Korva is building the AI-native operating system for health plan administration. Self-funded health plans cover 100M+ Americans, yet third-party administrators (TPAs) run them on manual processes and legacy software. We're rebuilding that back office with AI agents that automate high-stakes operational workflows. Getting this right matters — millions of Americans' coverage depends on it.
Founded by UC Berkeley alums with deep experience in healthcare data, payer integrations, and provider workflows. Pre-seed, well-funded, NYC-based.
This is a broad founding engineer role: you'll design core platform infrastructure from scratch, build and ship AI agents for TPA operations, own systems end-to-end, and at times embed directly with customers to turn operational knowledge into product. You'll work closely with the founders and shape both the roadmap and the engineering culture.
We're looking for someone with 2–5 years of SWE experience who writes clean, reliable code, has strong product instincts, uses AI as a core part of their workflow, and is comfortable in the ambiguity of an early-stage company. Interest in healthcare or complex regulated industries is a plus—domain expertise not required on day one.
Email hn ~at~ korva ~dot~ health with a bit about yourself and what excites you about this.
Sorry, no visa sponsorship at this time.
Curie is a telehealth platform combining clinical expertise with AI to deliver personalized, accessible care — intelligent intake, treatment matching, and AI-powered tools for clinicians. Team includes ex-founders, clinicians, and engineers from Stanford, Harvard, UCLA, Berkeley, and AWS. Well-funded and growing fast.
We're hiring an AI Engineer to own the microservice layer powering our clinical AI: agentic intake workflows, RAG pipelines grounded in medical guidelines, session/memory management for long-running clinical agents, and HIPAA-grade observability and safety guardrails. You'll shape the AI architecture of a healthcare product from the ground up.
Stack: Langgraph, Langfuse, Go, Python, TS, GraphQL, gRPC/Connect-RPC, PostgreSQL, GCP/Vertex AI, AWS Bedrock.
Looking for: 5+ years engineering, meaningful production AI/ML experience, LLMs in production (prompting, structured output, evals), RAG and agentic patterns, comfort across Go + Python + cloud. Bonus: FHIR/HL7, fine-tuning, healthcare AI background, startup experience.
Apply: https://jobs.ashbyhq.com/curie/cea56a9a-d238-4101-a56c-f94a4...
Our mission is to build intelligence that helps B2B sales teams win deals. Our first product is a suite of AI agents for sales teams that helps create winning proposals and RFP responses for $1.4 Trillion dollar industry.
Our founding team is from Google Deepmind, Stanford, UC Berkeley, and IIT. We were part of Y-Combinator S2023.
JD | Apply: https://inventiv.notion.site/Senior-Full-Stack-Product-Engin...
Website: https://inventive.ai
CivAI is a non-profit that educates policymakers and the public about AI risks using live software demonstrations. As a software engineer, you will be responsible for conceiving of, and building end-to-end, the software demonstrations that are the core of what we do. These will explain both prosaic AI capabilities and more nascent ones that are fast approaching.
- Stack: SvelteKit, Python
- Salary: $125-200k
Copper Home (fka Channing Street Copper) builds battery-integrated induction appliances for home electrification — we're making decarbonization accessible by putting energy storage inside everyday products, starting with the stove.
The firmware team is small and owns application firmware, device connectivity, automated testing, manufacturing tools, and an MQTT backend for OTA updates and fleet telemetry.
We're hiring a staff embedded systems engineer focused core firmware architecture on the Charlie induction range.
In this role, you may:
- Own major pieces of our embedded platform and prototypes of future products.
- Lead improvements to device connectivity (Wi-Fi, BLE, OTA, provisioning, failure recovery) and energy management.
- Evolve fleet management, telemetry, and remote management/update systems with a focus on robustness and cost efficiency at scale.
- Mentor engineers through design reviews and day-to-day technical collaboration.
Tech stack: C and Python; FreeRTOS on ESP-IDF; 802.11, BLE, CAN; MQTT; AWS
Salary: $182k–$210k + equity
Questions? Send me an email (<username>@copperhome.com) or reply here.
More details and apply: https://copperhome.com/pages/jobs?gh_jid=4119303007
All three positions are in Berkeley, California:
- Head of Marketing: https://app.deel.com/job-boards/swingvision/job-details/f248....
- Data Labeling Intern: https://app.deel.com/job-boards/swingvision/job-details/a9a7....
- Head of Product: https://jobs.deel.com/swingvision/job-details/cb631dcb-1a80-....
PrairieLearn (https://www.prairielearn.com) is an open-source assessment platform used by universities across the US (Berkeley, Princeton, Michigan, Illinois, and others). We power mastery-based learning and large-scale exams.
We’re a small, profitable, early-stage company (bootstrapped, no VC) that is growing quickly. Our users love us and we have very high retention and rapid spread through word of mouth. As an early-stage hire, you’ll work across the stack and enjoy meaningful ownership from day one.
Tech we use: Node.js / TypeScript backend, Postgres, AWS, React. We’re also developing AI tooling, including LLM agents to help instructors create content, and vision-language models to help grade student work. PrairieLearn is open core: https://github.com/PrairieLearn/PrairieLearn
Details:
- Location: Remote (US only)
- Salary: $100k-$140k depending on experience
- Benefits: Stock options (0.5% - 1.5%), unlimited PTO, flexible hours
- Role: Full-time. (We’re not able to sponsor visas at this time.)
Apply at https://www.prairielearn.com/jobs-ashby?utm_source=YeEJ5MAKk...