Senior AI Engineer
Core
Design and build cloud-native AI applications, agentic AI products, and knowledge infrastructure to solve high-upside pharma problems in R&D, Commercialization, and Manufacturing.
Role type
Senior AI Engineer (Agentic AI & Cloud-Native)
Builds
Cloud-native AI applications, agentic workflows, MCP servers, and reusable platform patterns for AWS.
Domain
Pharmaceutical R&D and Commercialization
Deliverable
production ML models | product features | infrastructure
Required skills
Python, FastAPI, TypeScript, Node.js, AWS, LLM integration, agentic AI frameworks (LangGraph, LangChain), containerization, CI/CD, Terraform, AWS CDK, secure AI patterns, AI coding agents
Preferred skills
MCP server development, multi-agent system orchestration, vector/graph database design, evaluation-driven development, semantic layers, sandboxed execution environments
Technologies
AWS, LangGraph, LangChain, PydanticAI, Claude Agent SDK, FastAPI, TypeScript, Node.js, Terraform, AWS CDK, LangSmith, promptfoo, Anthropic, OpenAI, Gemini, Grok, AWS Bedrock
Responsibilities
Design and deliver backend services integrating LLMs, retrieval systems, and workflow engines; Build and operate agentic applications with state management and tool use; Develop retrieval, memory, and context architectures using AWS-native services; Create CI/CD pipelines and infrastructure-as-code for cloud-native AI apps; Translate business problems into technical architectures and drive MVPs to production readiness.
Seniority
Senior, hands-on IC
