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Qode

Qode

via Workable

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Full Stack Engineer

Anywhere
full-time
Posted 8/26/2025
Direct Apply
Key Skills:
Python
JavaScript
Postgres
MySQL
NextJS
AWS
LLM APIs
Vector stores
RAG performance tuning

Compensation

Salary Range

$120K - 160K a year

Responsibilities

Design, build, ship, and iterate on backend services, web front-end, and internal tooling while scaling Gen-AI stack and shaping engineering culture.

Requirements

5+ years production software experience, proficiency in Python and modern JavaScript, cloud infrastructure knowledge, and experience with LLM or conversational AI products.

Full Description

Role OverviewOur 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

This job posting was last updated on 8/28/2025

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