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Full-Stack AI Engineer

MaxIT Consulting - Max Corporate Group

MaxIT Consulting - Max Corporate Group is building an AI-native operating system aimed at accelerating drug development, bringing applied AI workflows together with reliable data foundations. In this full-stack role, you will help design core backend services, develop LLM-powered search and ingestion pipelines, and deliver end-to-end customer features that connect outputs back to the underlying scientific and regulatory sources.

What you’ll do

  • Design and build backend services using Python , FastAPI , and Postgres .
  • Develop applied AI workflows leveraging the 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.

What you bring

  • 2+ years shipping production software end to end.
  • Strong backend fundamentals, including APIs , databases , and services .
  • Ability to work comfortably 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.

Technologies

  • Python , FastAPI , Postgres
  • OpenAI API , LangGraph , vector databases , search systems
  • React , TypeScript
  • LLMs , agents , RAG , Claude Code , Cursor

Nice to have

  • Production experience with LangGraph , agent frameworks, or RAG systems, plus familiarity with semantic search and knowledge graphs .
  • Experience in enterprise SaaS , healthcare , or life sciences products, including seed or early‑stage startup exposure.

Work arrangement and location

  • On‑site in Los Altos, CA (San Francisco Bay Area); fully remote is not possible.
  • Must live in or relocate to the Bay Area and be authorized to work in the United States .
  • Minimum experience: 2 years .
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Vacancy posted 7 hours ago
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