Full Stack Engineer, Applied AI – AI Platform for Life Sciences

MaxIT Consulting - Max Corporate Group; Los Altos (CA); On-site; USD 130,000 - 190,000; Full time

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

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.