Applied AI Full-Stack Engineer: Python, React & LLM

MaxIT Consulting - Max Corporate Group

Los Altos (CA)

On-site

USD 140,000 - 180,000

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, early-stage AI company building an AI-native operating system for drug development programs.

You will work across the stack—from backend Python, FastAPI and Postgres to the React/TypeScript frontend—and develop applied AI workflows with the OpenAI API, LangGraph, and vector databases, collaborating directly with founders and early customers in the San Francisco Bay Area.

Qualifications

  • 2+ years shipping production software end to end.
  • APIs, databases and services experience.
  • Frontend with React and TypeScript.
  • Hands-on production experience with LLMs, agents, RAG or vector databases.
  • Daily use of AI coding tools (Claude Code, Cursor).

Responsibilities

  • Design and build backend services with Python, FastAPI and Postgres.
  • Develop applied AI workflows using OpenAI API, LangGraph, and vector stores.
  • Create ingestion, indexing and search pipelines for scientific documents.
  • Build customer-facing features from API to React/TypeScript frontend.
  • Anchor AI outputs to source data with traceable citations.
  • Collaborate with founders, domain experts and early customers to own outcomes.

Skills

Backend APIs
Databases
React/TypeScript
LLMs / AI workflows
AI coding tools

Tools

PostgreSQL
FastAPI
OpenAI API
LangGraph
Vector databases
React
TypeScript

Job description

MaxIT Consulting is seeking a Full Stack Engineer, Applied AI to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs.

You will work across the stack—from backend Python, FastAPI and Postgres to the React/TypeScript frontend—and develop applied AI workflows with the OpenAI API, LangGraph, and vector databases, collaborating directly with founders and early customers in the San Francisco Bay Area.

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