Applied AI Full-Stack Engineer – Life Sciences Platform

MaxIT Consulting - Max Corporate Group

Los Altos (CA)

On-site

USD 130,000 - 190,000

Full time

3 days ago
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Job summary

MaxIT Consulting is seeking a Full Stack Engineer, Applied AI to join a venture-backed AI company in Los Altos, CA. The role spans backend services, AI workflows, and a customer-facing product, with fast iteration and hands-on coding.

You will work with OpenAI API, LangGraph, vector databases, and React/TypeScript frontend, shipping end-to-end features and grounding AI outputs in source data. On-site collaboration with founders and early customers is expected.

Qualifications

  • 2+ years shipping production software end to end.
  • Strong backend fundamentals: APIs, databases and services.
  • Comfortable through the frontend with React and TypeScript.
  • Hands‑on production experience with LLMs, agents, RAG or vector databases.
  • Fast, accountable builder who uses AI coding tools daily.

Responsibilities

  • Design and build backend services on Python, FastAPI and Postgres.
  • Build applied AI workflows with the OpenAI API, LangGraph, vector databases and search systems.
  • Develop ingestion, indexing and search pipelines for scientific and regulatory documents.
  • Build customer-facing features end to end, from data model and API to the React/TypeScript frontend.
  • Ground AI outputs in source data with traceable, verifiable citations.
  • Work directly with founders, domain experts and early customers, owning outcomes.

Skills

Backend development
Frontend (React/TS)
LLMs & vector DBs
AI coding tools

Tools

LangGraph
RAG
vector databases

Job description

MaxIT Consulting is seeking a Full Stack Engineer, Applied AI to join a venture-backed AI company in Los Altos, CA. The role spans backend services, AI workflows, and a customer-facing product, with fast iteration and hands-on coding.

You will work with OpenAI API, LangGraph, vector databases, and React/TypeScript frontend, shipping end-to-end features and grounding AI outputs in source data. On-site collaboration with founders and early customers is expected.

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