AI Engineer

About this role

Join Bio Protocol's AI Agents team to design and scale intelligent agent systems that support decentralized biotech research. You'll build production-grade AI agents capable of planning, tool use, and reasoning while collaborating with scientists and engineers to create real-world impact in drug discovery and longevity research.

What you'll do

• Design and ship agent capabilities for planning, tool integration, memory management, and context handling
• Integrate agents with internal/external APIs, knowledge bases, and scientific datasets with robust safety measures
• Develop comprehensive testing, evaluation systems, and telemetry for agent performance monitoring
• Collaborate with scientists to analyze failure modes and iteratively improve agent reasoning
• Implement safety guardrails, sandboxed execution, and provenance tracking for scientific outputs
• Optimize system reliability through profiling, error handling, rate limiting, and observability instrumentation

What they're looking for

• Production Python and/or TypeScript development with strong systems design
• LLM application and agentic systems experience (tool use, RAG, structured outputs, evaluation)
• Agent frameworks (LangChain, LangGraph, AutoGen) and vector databases
• Cloud infrastructure (AWS, GCP, Azure), Kubernetes, Docker, CI/CD, and monitoring
• API design (FastAPI, gRPC, GraphQL) and system architecture
• Fine-tuning and reinforcement learning (preferred)
• Knowledge systems and ontology design (preferred)
• System safety and sandboxing practices (preferred)