Qode
Role Overview
Our small product squad (2 fullstack engineers + PM) ships quickly, but customer demand is growing faster than we can build. We'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.
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
Our small product squad (2 fullstack engineers + PM) ships quickly, but customer demand is growing faster than we can build. We'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.
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