AI Engineer

About the Company

Bio is a decentralized science protocol that helps launch and grow AI-driven biotech research. It enables scientists to raise funds, create value from their work, and distribute that value directly to their communities. Backed by investors like Binance Labs, Northpond Ventures, and Animoca Brands, Bio accelerates real-world therapeutics across longevity, brain health, fertility, and more.

Responsibilities

• Build agent capabilities for planning, tool use, memory, and context management for production use
• Integrate agents with internal and external tools, data sources, and lab/biomed APIs
• Develop quality and evaluation systems, including unit, regression, and benchmark tests
• Collaborate with scientists to analyze failure modes and improve performance
• Implement safety measures, guardrails, and sandboxed execution for risky operations
• Optimize performance through profiling, idempotency, retries, and rate limiting
• Instrument data pipelines for supervised fine-tuning and reinforcement learning
• Contribute to the agent platform, including services, APIs, orchestration, and CI/CD

Requirements

• Experience building production software in Python and/or TypeScript
• Strong systems and API design skills (FastAPI, gRPC, GraphQL, or similar)
• Proven experience shipping LLM applications or agentic systems (RAG, tool use, or observability)
• Familiarity with agent frameworks (LangChain, LangGraph, AutoGen, or CrewAI)
• Experience with vector databases (FAISS, Weaviate, or Pinecone)
• Experience with cloud infrastructure and containers (AWS, GCP, or Azure, Docker, Kubernetes)
• Ability to translate research prototypes into robust, scalable systems

Preferred Qualifications

• Experience with fine-tuning and reinforcement learning (RL, RLAIF, RLHF)
• Familiarity with benchmarks such as SWE-Bench, OS-World, or tau-bench
• Knowledge of retrieval and knowledge systems, including schema and ontology design
• Background in agentic system safety and security
• Exposure to life sciences or scientific computing