Senior AI Engineer (Full Stack)
Core
Design, evaluate, and operate production-grade AI systems using foundation models and LLMs to deliver functional applications in life sciences.
Role type
Senior IC full-stack AI engineer (GenAI/LLM)
Builds
End-to-end LLM-powered applications, RAG systems, and agent workflows for life sciences diagnostics
Domain
Life sciences, diagnostics, and biotechnology
Deliverable
production ML models | product features
Required skills
TypeScript, Python, backend and API development, GenAI systems (RAG, prompt engineering, LLM integration, agentic workflows), cloud infrastructure, containerization, CI/CD, machine learning fundamentals, system reliability and scalability
Preferred skills
LangGraph, LangChain, PocketFlow, monorepo technologies (nx, lerna), multi-application deployment pipelines
Technologies
TypeScript, Python, RAG, LLM APIs, containerization, CI/CD, LangGraph, LangChain, PocketFlow, nx, lerna
Responsibilities
Design and deliver end-to-end LLM-powered applications including RAG systems and agent workflows; Transform prototypes into reliable, scalable production services with deployment, monitoring, and failure handling; Integrate and operate external model APIs managing latency, cost, and reliability; Build and operate data pipelines for retrieval, evaluation, and fine-tuning workflows; Establish evaluation, monitoring, and guardrails to ensure performance, quality, and safety
Seniority
Senior, hands-on IC