Full-Stack AI Engineer

MaxIT Consulting - Max Corporate Group; Los Altos (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

2+ years experience

APIs

Databases

Services

React

TypeScript

LLMs

Agents

RAG

Vector databases

OpenAI API

LangGraph

Claude Code

Cursor

Tools

Python

FastAPI

Postgres

Job description

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.