LandOfferFull Stack Engineer, Applied AI – AI Platform for Life Sciences
Job details
- Work mode
- Remote
- Employment
- Full-time
- Level
- Entry level
- Experience
- 2+ years
- Posted
- Nov 11, 2026
- Last confirmed open
- Nov 11, 2026
- Job function
- Software/Internet/AI › Backend Engineering › Full Stack Engineer
About this role
Los Altos, CA (San Francisco Bay Area) | On-site | Full-time
MaxIT Consulting is looking for 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, already used by leading biopharma companies.
The Opportunity
-------------------
This role spans the whole stack: backend services, applied AI workflows, search pipelines and the customer-facing product. Pilot customers ask for a feature and see it working days later.
Key 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.
Required 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 (Claude Code, Cursor) daily.
Nice to Have
----------------
- LangGraph, agent frameworks or RAG systems in production; semantic search and knowledge graphs.
- Enterprise SaaS, healthcare or life sciences products; seed or early-stage startup experience.
Work Arrangement
--------------------
On-site role in Los Altos, CA (San Francisco Bay Area); fully remote is not possible. Candidates must live in or relocate to the Bay Area and must already be authorized to work in the United States.
HOW TO APPLY
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Apply through this same channel with your updated resume and your expected gross annual base salary in USD.