Applied AI Full-Stack Engineer for Pharma Tech

Cheiron; Los Altos; On-site; EUR 106,000 - 160,000; Full time

Benefits offered by this job

401(K) retirement plan

Health insurances (Medical/Dental/Visa

Meal allowance (Lunch, Dinner)

Transportation support

In-office snack bar

Job summary

Cheiron, headquartered in Los Altos, CA, is seeking a Full Stack Engineer, Applied AI to help build its core product and infrastructure. This role spans backend systems, AI workflows, RAG and search pipelines, APIs, and the customer-facing product itself.

You'll craft end-to-end features across the stack, grounding AI outputs with verifiable citations for pharma data and shipping in real customer environments. Strong engineering fundamentals and hands-on experience with LLM systems are essential.

Qualifications

• 2+ years of experience shipping production software end to end.
• Strong backend engineering fundamentals and experience designing APIs, databases, and services.
• Hands-on production experience with AI-driven systems such as LLMs, agents, RAG, and vector DBs.

Responsibilities

• Design and build backend services on Python, FastAPI, and Postgres.
• Build applied AI workflows using the OpenAI API, LangGraph, vector DBs, and search systems.
• Develop ingestion, indexing, and search pipelines for life sciences data, including academic papers, clinical, regulatory, safety, and patent sources.
• Build customer-facing features end to end, from the data model to the API to the React/TypeScript frontend.
• Build systems that ground AI-generated outputs in source data with traceable, verifiable citations so they can be trusted in real pharma and biotech work.
• Work directly with founders, domain experts, and early customers, owning outcomes rather than just closing tickets.

Skills

Backend engineering

APIs

AI-driven systems

React

TypeScript

Python

FastAPI

Postgres

LLM workflows

RAG

Tools

OpenAI API

LangGraph

vector DBs

React

TypeScript

Python

Job description

Cheiron, headquartered in Los Altos, CA, is seeking a Full Stack Engineer, Applied AI to help build its core product and infrastructure. This role spans backend systems, AI workflows, RAG and search pipelines, APIs, and the customer-facing product itself.

You'll craft end-to-end features across the stack, grounding AI outputs with verifiable citations for pharma data and shipping in real customer environments. Strong engineering fundamentals and hands-on experience with LLM systems are essential.