Full-Stack AI Engineer for Life Sciences - Bay Area On-site

MaxIT Consulting - Max Corporate Group

Los Altos (CA)

Sur place

USD 120 000 - 180 000

Plein temps

Il y a 3 jours
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Résumé du poste

MaxIT Consulting - Max Corporate Group is building an AI-native operating system to accelerate drug development. This full-stack role focuses on backend services, LLM-powered search and ingestion, and delivering customer features that connect outputs to scientific and regulatory sources.

You will work with founders and early customers, shaping architecture and data foundations while delivering end-to-end capabilities across the stack.

Qualifications

  • 2+ years shipping production software end to end.
  • Strong backend fundamentals, including APIs, databases, and services.
  • Ability to work across the stack with React and TypeScript.
  • Hands-on production experience with LLMs, agents, RAG, or vector databases.
  • A fast, accountable build style, using AI coding tools such as Claude Code and Cursor on a daily basis.

Responsabilités

  • Design and build backend services using Python, FastAPI, and Postgres.
  • Develop applied AI workflows leveraging OpenAI API, LangGraph, vector databases, and search systems.
  • Create ingestion, indexing, and search pipelines for scientific and regulatory documents.
  • Build customer-facing capabilities end to end, covering the data model and APIs through to the React/TypeScript frontend.
  • Ground AI outputs in source material with traceable, verifiable citations.
  • Work closely with founders, domain experts, and early customers while taking ownership of outcomes.

Connaissances

2+ years experience
APIs
Databases
Services
React
TypeScript
LLMs
Agents
RAG
Vector databases
OpenAI API
LangGraph
Claude Code
Cursor

Outils

Python
FastAPI
Postgres

Description du poste

MaxIT Consulting - Max Corporate Group is building an AI-native operating system to accelerate drug development. This full-stack role focuses on backend services, LLM-powered search and ingestion, and delivering customer features that connect outputs to scientific and regulatory sources.

You will work with founders and early customers, shaping architecture and data foundations while delivering end-to-end capabilities across the stack.

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