Undisclosed

Founding Software Engineer (Fullstack/AI)

Founding Software Engineer (Fullstack/AI)
Notice info
LocationSan Francisco, 06
Job Typefull time
On-site
Oil and Gas

About This Job


Role Overview

Our client (small product squad (2 fullstack engineers + PM)) ships quickly, but customer demand is growing faster than they can build. They’re looking for a  senior, product‑minded engineer

 who can wear many hats — architecture, data, fine-tuning & RAG, with a bit of product taste — and help lay the technical and cultural foundations of the company.

This is a remote role, with the expectation to meet the Founder in California once a quarter (2–3 days in person).


What You’ll Do

Own features end‑to‑end

: design, build, ship, and iterate on backend services, web front‑end, and internal tooling.

Scale our Gen‑AI stack

: productionize retrieval‑augmented generation pipelines, implement evaluation harnesses, and harden monitoring/alerting.

Shape engineering culture

: introduce best‑in‑class CI/CD, code quality standards, security, and mentoring practices.

Collaborate

: work with product and sales to translate real patient pain points into elegant solutions.

Influence roadmap

: participate in product discovery, weigh technical trade‑offs, and keep us focused on what moves the needle.


Required Technical Skills

- Our core technologies

Python, Postgres, MySQL, NextJS, LangSmith, AWS.

 We're flexible—use the right tool for the job.

- 5+ years building and operating production software

- U.S. work authorization & residency required

- Proven experience shipping LLM or conversational‑AI products at scale (LLM‑APIs, vector stores, agent frameworks)

- Proficiency in 

Python

and modern 

JavaScript

- Familiarity with 

SQL

and schema design

- Comfort with

cloud infrastructure (AWS preferred)

 and infrastructure as code (IaC)

- Working knowledge of agents, vector search, embeddings, and RAG performance tuning

- Product taste: you sweat the UX details

- Good communication skills: you can explain complex trade‑offs to non‑engineers


Nice-to-Haves

- Prior healthcare experience

- Understanding of HIPAA, SOC‑2, or other security/compliance frameworks

- Performance and cost‑optimization of ML workloads

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