tables power every financial model, clinical trial, and scientific experiment, but deep learning has mostly ignored them. No natural sequence, no spatial structure, no shared vocabulary across datasets. LLM architectures don't transfer. We built TabPFN, the first foundation model that actually understands tabular data (published in Nature, 3M+ downloads, new SOTA for tabular ML). The hardest problems are still open.
The model is half the product. The other half - training infrastructure, real-time serving, developer platform, reliability - is what turns a research breakthrough into something enterprises trust in production. We're hiring across both.
ML Engineer, Cloud Platform — Design and scale the core infrastructure for serving and finetuning foundation models in production. Early enough that you're making the architecture decisions, not inheriting them.
ML Engineer, Training Infrastructure — Own GPU infrastructure, distributed training performance, and the developer productivity layer (CI, experiment tracking, model registry) that keeps research moving fast.
Full Stack Engineer, ML Platform — Build the product that puts tabular foundation models in users' hands, from data upload through inference and results. You'll work across frontend, backend, and directly with the research team to turn new model capabilities into production features.
Research Engineer, Foundation Model — Design experiments, run ablations, build training infrastructure, contribute to papers. Research engineers here aren't supporting scientists — they are the science team.
Also hiring: Research Scientist, Applied Scientist, Forward Deployed ML Engineer, Developer Relations Engineer, AE, BDR.
20-person team selected from thousands applicants. Backgrounds from Jane Street, Google, CERN, G-Research. Led by Frank Hutter, advised by Yann LeCun and Bernhard Schölkopf. €9M pre-seed from Balderton, with backing from leaders at Hugging Face, DeepMind, and Black Forest Labs. Comp competitive with top AI labs, meaningful equity.
All roles: https://jobs.priorlabs.ai
Prior Labs | Full Stack Engineer, ML Platform Hiring: Berlin | Salary: Competitive with top AI labs + meaningful equity | Relocation support | Full Time
Building the product that puts tabular foundation models into users' hands. React, FastAPI, Postgres. You'll work across frontend, backend, and directly with researchers shipping new model capabilities to production. 3+ years full stack, strong TypeScript and Python, experience with data-intensive applications. https://jobs.priorlabs.ai
Hammock is building the first HSA/FSA that actually works for modern life — letting people spend pre-tax dollars on everyday wellness like the gym, recovery, and prevention. Backed by a16z Speedrun, and others.
We're a small team in NYC shipping fast and hiring two engineers. Full JDs: https://www.notion.so/hammock/Hammock-Open-Roles-3499f813ef2...
Backend Engineer — Build the financial and data infrastructure powering Hammock — payments, ledgers, health eligibility, integrations with Plaid, Finch, Lithic. Ideal: strong backend chops in payments/fintech/healthcare, deep understanding of relational/transactional data systems.
Full Stack Engineer — Own product features end-to-end across web and mobile. Ship dashboards, payments UX, and other consumer surfaces. You'll move fluidly between frontend and backend and have real say in how the product works & feels. Ideal: built consumer products before, opinionated about UX, comfortable turning ambiguous ideas into shipped features.
Stack: A lot of Typescript & Postgres, Next.js/Expo/React Native, Railway/Datadog/ PostHog.
Reach out: hiring@usehammock.co - let us know you're coming from HN. We're a small team and will respond quickly!
- GDP.pdf: https://surgehq.ai/blog/gdp-pdf-can-100b-ai-models-master-th...
- Building EnterpriseBench: https://surgehq.ai/blog/enterprisebench-corecraft
- RL Environments and the Hierarchy of Agentic Capabilities: https://surgehq.ai/blog/rl-envs-real-world
You’d be joining a rapidly growing team of former founders, engineering leaders and AI researchers from Google, Meta, Twitter, and Airbnb. We work in small groups, ship quickly, and value autonomy and ownership. No previous AI experience is required, if you have the engineering skills you can learn what you need on the job.
We're looking for senior engineers to work out of our offices in SF or NYC, or remotely. Please reach out to us at careers@surgehq.ai with a resume and 2-3 sentences describing your interest. Excited to hear from you!
Investors: We're well funded with investors like General Catalyst, Chemistry, Anthropic, Lachy Groom, Neo and founders from startups you know like Notion, Brex, Deel, and Mercury.
Roles: We're hiring engineers for in-person work over here at Yuzu's HQ in Chelsea, NYC. Primary need is for Fullstack/Product Engineers but we're also looking for a Data Engineer, a Backend Engineer and a Product Designer. Job board here - https://yuzu.health/careers You can check out our old office in our MTV cribs office tour (we just moved to a bigger space so need to do a new one) - https://www.linkedin.com/feed/update/urn:li:activity:7398820... Here's a little blog post we put out recently also: https://yuzu.health/blog/series-a
I'm Kev, the recruiting lead. Reach out to me directly if interested on kev ( at ) yuzu ( dot ) health
Our mission is to demystify health insurance, healthcare and medical billing. By utilizing cutting-edge technology and advanced data analytics, we deliver personalized recommendations on how to save money, maximize use of plan benefits, stay on top of reimbursements and avoid erroneous or inflated medical bills.
Currently open roles:
- Backend Engineer, https://jobs.ashbyhq.com/sheerhealth/cfa1d5d1-80b2-4588-b418...
- Automation Engineer, https://jobs.ashbyhq.com/sheerhealth/ccd28cff-eac8-4970-beb4...
- Strategy & Operations Manager, https://jobs.ashbyhq.com/sheerhealth/3354321f-78f4-414a-adbe...
Vantage is an a16z-backed FinOps / Cloud Cost Management platform that helps 15,000+ organizations globally like Block, Canva, Temporal, Rippling, FanDuel, CircleCI, etc manage their cloud, SaaS and AI costs. As a Solutions Architect, you will work hands-on with Vantage’s most strategic and technically complex customers to ensure successful adoption and long-term value. This is a highly technical, customer-facing role focused on implementation, architecture, and problem-solving, rather than pure support or customer success.
We're a well funded Series A company and [backed by a16z, Scale venture partners and founders of Cloudflare, DigitalOcean and Segment]. The company is between 50-75 people today and scaling up quickly.
We're headquartered in NYC but US-remote friendly (sorry, we can't handle international at this time).
Website: https://vantage.sh/ Learn More: https://www.vantage.sh/careers
We're building the AI layer for global hiring — matching companies with top technical talent and handling everything from evaluation to payroll. We process payments to contractors in 150+ countries and are scaling fast. Backed by Peter Thiel, Jack Dorsey, and others.
Software Engineer, Payments | SF or NYC
https://jobs.ashbyhq.com/mercor/3c02ed8c-3807-4aef-91cc-ccca...
Own the systems that move money across 150+ countries. You'll build and scale Mercor's payments infrastructure — handling global disbursements, reconciliation, and financial reliability at scale. Strong backend chops and interest in fintech systems required.
Infrastructure Engineer | SF or NYC
https://jobs.ashbyhq.com/mercor/296c4031-5e98-4772-95f5-a9eb...
Build and own the infrastructure that powers Mercor's core platform. You'll work across compute, networking, reliability, and developer tooling — keeping a fast-growing system stable and scalable. Ideal for engineers who care deeply about uptime, performance, and platform efficiency.
Software Engineer, Platform | SF or NYC
https://jobs.ashbyhq.com/mercor/cb67851b-0269-4cf5-996c-34c3...
Build the foundational systems that all of Mercor's products rely on — APIs, developer primitives, internal tooling, and shared services. You'll work across teams and have outsized impact on engineering velocity and product quality.
Software Engineer, Fraud | SF or NYC
https://jobs.ashbyhq.com/mercor/4d817fa9-8860-4063-9da7-f484...
Detect and stop fraud on one of the world's largest talent marketplaces. You'll build real-time signals, risk models, and enforcement systems to protect the integrity of Mercor's platform — balancing precision with a great experience for legitimate users.
Data Engineer | SF or NYC https://jobs.ashbyhq.com/mercor/7d9d9439-848b-4fb4-b276-9efc...
Build the data infrastructure that powers Mercor's matching, evaluation, and business intelligence systems. You'll design and own pipelines, warehousing, and data models that inform both product and operations at scale.
Software Engineer, Agents | SF or NYC https://jobs.ashbyhq.com/mercor/4f4fc8c3-4056-47bb-9e00-1db6...
Build the agentic systems at the core of Mercor's product — autonomous pipelines that evaluate candidates, match talent, and take actions on behalf of users. You'll work at the intersection of LLMs, product, and infrastructure to ship AI-native features.
Uncountable accelerates R&D for industrial scientists across leading materials, chemicals, and life sciences organizations. With our SaaS solution, our customers get better products to the market in half the time. Uncountable was founded by MIT and Stanford engineers and has been profitable since 2016. Our team has grown from 50 to 150 over the last two years.
Full-Stack Engineers | $130k - $220k + Equity
---> Uncountable is looking for engineers who can spearhead the development of the Uncountable Web Platform. The position is heavily product-driven and comes with challenges across the stack.
LLM Applications Engineers | $130k - $220k + Equity
---> Uncountable is looking for LLM applications engineers who can push the Uncountable data model forward through LLM-native UI's and application extensions.
--> Summer internships and working student positions are also available.
Learn more: https://www.uncountable.com/hiring/hn
Uncountable is hiring in New York City, San Francisco, London, and Munich.
Contact our CTO directly at jason@uncountable.com
At Factory we build Droids, autonomous software development agents that review PRs, implement features, run tests, fix incidents, and handle migrations for enterprise engineering teams. Droid is model agnostic and surface agnostic, and works across your CLI, IDE, Web/Desktop app, CI/CD, Slack, and Linear. Customers include Nvidia, Adobe, Adyen, Klarna, and Ernst & Young.
We raised a $150M Series C at a $1.5B valuation, backed by Khosla Ventures, Sequoia, Blackstone, Insight Partners, NEA, and NVIDIA.
We're hiring across the stack:
- AI Engineer: agentic systems, LLM integrations, evals
- Fullstack Engineer: platform, APIs, auth, billing, terminal UIs
- Frontend Engineer: web and desktop apps (React, TypeScript, Electron)
- Platform Engineer: infrastructure, sandboxing, CI/CD, cloud
- Product Engineer: end-to-end feature ownership
- Data Engineer: pipelines, analytics, telemetry at scale
- Security Engineer / Research Engineer
Stack: TypeScript, React, Node.js/Bun, Python, GCP/AWS, Firestore, Electron.
We're also hiring in these roles: Enterprise & Mid-Market AEs, Solutions Engineers, Forward Deployed Engineers, Product Marketing, Product Manager, Product Designer, Partnerships, and Operations (RevOps, BizOps, People Ops, Recruiting). Some roles available in NYC and London.
In-office 5 days a week in SF (walking distance to Caltrain). Catered lunch and dinner, full medical/dental/vision, 401(k).
If you have strong opinions about how AI should actually work for production engineering systems at enterprise scale: we want to talk.
Apply: https://factory.ai/careers
Evervault's mission is to make world-class data security effortless and pervasive. We use applied cryptography to secure the most sensitive data, in the most sensitive areas like payments, banking and healthcare. We build products to protect customer data with the latest advances in encryption and confidential computing, so our customers can minimize the headache of compliance and data security.
We are a small team (15 engineering, 35 overall) hiring across engineering, sales, marketing and finance for people who are passionate about building out our roadmap of products to protect companies from data breaches in a world where data has become gold.
Open roles:
- Senior Software Engineer (Payments) - Product Engineer - Design Engineer - Brand Designer - Head of Marketing Out stack is: Rust, Node.js (TypeScript), AWSApply here: https://evervault.com/jobs or ask me a question shane@
We build high-scale applications that streamline renting for millions. Our modern tech stack includes Python, Typescript, Node.js, React, and scalable cloud infrastructure.
We foster a collaborative culture where engineers have high ownership and autonomy, taking features from concept to deployment.
Join our sharp, supportive, and mission-driven team in our newly renovated SoHo/NoHo office.
Open roles:
Lead Software Engineer (https://jobs.lever.co/findigs/1ea92751-1c85-4eb6-84b4-86c529...)
Senior Software Engineer (https://jobs.lever.co/findigs/3b39616d-223f-4326-a500-f804c3...)
Mid-Level Software Engineer (https://jobs.lever.co/findigs/5e865781-244f-4e4f-b7bd-e09973...)
Competitive Base Salary plus Pre-IPO Equity
401k Matching up to 4%
Unlimited PTO
Lunch in office every day, home office setup stipend, monthly gym stipend
Job description: https://job-boards.greenhouse.io/addepar1/jobs/8460804002 Reach out directly here: douglas.clifford@addepar.com
Backend Engineer: (looking for Kotlin/Java/Scala experience). You'll work across the backend: building enterprise integrations, large-scale scraping and parsing pipelines, and systems that let users apply LLMs to millions of documents to generate insights at scale.
AI Engineer: Applied AI plus strong software engineering. You will build, evaluate, and deploy LLM-driven features like deep document analysis and interactive chat, working with models from OpenAI, Anthropic, and Gemini. Expect hands-on Python, ML system design, experimentation, and production reliability. Bonus for RAG depth and frameworks like LangChain, LlamaIndex, or Hugging Face.
We're looking to build our in-person team in NYC but also open to remote!
Apply: https://starbridge.ai/careers and mention HackerNews or email recruiting@starbridge.ai with your resume.
We are a team of expert researchers and engineers focused on securing embedded devices. We work with partners across critical industries, and on government-funded research programs (think DARPA). "Full-stack" for us doesn't just stop at back end code; it means being comfortable with operating systems, firmware, and signals going over the wire. You'll succeed here if you are a quick learner who loves working independently on tough, technical problems nobody has ever solved before.
Day-to-day tasks might include:
* Tearing apart a device in our lab, reverse engineering its firmware, and finding security vulnerabilities
* Developing an automated, robotic platform for hardware reverse engineering (custom hardware, vision models, user interfaces, etc.)
* Hooking and patching RTOS kernel functions to execute defensive device integrity validation code, without violating real-time requirements
* Building scalable servers for processing millions of device telemetry messages across thousands of concurrent connections
* Maintaining open-source reverse engineering tools (like OFRAK https://ofrak.com) and cooking up fun demos for hacker conferences (like this web game we built for DEF CON in 2023 https://ofrak.com/tetris/)
Our main office is in Manhattan, but we are building out a new office in Northern Virginia. US citizenship required. Bonus points if you have an active security clearance, or are willing to get one.
Be sure to mention Hacker News in your application.
I'm Alex, founder and CEO of River. I also wrote the first line of code and still ship PRs.
River is a client-first Bitcoin-only financial institution building the financial app people use every day to save in bitcoin and spend in dollars. We custody over 25,000 BTC, serve individuals and businesses across the U.S., and are profitable. We publish cryptographic proof of reserves monthly and our company financials annually.
Here's what our engineering team is working on:
- Real-time Bitcoin and USD payments, trading, and settlement on an Elixir monolith with a unified GraphQL API - Next-generation Bitcoin custody with quorum signing, key ceremonies, and geo-redundant infrastructure - Scaling our ML/AI systems (Python, PyTorch, XGBoost, LLMs) to automate operations and tackle fraud/risk - A ground-up React and React Native rewrite of our consumer app - Porting our Lightning Network infrastructure from Go into Elixir We're hiring: - Staff Software Engineer (Elixir) | $200K-$250K - Senior Software Engineer (React, Full-stack) | $150K-$220K - Senior/Staff Machine Learning Engineer | $200K-$250K Apply at https://jobs.ashbyhq.com/river?utm_source=Zp9nJyqvd4CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.
If interested, apply here --> https://grnh.se/e4e5dc881us
Our team thinks there's a lot of value in co-design of software harnesses and LLMs, particularly for small/medium models, particularly in the open model space.
Our colleagues across the isle do an awesome job at training the Granite model series, so we (physically and organizationally) sit in a uniquely good place to do impactful work in this space.
I am currently looking for early career scientists and engineers who are interested in LLMs and also one of {programming languages, formal methods, compilers}. Experience with Rust is a plus. Cool systems-y projects with formalizations on paper or in rocq/lean/etc also a plus. Neither is necessary, per se.
If this sounds interesting please send over an email: nathan@ibm.com
We built the largest open-source AI pentesting framework — 25k GitHub stars, 80k active users, 15B LLM tokens processed daily, 1,800 pentests run per day. Two of us right now. You'd be the third.
Looking for a founding-engineer engineer who's done 0→1 before and wants to own the architecture of something already at scale. You'll touch everything — infra, product, research tooling. Python/TypeScript stack, AI-native workflows, real security problems.
Email hiring@usestrix.com — tell us something you've built and why it was hard.
AI spend is skyrocketing in the workplace, and leadership can’t attribute, can’t classify, can’t forecast, can’t control that spend accurately. Flowstate is the insights & governance layer for AI workforces.
Location: London, New York.
What makes it interesting for an engineer: you’re not just building CRUD apps - you’re owning complex, multi-system infrastructure that touches lending, underwriting, compliance, and customer experience, all in a space that’s historically underserved and inefficient.
At its core, Zippy is using software to unlock access to affordable housing—turning a broken, manual financial process into a scalable, tech-driven product that directly impacts people’s ability to become homeowners.
We’re currently hiring Senior II and Staff Engineers with experience in functional programming languages.
These positions are REMOTE but we are hiring in the following states ONLY: Arizona, Connecticut, Florida, Georgia, Illinois, Indiana, Louisiana, Maryland, Michigan, Missouri, Montana, Nebraska, Nevada, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, and Wisconsin.
For more information and to apply:
Senior II: https://jobs.ashbyhq.com/zippymh/a720568e-be37-45bb-bd96-040...
Staff: https://jobs.ashbyhq.com/zippymh/1406c9b6-318e-4307-a8d6-b52...
Marker is a technology joint venture from 3 leading communications agencies. We’re an incubator building and launching force-multiplying software products for communications teams.
Our first product is Delve (https://delve.news) — a coverage monitoring, analysis, and insight toolkit to track and measure the entire online conversation about your business or industry.
Our product team is small and autonomous, but with the resources, expertise, and customer access of the global agencies we work with. We’re hiring an early engineer to join us on this journey; you’ll have a large impact on what we build, how we build it, and where we’re going next.
Our technology stack includes Deno, React, PostgreSQL, and Elasticsearch. Bonus points for expertise in any of: data visualization, distributed systems, web scraping, large-scale data pipelines.
Apply: https://careers.markercollective.com/jobs/479834-software-en...
No recruiters or agencies, please.
We are looking for experienced Site Reliability Engineers and Infrastructure Software Engineers to help build, scale, and secure the foundation of MongoDB Atlas, our globally distributed, multi-cloud database platform running across AWS, GCP, and Azure.
SRE at MongoDB is a builder role. We are heavily focused on making the platform more scalable, resilient, secure and self-service.
We have open roles (Senior, Staff, Lead) across several of our core Infrastructure teams:
- Infrastructure Security (InfraSec): Building infrastructure security controls and security observability tooling leveraging eBPF and Linux security mechanisms.
- Fabric: Building out service mesh, networking, and internal traffic routing.
- Storage Layer Services: Building our next-generation disaggregated storage architectures.
- Fleet Management & Deployments: Automating the lifecycle, deployments, and control planes of massive multi-cloud Kubernetes clusters.
- Atlas Infrastructure: Building core infrastructure operations on hundreds of thousands of Linux servers.
We're looking for engineers with a strong systems mindset who have:
- 5+ years of experience in SWE, SRE, or similar roles.
- Proficiency in at least one programming language: Golang, Rust, Python, C/C++ etc.
- Deep understanding of Linux internals, networking, distributed systems, and/or Kubernetes.
- Familiarity with at least one major cloud provider (AWS, GCP, or Azure).
- A builder's mentality: you think about failure modes, observability, and operability alongside correctness.
For any questions, or to apply directly (please mention HN) email: hani.benhabiles+hn@mongodb.com
You can view our open roles at: https://www.mongodb.com/careers/jobs
[Leadership] Engineering Manager (SF) https://grnh.se/s7yxefzs5us
[Leadership] Engineering Manager, Platform (SF, NYC) https://grnh.se/gwrtizx95us
Staff SWE, Product Security (SF / NYC) https://grnh.se/b2kbmt3j5us
Staff SWE, AI (SF) https://grnh.se/cq0caps45us
Staff SWE, Platform (London) https://grnh.se/b47vd66y5us
SWE, AI (SF, NYC, DC) https://grnh.se/yl9kuqrg5us
Sr SWE (SF, NYC, DC) https://grnh.se/gwf63pot5us
Sr SWE, Networking (SF) https://grnh.se/tdpez89u5us
Sr SWE, Data Governance (SF) https://grnh.se/ue4zfbjo5us
Sr SWE, Data Infrastructure (SF, NYC, DC) https://grnh.se/bq138yn05us
Sr Product Designer (SF / NYC) https://grnh.se/s96svypy5us
Sr Design Engineer (SF) https://grnh.se/z8ev1cgu5us
Product Manager (SF) https://grnh.se/kyvpq2ww5us
Junior Software Engineer: You'll work across our stack (Python, FastAPI, Next.js, React) alongside senior engineers, contributing to real features from day one. Great fit if you're hungry to learn, ship fast, and grow with a startup building cutting-edge agentic systems.
New Grad Software Engineer: Entry point for recent grads excited about AI and agentic systems. You'll get hands-on experience with our modern data stack (Postgres, ElasticSearch, ClickHouse, DuckDB), Kubernetes/AWS deployment, and Temporal.io workflow orchestration while shipping production code.
This role is based in our Manhattan office (4 days/week in-person). Full health and dental coverage.
Apply: https://forms.gle/kEi5MDDiaJKdyN3fA or email maksym at withlantern.com with your resume.
We do movies, ping pong blimps, etc https://labs.a24films.com/jobs/devops
If you email me, mention hn ;)
The world doesn't need another ERP. CoPlane is building the Agentic Orchestration platform that enables enterprises to orchestrate intelligent processes across their existing systems. Founded by ex-Stripe/Segment product and tech leads, we're changing how businesses operate their backoffice - helping them scale intelligence not headcount.
We're looking for an exceptional product engineer to grow our small team of engineers that include ex-founders, open source contributors (authors of neovim and neverthrow), and architects of petabyte-scale data platforms.
We are looking for someone that wants to own product features end to end (Python + Typescript/React) but is particularly spiky on frontend and UI. You'll build a platform for billion-dollar enterprises solving their hardest, most mission-critical automation problems.
If you're excited about working at the nexus of data, automation and AI, and want to make a significant impact in an early, well-capitalized startup with large enterprise design partners, we'd love to hear from you.
Roles: Product Engineer.
For more info and to apply: https://coplane.com/careers
We are building the trust stack for AI code generation, targeted at high-stakes computing where wrong numbers cost real money: a statically typed functional language designed for coding models, a compiler whose guarantees double as audit-grade trust infrastructure, and a coding model fine-tuned on the language with compiler fitness as the training signal. Language and model are co-designed.
Small team out of PyTorch, FAIR, and Meta. Strong institutional VC support from our pre-seed; active investor interest heading into seed.
Founding Research Scientist: own the agenda across the language and the model. Type system design, compiler analyses that produce useful fitness gradients, and fine-tuning open-weight coding models on a language with no pretraining footprint. Publish in PL and ML venues. Strongest fits cross between machine learning, programming languages, and formal methods. PhD preferred, equivalent output equally fine. Stack is Rust, Lean 4, Python.
Founding Engineering Lead: own engineering across compiler internals, language runtime, GPU backends, notebook and library tooling, and the AI infrastructure around training, evaluation, model release, and likely public inference. We already support x86 and ARM, CUDA and AMD, macOS and Linux, and the matrix grows. Real feel for statically typed functional programming expected; the kind of engineer who picks up Lean or Haskell on a weekend because they wanted to. Have led engineering before, formally or not. Stack is mostly Rust with Python where it earns its place, primarily on AWS.
Both roles: comfortable with early-stage ambiguity, define your own roadmap, defend it with evidence.
Apply: RS: https://wellfound.com/l/2Carrr Eng Lead: https://wellfound.com/l/2CewDC
Socials: YT: https://www.youtube.com/channel/UC4DLS_emqwKXO7A9qaOtxlw SS: https://burninai.substack.com/
Pathos is an oncology biotech building AI as the operating system for drug development. We have: - 200+ petabytes of multimodal patient data linked to outcomes - The largest foundation model in oncology (in development) - Backing to build a generational company - Founded by Eric Lefkofsky (Tempus) and Ryan Fukushima Learn more: https://pathos.com
This role is 0→1 product work. You'll build: - AI agents and copilots for internal teams (BD, clinical, computational biology, lab) - MCP-style servers so agents can safely interact with internal systems - Data pipelines into a governed warehouse / knowledge graph
Looking for senior software/ML engineers who: - Have 4+ years shipping user-facing systems - Are fluent in Python + TypeScript/JavaScript, comfortable full-stack - Have built LLM-powered workflows (OpenAI API or similar) - Have production experience with APIs, eventing, data engineering (GCP/BigQuery a plus) - Bonus: prior agent/retrieval/ML infra work, or experience in regulated clinical environments
Hybrid in NYC (3-4 days onsite). $180-200K base + equity (3-yr vest, no liquidity until exit). Visa support available.
Apply: email chris.poshka+hn@pathos.com.