Senior AI Application Engineer

full time · Senior

$137,530 – $183,319

Listed on Bristol Myers Squibb’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role builds cloud-hosted AI applications and agent systems for pharmaceutical research and operations at Bristol Myers Squibb, using AWS services and modern LLM frameworks. It's suited to experienced backend engineers who want to work hands-on with cutting-edge AI technology on problems that directly impact drug discovery and development.

Our summary, not Bristol Myers Squibb’s wording. The full posting is on their site.

Skills this role names

Log in to see which of these are already on your profile.

What they ask for

Required

Bachelor's degree in Computer Science, Engineering, or related field
5+ years of software engineering, cloud engineering, platform engineering, or backend application development
Hands-on experience building cloud-native applications on AWS
Strong proficiency in Python, FastAPI, TypeScript/Node, or comparable backend frameworks
Experience with containers, CI/CD, GitHub workflows, automated testing, and infrastructure-as-code
Experience building LLM, RAG, or agentic AI applications using frameworks like LangGraph or LangChain
Familiarity with MCP/FastMCP, read-write-search APIs, vector databases, and knowledge graphs
Experience with SQL, semantic layers, and data warehouse context
Experience building sandboxed execution, data branching, provenance, and access-control patterns
Practical experience integrating with frontier LLM model providers

Nice to have

Familiarity with permissioned markdown/YAML stores
Experience with session/state management and structured output validation
Experience translating LLM-derived meaning into governed data layers
Effective use of coding agents or AI-assisted development tools like Claude Code or GitHub Copilot