AI Engineer
AI summary of the role
As a Member of Technical Staff on the AI Agents team, you will design, build, and scale core agent systems that power Bio Protocol's decentralized biotech platform.
What you’ll do
- Build agent capabilities for planning, tool use, memory, and context management, and ship them into production.
- Integrate agents with internal and external tools and data sources (retrieval systems, structured datasets, lab/biomed APIs, spreadsheets, search) with robust schemas and safeguards.
- Develop quality and evaluation systems including unit, regression, and scenario/benchmark tests, telemetry, and automated scoring.
- Implement safety measures, guardrails, and sandboxed execution for risky operations.
What you’ll bring
- Experience building production software in Python and/or TypeScript with strong systems and API design skills (FastAPI, gRPC, GraphQL, or similar).
- Proven experience shipping LLM applications or agentic systems (tool use/function calling, retrieval/RAG, structured outputs, evaluation, or observability).
- Familiarity with agent/orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, MCP) and vector databases (FAISS, Weaviate, Pinecone).
- Experience with cloud infrastructure and containers (AWS, GCP, or Azure), Docker/Kubernetes/Terraform, CI/CD, and production telemetry.
Technologies
Python · TypeScript · FastAPI · gRPC · GraphQL · LangChain · LangGraph · AutoGen · CrewAI · MCP · FAISS · Weaviate
About BIO Protocol
Builds a decentralized biotech platform where research communities use launchpads, AI agents, and commerce rails to fund, validate, and commercialize early-stage science.
Seed
Source and classification
Deployment team leadership · Evidence for this classification:
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. Since 2023, Bio has directed over $50m to global researchers, offering an alternative to traditional pharma funding. Backed by investors like Binance Labs, Northpond Ventures, and Animoca Brands, Bio accelerates real-world therapeutics across longevity, brain health, fertility, psychedelic science, and more. Why this role exists As a Member of Technical Staff on the AI Agents team, you’ll design, build, and scale the core agent systems that power Bio Protocol’s products. You’ll work closely with full-stack engineers and scientist-evaluators to create agents that can plan, use tools, and reason safely. This role offers the opportunity to shape the foundation of how AI
More from the job description
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. Since 2023, Bio has directed over $50m to global researchers, offering an alternative to traditional pharma funding. Backed by investors like Binance Labs, Northpond Ventures, and Animoca Brands, Bio accelerates real-world therapeutics across longevity, brain health, fertility, psychedelic science, and more. Why this role exists As a Member of Technical Staff on the AI Agents team, you’ll design, build, and scale the core agent systems that power Bio Protocol’s products. You’ll work closely with full-stack engineers and scientist-evaluators to create agents that can plan, use tools, and reason safely. This role offers the opportunity to shape the foundation of how AI collaborates with human scientists - combining technical depth with real-world scientific impact. While technical skills matter, we believe drive and cultural fit matter most. If you're passionate about shipping impactful work and excited by our mission, we encourage you to apply - even if you don't check every single box. What you’ll do Build agent capabilities for planning, tool use, memory, and context management, and ship them into production. Integrate agents with internal and external too [... source excerpt omitted ...] r latency, task success, tool-call reliability, and uptime. Increased coverage of regression and evaluation scenarios. Broader adoption of the agent platform by internal teams. Qualifications Experience building production software in Python and/or TypeScript, with strong systems and API design skills (FastAPI, gRPC, GraphQL, or similar). Proven experience shipping LLM applications or agentic systems (tool use/function calling, retrieval/RAG, structured outputs, evaluation, or observability). Familiarity with agent/orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, MCP) and vector databases (FAISS, Weaviate, Pinecone). Experience with cloud infrastructure and
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