Looking for opportunities to develop an AI-powered product with a practical impact? Look no further.
Matterhaul is building the AI-native ERP for industrial distribution and the hard goods supply chain. In other words, we're making it much, MUCH easier for materials manufacturers and distributors to access information about their products, answer questions with confidence, and speed up time to sale.
We've only been in operation for ~a year, and a couple of early design partners have asked to invest. Now, we're in the process of hiring a specialized Engineer to help us take our MVP to the next level.
Interested in doing more than riding the AI hype train? Shoot me an email at amber.auslander@matterhaul.com.
We generate full-stack apps and deploy them — a generated app becomes a live URL, on our infrastructure or in the customer's own AWS or GCP account. It's in production and it has more shell script in it than it should. You'd own it, and the mandate is to make it boring. Kubernetes, GCP and AWS deploy paths, CI/CD, observability, cost, tenant boundary.
No on-call rotation today — it's the founders and whoever last touched it. Building a real one is part of the job, not something you inherit alone.
4+ years production infra, Kubernetes past the tutorial, AWS and/or GCP at depth. The rest is on the page, including the open problems that don't flatter us. I'm a co-founder — ask me anything here.
You can apply at: https://www.supero.dev/careers/cloud-platform-engineer/
Intern Position: https://www.supero.dev/careers/software-engineer-intern/
LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Hiring:
>> Product Engineer | NAMER, EMEA, APJ (Remote) or SF (Hybrid): https://jobs.ashbyhq.com/livekit/463e2769-bb85-4429-96a3-3a1...
>> Staff Security Engineer | NAMER, EMEA, APJ (Remote): https://jobs.ashbyhq.com/livekit/efc06ff8-37c4-473e-8de8-bbb...
>> Forward Deployed Engineer | United States (Remote): https://jobs.ashbyhq.com/livekit/b889ef16-4d5d-4b71-b0a9-682...
>> Software Engineer, Agents | NAMER, EMEA, APJ (Remote) : https://jobs.ashbyhq.com/livekit/1757f49e-7e19-4c45-85f7-e46...
Co-founders: Russ d'Sa (CEO) https://www.linkedin.com/in/russelldsa/ & David Zhao (CTO) https://www.linkedin.com/in/davidzhao/
Check out our blog: https://livekit.com/blog
Our other roles: https://livekit.com/careers?utm_source=1bpyr8q375
MIRA builds lightweight AI glasses that act as a second brain: they remember conversations, answer questions in under a second, translate 60+ languages, and surface useful context through a private display. We recently sold out and shipped our first batch, and have raised $6.4M from General Catalyst, Naval Ravikant, Pillar VC, and others.
We're hiring a firmware engineer to work close to the hardware across C/C++ or Rust, RTOS, BLE, embedded Linux, microcontrollers, sensors and audio pipelines, power optimization, device communication, and low-level debugging. We're looking for 3+ years of software or firmware engineering experience and a track record of shipping complex technical products end-to-end. Consumer hardware and early-stage startup experience are strong pluses.
This is a full-time, in-person role in San Francisco. We can't provide current or future U.S. visa sponsorship.
Xaira Therapeutics is developing biological foundation models (not LLMs) to hit undruggable targets and cure disease. We've put together an incredible cross-disciplinary team of pharma veterans who have brought drugs to market, drug designers/AI scientists from Nobel laureate David Baker's lab, and engineers from tech in order to meet the moment and build a company to reimagine how drugs are made in the pursuit of better medicines. We're not a SaaS company, and the ultimate goal is to see the medicines we make delivered to patients.
I lead the engineering team and am hiring across multiple teams. There's:
- Research Engineering: work on a modeling team with the goal of making a model better. You think in tensors, understand what makes a kernel fast, and obsess over training throughput.
- X-Scientist: building an agentic copilot for drug development with access to our internal suite of tools. You have backend experience, have built tools for agents to interact with, and enjoy tinkering with agent harnesses.
- Data Engineering: we generate large volumes of data from our lab that provide critical feedback loops to our modeling efforts. You either hate or love lakehouses, have a preferred ETL orchestrator, and are intrigued by the problem of capturing data off of lab instruments.
- ML Platform: boy do we have some GPUs for you. Modeling teams need productive compute infrastructure, job scheduling, and numerous other affordances so that they can "just focus" on the model. You shudder at the words "falling off the bus", you have an opinion on how checkpoints should be recorded, and you've built tools that improve the modeling lifecycle.
Send me an email to apply: justin.yan@xaira.com Include a resume and tell me about something you've built that illustrates your skills.
Primarily hiring in the U.S. for more senior level roles.
We’re hiring across Engineering (Full-stack and Infra) and Data Science / ML roles. Hiring at Manager/Director 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.
At SentiLink, we stop identity fraud at scale. Our products protect banks, fintechs, marketplaces, and leading financial institutions from synthetic identity fraud, identity theft, and emerging threat. We analyze millions of applications while keeping real users moving fast.
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?
Cascade Space is building ground-based infrastructure to support missions to the moon and beyond. Instead of single large dishes, we're building arrays of dishes combined with a digital beamformer into one large aperture — comparable to a NASA Deep Space Network 34m dish. We raised our seed round last year and this is our first mechanical engineering hire.
You'll own mechanical integration of vendor dish systems with our in-house RF hardware (feeds, LNAs, amplifiers): packaging for ultra-low-noise electronics that has to survive outdoor conditions, alignment/tolerance strategy, and structural/environmental testing. When it's time to stand up our first array, you'll be on-site for deployment and commissioning. Full arc from CAD to field install.
Looking for 4+ years designing and deploying complex hardware systems, experience integrating electronics into outdoor/exposed environments, thermal management of sensitive electronics, precision mechanical assemblies, and owning vendor/fab-shop relationships. RF/antenna experience is a bonus, not required.
Note: US Persons only (ITAR/EAR — some customer datasets are restricted).
Apply: careers@cascade.space More info: https://www.cascadespace.com/careers/mech-e/
AI data centers are creating a massive new wave of electricity demand and putting even more strain on an aging grid. Strobe is building the power company that will meet that demand.
Our software turns batteries and generators at commercial and industrial buildings into distributed power plants that can buy, sell, and dispatch electricity in real time. We build the control stack for operating these assets and the trading platform that connects them to wholesale energy markets.
We’re a small, high-ownership team working on critical infrastructure. You’ll learn how the energy system actually works: what happens inside the electrical room of a large commercial building, how data centers are powered, how utilities and grid operators communicate, and how a battery gets commissioned and brought online.
This is early, technical, and very real-world. The software you build will control physical equipment, keep power plants online, and move money in regulated markets. We’re the only company actively trading distributed power in FERC-regulated wholesale markets, with multiple behind-the-meter power plants operating in NYC and expansion underway in California and along the East Coast.
I’m looking for an experienced SRE to own our infrastructure and reliability. We remotely operate millions of dollars of equipment, and it has to work. You’ll own our AWS environment, the control-room infrastructure that communicates directly with utilities and market operators, and the systems we use to deploy, observe, and operate a growing fleet. You’ll also work closely with the rest of the engineering team to establish good patterns as we ship new services and features.
You’re probably a good fit if you have deep AWS experience, have used Terraform seriously in production, write a lot of Python, and are comfortable working around Rust services. Energy experience is useful but not required (SCADA, DNP3, MQTT).
Stack: Python, TypeScript, Rust, Terraform, AWS, GraphQL/AppSync, MQTT, Grafana. We work in a monorepo designed for agent-assisted engineering workflows and are investing heavily in making engineers dramatically more effective with coding agents.
Apply: keeley@strobepower.com or https://strobepower.com/careers. Please mention Hacker News.
Artificial Analysis is the leading independent AI benchmarking company. We evaluate frontier language, image, video, speech and hardware systems across quality, speed and pricing. Our work is used by AI labs, engineers, enterprises, investors, policymakers and major publications to understand how the frontier is moving.
We’re a team of 40+ and expect to roughly double this year. We’re hiring across: - AI/ML and research: Senior AI/ML Engineer; Members of Technical Staff focused on applied AI research, language-model evaluations, inference, speech, AI hardware and robotics - Software engineering: Senior Full-Stack Software Engineer working with TypeScript, Next.js, PostgreSQL/Supabase and data visualization - Forward-deployed engineering: Language Models and Media Generation - Product: AI Hardware, AI Speech, and Image & Video Generation - Commercial: Technical, client-facing MTS roles for people from strategy consulting or technical/startup backgrounds - Operations and recruiting: Business Operations Manager and Senior Technical Recruiter
You’ll work directly with frontier models and the organizations building them, help define how AI systems are evaluated, and publish data and analysis used across the industry.
Important: these are in-office roles in San Francisco or Melbourne, depending on the role. We are not hiring remotely and cannot sponsor visas. You must already have authorization to work in the US or Australia. Roles and applications: https://jobs.ashbyhq.com/artificialanalysis
Justin here, founder @ Diffusion. Formerly co-founder & CTO @ StrongDM.
We're finding the steepest gradients in the economy between model capability and deployed practice. A large part of that work is currently related to software factory construction.
All career stages welcome (including new grads). We are particularly interested in:
* Current/former founders
* High consequence / high criticality technical backgrounds
* Top decile communicators (writing, speech, video) who also make computer go brrr
Please expect satisfying, dignifying intensity.
Email hello@diffusion.io
Mondrio (https://mondrio.io) builds agentic pricing management: AI agents plus pricing experts that keep B2B pricing current rather than a one-off, one-time exercise. The founding team ran 150+ pricing engagements before starting the company and are translating that expertise to shape the next frontier of pricing in the agentic era.
The role comes with significant scope and high autonomy. You will own the full product lifecycle: customer discovery -> rapid prototyping -> agent-ready specs -> shipping via agentic orchestration -> o11y and evals -> growth & expansion.
Here are some domains you will ship: - Multi-agent simulation to emulate the behavior of a buying committee - A2A pricing interactions governed by OPA/Rego policies defined from natural language - Generative UX driven by a MCP server with full system capabilities access - Autonomous quote generation and real-time deal intelligence during sales calls
We don't have PMs or product designers so you serve as the product bridge between the founders, pricing experts, and engineering. If you're a mature engineer, looking to work with a very senior/staff team across the stack: customers, models, server, clients (web, TUI, chatbots), evals, then this is the role for you. In short, the role is ideal for someone who has significant product engineering expertise and has sharpened their SDLC competency to be AI-native.
Apply at https://ats.rippling.com/mondrio/jobs/9fefe011-331a-43a2-83a....
Our mission is to advance humanity's ability to engineer biology. We approach this by understanding and improving AI’s application to biology use cases such as therapeutics and biosecurity. We are a group of engineers, scientists, and operations specialists who are driven by improving capabilities and interpretability. Some of our work is showcased on benchmarks.bio.
I run our engineering team and will read and respond to all emails sent to aidan@latch.bio. You can also apply here via a more structured form: https://jobs.ashbyhq.com/LatchBio.
New Lantern is building an AI radiology resident—think Cursor for radiologists. Our application integrates the three software tools radiologists use all day [1], together with AI, to create a platform that saves radiologists toil and lets them focus on reading images and finding disease.
We are a series A startup with ~20 engineers (~40 total staff), have a number of live customers generating revenue, plenty of runway, and are backed by Benchmark, Anthropic, and other great investors. Our customers have told us they would cry if they couldn't use our product anymore.
We're hiring for backend and product engineering, as well as a founding recruiter to help us scale. You'll work directly with our founder/CEO, our staff radiologists, and our end users to build a product that radiologists rely on daily. You'll have real ownership and autonomy, and ship meaningful work frequently.
I'm Steve, New Lantern's Head of Engineering. If you're interested or want to learn more, shoot me a note at (my HN username)@newlantern.ai. I've already hired one engineer from HN this year and interviewed many more!
[1] a radiology image archive & viewer, a medical report dictation system, and work management system
We build customer success agents and account intelligence that do the actual manual work — so CS teams can focus on the relationship-driven work that drives growth.
What we're looking for:
- You build with AI IDEs (Cursor, Claude Code) as a force multiplier — not occasionally, as your default
- You've shipped something with LLMs in production (agents, RAG, evals — not just wrappers)
- Comfortable owning a customer-facing feature from idea to production without a lot of hand-holding
- Based in the US — SF Bay Area or LA strongly preferred.
Why Cora:
- Work on cutting-edge applied AI: voice agents, knowledge graphs, multi-agent systems, evals, simulations, and more
- Real users, real impact, high autonomy
- Fast, fair interview loop — no BS
- Fully covered healthcare for you and your dependents
- 401(k) plan
- Flexible time off
Learn more: https://www.cora.ai/
Interested? Email careers [at] cora.ai — these go straight to me, and I read every one.
I am hiring for multiple roles in cybersecurity x AI [1]
We have security research and fullstack engineer (platform, product).
We are hiring in SF in office only at this point.
Candidating is one form away[2]
[1] https://tolmo.com/about/careers/ [2] https://jobs.ashbyhq.com/tolmo/form/website-generic
What we do: Hospitals run critical operations (staffing, labor planning, and capacity) on spreadsheets, phone calls, and gut instinct. Labor is the biggest cost and hardest operational problem, and it’s still largely manual. Vitalize is building the operating system for hospital labor (and ultimately capacity): we forecast demand from real hospital data (e.g., ADT + historical patterns + acuity) and translate that into concrete staffing decisions: next month’s schedule and the next shift.
Traction: - ~$37M raised - Launched 2024; ~$13M committed ARR across 10+ health systems - Live in 20+ hospitals and growing quickly
The role: We're hiring a PM to own the product experience that takes a hospital from signed contract to successfully using Vitalize in production. Getting there is complex: every health system has its own HRIS, scheduling workflows, union rules, and technical environment. This team builds the custom integrations and internal tooling that make those deployments faster, more repeatable, and less manual as we scale.
We're looking for a PM who... - Led messy third-party enterprise integrations deep enough to make real technical calls with eng - Has built internal tooling with an internal team as the customer - Prioritized a roadmap under live GTM pressure and held the line when the loudest deal wasn't the right build - Startup experience, where the system you were building didn't exist yet
If you're interested, email me mark@vitalize.care
Comp: $215K-$260K + equity
Paramark helps Marketing teams optimize spend across all of their channels and programs. There are proven scientific ways to do this, but they are poorly understood and practiced by only a tiny fraction of teams. Our product ingests data from all of our customers' marketing channels and uses it to train open-source ML models for both measurement and experimentation. This makes it possible for any marketer to use these methods.
In this domain, it's hard to figure out what to build, and it's even harder to be both accurate and simple. You'll be joining a small team -- we have four product engineers. That means owning systems end to end and having real influence over what gets built. Your typical project will start with a high level goal, and you will figure out the rest.
Founded 2023, 15 people, $8M from Greylock and others, cash-flow positive. Reasonable working hours: when the Mercury News covered the return of 996 culture, we were the counterexample. "We don't think early stage startup life requires 18-hour days, or even 12-hour days." https://www.mercurynews.com/2025/08/25/silicon-valley-startu.... 4 weeks PTO plus federal holidays, medical/dental/vision (100% of employee premiums, 50% for family).
Looking for 8+ years, full-stack. Some exposure to statistics, experimentation, or A/B testing helps.
Stack: TypeScript, React, Python, Postgres. Google Cloud, Kubernetes, FastAPI, taskiq.
Process: intro call; technical phone screen; one-day onsite in SF (travel covered for remote candidates)
In-person: https://paramark.com/careers/software-engineer-l4
Remote: https://paramark.com/careers/software-engineer-l4-remote
I'm the CTO and I read every application myself. Happy to answer questions in this thread.
We're a team of frontier AI (including ex-Anthropic, METR, OpenAI), insurance, and governance people building incentive infrastructure to help ASI go well. We red-team, certify, and insure AI agents - working with AI category leaders like Cursor, ElevenLabs, Fin, Harvey, Lovable, and UiPath; auditors like Schellman and KPMG; insurance partners at Lloyd's of London; and the AIUC-1 Consortium https://www.aiuc-1.com/consortium.
We've raised $55m from investors including Ribbit, First Harmonic, and Nat Friedman, and we're hiring across the board in San Francisco.
Apply to our MTS role: https://jobs.ashbyhq.com/aiuc/2816bb05-2a1f-4600-8780-deb152...
Browse all of our open roles: https://jobs.ashbyhq.com/aiuc
We're building the intelligence layer for physical risk: digital twins of individual homes, run through physics-informed AI World Models, to see exactly how a specific property will perform in a wildfire or hurricane — traditional models only guess at the neighborhood level. That precision lets us do what insurers historically couldn't: measure how much a new roof, cleared vegetation, or better siding actually cuts risk, then price coverage accordingly, turning mitigation into a real financial incentive instead of just advice.
We've scaled to ~$10B in insured assets in just two states in under a year. The interesting problems: ML surrogates that run physics simulations 1,000x+ faster without losing accuracy, structure-level digital twins built from imagery and property data at scale, and systems that reason across risk, cost, and homeowner tradeoffs — we're hiring across engineering and applied science.
Open Roles:
Member of the Technical Staff, AI Harness (Full-time, Hybrid, $270-325k, Offers Equity) - https://www.standinsurance.com/careers/259bb94f-1dfd-458f-88...
Loft builds and operates shareable satellites so customers can fly a payload without building a spacecraft. We integrate, launch, and operate the mission end to end: Earth observation, IoT, on-orbit AI, national security. 30+ missions flown since 2017, fleet on track for 30 satellites by 2027, offices in SF, Golden, and Toulouse.
Our Cloud Infrastructure team runs the ground segment that talks to the fleet. This is an SRE role with a twist: we apply DevOps practices to spacecraft control (we call it SatDevOps), and we'll train you to operate the satellites.
What you'd own: - Hybrid cloud infra on GCP + Kubernetes: provisioning (IaC), CI/CD, GitOps (ArgoCD/Flux) - The observability stack (Grafana, Prometheus, Loki, tracing) across ground and flight systems - Reliability: RCAs, fault tolerance, performance tuning, long-term fixes over patches - Software-defined networking between ground stations, cloud, and mission ops - Developer experience: tooling and environments for the flight software and ops teams
Looking for: strong public cloud (ideally GCP), deep Kubernetes, one backend language (Go/Python/Rust/C++/Java), IaC + CI/CD in anger, and someone who can design HA systems and then run them. Nice to have: FinOps, security tooling, orchestration in resource-constrained environments.
Benefits: 100% company-paid medical/dental/vision for you and dependents, 401(k) + equity, flexible PTO + 12 holidays, 14/10 weeks paid parental leave, daily catered lunch, relocation assistance, and time with the team in France.
Apply: https://jobs.lever.co/loftorbital/3ae5c3e3-c1e0-4311-83b5-0b... and mention HN in your application.
Hi all, I’m Yuriy, founder of Puma.tech. Prev. worked at Cloudant (YC S08), Meteor (YC S11), Parse (YC S11, Facebook/Meta), and explored AI/ML (computer vision for self-driving cars).
We have 2 products:
1. https://PumaBrowser.com: iOS & Android mobile browser with built in LLMs & wallets. 1m+ downloads.
2. https://PumaAI.com: small research lab focused on building private local/hybrid alternative to ChatGPT.
Open Roles: Eng (iOS/MacOS, Android, Ai/ML, Browser Extensions), Based Social Media Intern; Internships: Eng, Design, Growth
We’ve raised a few rounds from some of the best builders in ai and crypto:
Protocol Labs (YC S14), Chris Larsen (Ripple), Anatoly Yakovenko (Solana), Illia Polosukhin (NEAR Protocol), Sridhar Ramaswamy (Snowflake CEO), Jason Warner (poolside.ai, ex-GitHub CTO), Don Ho (Orange DAO, Quantstamp W18), Evil Rabbit (Vercel), John Phamous (SF Compute) and other amazing builders.
How to Apply: email careers+hn [at] puma.tech with your GitHub, a note on what you're most proud of building and what you'd like to build next.
Thank you!
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. Our team has grown from 100 to 200 in the last year.
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.
--> Summer internships and working student positions are also available.
Learn more: https://www.uncountable.com/hiring/hn Learn about our agentic coding practices: https://engineering.uncountable.com/coding/.
Contact our CTO directly at jason@uncountable.com
come build a cloud. we are doing everything from custom hardware to custom ssh servers to our own global load balancer. very senior small high-trust team looking for someone we can rely on to get done whatever is most important in the stack for the business. some days that means patch the vmm. other days it means figure out passkey quirks. more about what we are building here: https://crawshaw.io/blog/building-a-cloud email me at david@exe.dev.
Brilliant is building the world's first graphical AI tutor: a collection of interactive learning experiences that both the learner and their AI tutor can see and manipulate. In a world of cognitive offloading, Brilliant's AI gets people to actually think and solve hard problems.
We're hiring an interactive-focused engineer to craft the building blocks that power it. Each interactive exposes an API used by learning designers, our authoring agents, and the tutor itself. And every configuration those APIs can produce has to be a correct, solvable, meaningful puzzle. It's a tricky technical problem with a big payoff for our learners.
Engineers at Brilliant think about both "building the right thing" AND "building the thing right" while pursuing high standards of excellence for ourselves, our product, and our codebase.
If you're energized by the prospect of doing the best work of your career and changing how the world learns, you can learn more and apply here: https://brilliant.org/careers.
We're a systematic energy trading company trading virtuals and PTPs across the US. We are hiring a mid-level quantitative researcher; the ideal candidate is process oriented and has a team-first approach. You would work closely together with the founders to build out our expansion in the US with focus on PJM. Our team is ex-D.E. Shaw, Optiver, and Stanford. We're bootstrapped, profitable, and growing. Compensation is all-cash and paid from company profits, not venture funding.
What we're looking for:
- 3+ years of experience trading virtuals/PTPs/FTRs on US ISOs (experience with PJM strongly preferred)
- Fluent Python skills (e.g. numpy, matplotlib, pandas, or similar)
- Fluency with statistics (e.g., sampling, biases, t-stats)
- Crisp written communication — we're deep-work focused and async-heavy
Nice to have: experience with LLM-assisted development, experience building quantitative trading algorithms
Hybrid, based in San Francisco or Seattle. Fully remote US-based exceptions can be made if the candidate is a particularly strong/good fit. Candidates are expected to work in person 3 days a week.
Apply: email hiring@amplifyrenewables.com with resume + an (optional) short note on a research project you’ve owned end-to-end; we’re interested in how you generated the idea, tested it, communicated to others, and implemented it. Please mention HN.
Search terms: quantitative trading, energy, power markets, ISO, forecasting, electricity, PJM
Discord is where communities and friend groups spend time together, on desktop, mobile, and now more and more inside games and third-party apps built on our platform. That surface area, plus a huge, engaged, occasionally adversarial user base, makes application security a genuinely hard and interesting problem here.
We're hiring a Senior Application Security Engineer to join the Product Security team. Responsibilities include threat modeling and secure design review with product and platform teams, building and improving AppSec tooling (SAST/DAST/dependency scanning), and working directly with engineering teams to remediate findings.
Stack: Python primarily, some TypeScript/React, some Rust, occasional JavaScript. Runs on GCP.
Looking for: hands-on AppSec experience (not just compliance-flavored security), comfort reading and reviewing code across languages, and sound judgment on prioritizing real risk over checklist security.
Interview process: recruiter call, coding round, HM interview, virtual onsite, decision.
Apply: https://job-boards.greenhouse.io/discord/jobs/8656854002
We're building agentic AI for mortgage lending — automating document processing and income qualification for loan originators.
Underwriting a loan means pulling numbers out of a few hundred pages of paystubs, W-2s, bank statements, and tax returns, then applying underwriting guidelines that run to thousands of pages of edge cases. Most of it is still done by hand.
Problems we actually work on: routing scanned pages to OCR vs. text extraction when the text layer is unreliable; extraction pipelines where a wrong number is much worse than a missing one; running long agent workflows durably so a failure three steps in doesn't restart the whole loan; and evaluating multi-step output against guidelines that are themselves ambiguous. We put real effort into eval infrastructure, because "the demo looked good" does not survive contact with a lender's compliance team.
Stack: Python, PydanticAI, Restate for durable execution, Postgres, AWS. Frontier models from OpenAI and Anthropic plus open-source models where they win on cost or latency.
We raised an $8M seed led by Kleiner Perkins and have paying customers in production. Team previously at Snowflake, PayPal, Twitter, Atlassian, and Microsoft.
Comp: $250k+ base, meaningful seed-stage equity, 5% 401(k) match, full health coverage, commuter stipend, gym membership, daily office breakfast & lunch. Full relocation to SF covered.
Onsite in SF. Visa sponsorship: yes.
Email hiring@balerion.ai with "HN" in the subject, plus a resume or GitHub.
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.
We're open to both newly-graduated engineers or more senior engineers, provided they meet our bar. We're particularly interested in true full-stack engineers, with strong React / Typescript / CSS skills to complement comfort in a Python / Django environment. We're also seeking engineers with experience leveraging AI to automate complex operational processes.
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
--- also ---
RINSE | ONSITE in San Francisco, Los Angeles, Chicago, Boston, New York City, New Jersey, Seattle, Austin, or Washington DC | IT Associate | Full-Time | Salary: $60k-$120k USD | https://www.rinse.com
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.
We'd like to add to our growing IT team, managing networks and endpoints across a dozen sites and hundreds of employees. This team is embedded into the engineering organization and is intimately involved in R&D efforts as well as supporting our corporate functions. We're largely cloud-based, with a meaningful MacOS and Linux fleet and a bit of on-premises hardware. We're leaning into an AI-supported IT function; we expect you to be making forward progress, not simply responding to tickets.
Because this role has some physical hardware responsibilities, we'd prefer it be filled by someone in the above localities, even though the vast majority of the role can be performed remotely.
You will join a high-caliber team where collaboration, honesty, and open communication are at the core of everything we do.
Search term bingo: Help Desk, Information Technology, LAN, Networking, MDM, Mobile Device Management, Systems Administration, Network Administration, Security, Cloudflare, Systems Engineer
We're looking for cracked, optimistic engineers/students with good systems taste and high tolerance of ambiguity. We're a team of ~10 in SF, building a GPU neocloud. High agency, lots of freedom, very little boundaries.
Think GPU datacenter bring-up, storage, networking, and designing IaC. Also think optimizing AI workloads, env design, minimizing GPU bring up times, and maximizing hardware fungibility.
Email sasan at inferra.ai with anything relevant. For internships: please tell what you'd like to do in the next ~year, if you could do anything.
We treat research, engineering, and creativity as first-class citizens. We're looking for engineers to join our research, product, and GTM teams.
What we value (staff & company writings):
- AGI: https://www.matthewnewton.com/blog/arc-challenge-diffusion
- Diffusion research: https://re-n-y.github.io/devlog/rambling/steering/
- Pragmatic LLM reflections: https://maxemitchell.com/writings/i-read-all-of-cloudflares-...
- Low-level computing: https://gab-menezes.github.io/2025/01/13/using-the-most-unhi...
- Open-sourcing AI research: https://www.krea.ai/blog/flux-krea-open-source-release
Current projects:
- WebGL2/WebGPU for node-based tools & CRDTs for collaboration
- Large-scale multimodal model training
- Cross-service metrics, tracing, and observability
- LLM-driven JS bundle optimization
-- To apply, email austin+hn@krea.ai (use the +hn suffix to make sure your email is prioritized!)
Come work on my team! (We’re hiring lots of engineers right now, but I’m biased toward my own group today.)
Factory builds software development agents that accelerate the world's largest enterprise engineering teams. We're helping customers including Nvidia, Adobe, Adyen, Klarna, and Ernst & Young turn their engineering organizations into autonomous development systems — shipping code, reviewing PRs, running tests, and deploying continuously.
We're seeking a talented Security Engineer to join our team. In this role, you will play a critical role in developing and maintaining the security foundation of our platform. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, Kubernetes, CI/CD, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities.
Software Engineer, Security: https://factory.ai/careers/software-engineer-security
Other roles: https://factory.ai/company#careers
MintMCP gives IT one place to roll out AI agents easily, providing security teams governed identity, access, and visibility while engineering teams connect MCP tools, LLMs, and coworker agents. We're rolled out to 40+ paying customers including Braze, Coursera, and Stability AI in the last 6 months.
We also doubled our team in the last 6 weeks from 6 to 12 FTEs, and almost everyone is a seasoned startup vet at staff or principal level.
If you have experience in infra, security, and agents, and believe MCP, while not perfect, will evolve to become critical AI infrastructure, you might find the problems we're working on exciting!
You can learn more and apply via MCP here: https://leads.mintmcp.com/join/7oLdJfmIA-aW
We recently raised series A and are hiring driven engineers who have strong product sense, leverage AI effectively, communicate well, and want to build technically interesting products that benefit the everyday person.
You'll join as the lead product engineer on greenfield projects that are scoped to take us from 1-100. We're building a verticalized factory for claims. ex:
* agentic legal case origination agent - responsible for validating things like privacy violations, research existing case law to find new cases for us to operationalize
* real-time claims processing - claim quality / fraud detection at scale, harnessing regulatory requirements for novel approaches
and much much more
Chariot Claims is a platform that helps everyday people find, file, and manage legal claims without any hassle. We proactively identify companies accused of breaking the law and violating consumer rights, and fight so they can get the compensation they may be entitled to. We partner with law firms to execute on legal proceedings.
Our team is fully remote, with hubs in Berlin, NY, DC, and (soon) SF. Onsites for the team in the US every ~2 months, and curated offsites in a beautiful location 2-4 times a year with your +1.
https://jobs.ashbyhq.com/chariotclaims?departmentId=c3e8e98e...
Telescope is an early stage growth VC firm with a focus on enterprise software companies. We're a small, efficient team, with a beautiful office in Presidio. We work closely with entrepreneurs and help them fill critical business functions as they grow. Our tech team is mostly oriented at team efficiency and improving investment decision-making using data. This involves replacing as much investor work and intelligence with automation as possible. If you're interested in PE, agents, and data science, then this might be a good role for you!
We’re looking for someone with 3-10 years of experience.
To apply email mike at telescopepartners.com
At Middesk, we're building the business identity infrastructure that banks, fintechs, and platforms rely on to know who they're doing business with — powering KYB (Know Your Business) compliance, fraud prevention, and entity verification at scale.
We're expanding beyond verification into a full agentic compliance platform — orchestrators and specialist agents that automate what used to be manual compliance review. Backed by YC, Sequoia, and Accel (Series B). We're a small, sharp team with high ownership — engineers work closely with customers and leadership, and get to see their work ship fast.
Open roles:
Forward Deployed Engineer ($148K – $255K) — NYC or SF, hybrid (2x/week in office) Apply here —> https://jobs.ashbyhq.com/middesk/a72b1048-1001-49b1-92bd-9c4...
(Senior) Software Engineer ($148K – $250K) — NYC or SF, hybrid (2x/week in office) Apply here —> https://jobs.ashbyhq.com/middesk/e1c6af86-dce1-495f-a710-ad3...
Data Scientist ($175K – $210K) — NYC or SF, hybrid (2x/week in office) Apply here —> https://jobs.ashbyhq.com/middesk/f0da59d3-43fa-460b-88ea-4fc...
Lead Data Scientist ($210K – $250K) — NYC or SF, hybrid (2x/week in office) Apply here —> https://jobs.ashbyhq.com/middesk/7fd5aeb2-c33c-4f0a-ad3d-216...
Software Engineer, Infrastructure ($148K – $230K) — SF, hybrid (2x/week in office) Apply here —> https://jobs.ashbyhq.com/middesk/aed2c535-cd58-4920-9618-a0c...
Shared Context Lab (https://sharedcontextlab.com) is building adaptive personal AI that understands the texture of real life: relationships, routines, responsibilities, and goals. Our closed beta is garnering very positive feedback and retention. We’re venture backed + incubated at iconic design firm IDEO.
We’re looking for a senior, hands-on engineer to tackle:
- Core agent, product, and infrastructure systems
- Context, memory, orchestration, and tool use
- Simulation environments for users, schedules, relationships, and multi-agent interactions
- Evaluations for long-horizon agent behavior, reliability, and safety
We care a lot about high agency, collaboration, and high ownership mentality. Strong product judgment and care for user experience matter as much as technical rigor.
Apply here: https://sharedcontextlab.com/mts or reach out at join@sharedcontextlab.com
In this role, you'll be the technical foundation our scientists, ML engineers, and software engineers build on. At the core of our efforts is an operational physical weather model written in Julia, executed on GPUs. Responsibilities include designing and operating cloud environments, deployment pipeliness and infrastructure-as-code that keep our systems reliable, scalable, and fast. Our ideal candidate has extensive experience in HPC environments with Slurm management.
Baton (baton.io) is Ryder's in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy. We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world's most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder.
Baton's mission: enable supply chain on autopilot.
Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you'll love it here.
Current openings at Baton:
* Senior Product Manager (hybrid, $190,000 - $240,000): https://grnh.se/t1doekv97us
* Software Engineer - Data Platform (hybrid, $162,000 - $216,000): https://grnh.se/8pm4cytg7us
* Software Engineer - Infrastructure, Data Platform (hybrid, $162,000 - $216,000): https://grnh.se/wb558ncz7us
* Staff Software Engineer - Infrastructure, Data Platform (hybrid, $260,000 - $350,000): https://grnh.se/55wbfa9g7us
* Senior Product Manager, Machine Learning (hybrid, $190,000 - $240,000): https://grnh.se/537yusl37us
* Senior Product Designer (hybrid, $140,000 - $190,000): https://grnh.se/bo7oe4uv7us
* Software Engineer, MLOps - Machine Learning (hybrid, $162,000 - $216,000): https://grnh.se/770pgzv17us
* Senior Software Engineer - Full Stack, Technical Lead (hybrid, $200,000 - $250,000): https://grnh.se/j8zrjo0k7us
Conductor lets builders run teams of coding agents. We're a small team, we recently announced our $22m Series A, and we're looking for exceptional software engineers and designers to join us.
Applying takes <2 min: https://www.mechanize.work/apply/
We build environments that frontier AI labs use to train their models to do real-world software engineering. We have more demand than we can keep up with, so we're hiring fast.
- Staff Software Engineer, Patient Experience: Fullstack tech lead for our patient mobile/web apps. Stack: Expo, React Native, TypeScript, Kotlin. Apply Here: https://grnh.se/k4xos2c24us
- Senior/Staff Security Engineer: A builder-first role focused on shipping secure-by-default tooling and guardrails, not managing compliance tickets. Stack: Kotlin, Python, GCP.
Apply here: https://grnh.se/jm9kjyz34us
- Principal Product Manager, Patient Growth: Data-fluent PM to own full-funnel acquisition and retention.
Apply here: https://grnh.se/iayapr1c4us
Rootly is an AI-native on-call and incident response. Modern Slack and MS Teams native incident management—from your first alert to retrospective. Trusted by 100s of leading companies including NVIDIA, Squarespace, Canva, Grammarly, Elastic, Tripadvisor, and Figma. Hiring across design, engineering, GTM, and sales https://rootly.com/careers#open-roles
We’re building the Voice AI infrastructure layer for financial services. Banks and fintechs use Monumint agent to automate loan origination, account opening, servicing and customer engagement.
You’ll work on:
1. Driving down voice latency to human-conversation levels while scaling to thousands of concurrent calls
2. Deploying agents that run durable workflows across days or weeks, maintaining state across calls, tools, documents, and human handoffs
3. Making AI agents reliable and observable in a financial workflows: tool calling, evals, guardrails, and deterministic fallbacks
We’re early, you’ll have a huge impact. Email me (my name at the URL) or apply here: https://www.workatastartup.com/companies/monumint
At Shepherd, we're pursuing the most ambitious technical vision in commercial insurance: fully autonomous underwriting. Shepherd is an AI-native commercial insurance platform transforming how high-hazard industries get covered.
The infrastructure behind the AI boom (data centers, semiconductor fabs, renewable energy assets) has to be built and insured, but traditional carriers weren't built for this speed. We built Shepherd to solve that.
We announced our $42M Series B earlier this year! That brings our total funding to over $60M — led by Intact Private Capital, the investment arm of one of the largest insurers in the world. Intact is not only our lead investor but also a carrier partner, a testament to the confidence the incumbent industry has in what we're building.
We’re looking for product-minded, high ownership engineers to join our team! The Engineering team is HQ’d in SF, but we’re growing in NYC now too!
We’re hiring for 4 Senior SWEs, 1 MLE and 1 AI PM in SF, and 2 Staff SWEs in NYC. Engineers own projects end-to-end so full stack ability is expected.
Check out our open roles here: https://shepherdinsurance.com/careers
Our stack includes: Typescript, React, Next.js, GraphQL w/ Apollo, Node.js, Postgres & Redis
– If you have experience building AI agents or multi-step reasoning systems, we’d love to hear from you.
* In the form, be sure to mention that you heard about this opportunity via Hacker News.
If you want to read more about our team and culture, check out our blog: https://shepherdinsurance.com/blog
We are well funded and hiring founding engineers in SF. https://www.aerdos.com/careers/member-of-technical-staff
Origamics is building AI models that reason about electronics and help turn schematics into production-ready boards.
We’re looking for a Founding Researcher to work directly with the founders on physics-informed models for Electronics design — physical behavior, simulation, and scientific ML. You’ll tackle open-ended research problems, push models from experiments to production and real hardware, and have the opportunity to publish novel research along the way.
You’ll likely be a good fit if you have strong ML/research fundamentals, enjoy 0→1 problems, and have experience with scientific ML, geometric deep learning, numerical methods, simulation, EE, or applied physics. PhD is a plus, not a requirement.
Apply: https://www.origamics.ai/join-us?ashby_jid=7acf3a2d-46a5-420... (Mention HN when applying.)