Senior AI Application Engineer
Core
Build scalable multi-agent systems and agentic workflows to automate complex business processes in the life sciences industry.
Role type
Senior IC AI Application Engineer (Agentic Systems)
Builds
Multi-agent architectures, agent orchestration frameworks, and secure tool-calling interfaces for internal databases and CRMs.
Domain
Life Sciences / Generative AI / Agentic Workflows
Deliverable
production ML models
Required skills
Python, TypeScript, Rust, MCP architectures, agentic design patterns (ReAct, Plan-and-Solve, Reflection, Tree of Thoughts), LLM APIs (OpenAI, Anthropic, Google Gemini), open-weights models (Llama 3, Mistral), vector and graph databases, RAG architectures (GraphRAG, hybrid search), cloud architecture (AWS, GCP, Azure), containerization (Docker/Kubernetes)
Preferred skills
Enterprise-scale multi-agent deployment, 3+ years in generative AI/LLMs/cognitive architectures
Technologies
Google ADK, LangGraph, CrewAI, Docker, Kubernetes, AWS, GCP, Azure
Responsibilities
Architect and implement scalable multi-agent systems; design secure tool-calling architectures; implement LLMOps/AgentOps best practices; mitigate AI-specific security risks (prompt injection, hallucination loops)
Seniority
Mid-Level, hands-on IC
