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Agentic AI Engineer We're seeking an exceptional Agentic AI Engineer to build and scale production AI systems for our portfolio of Series A–C companies. You'll work on cutting-edge AI infrastructure, ship features that directly impact product velocity, and help define what great AI engineering looks like in a growth-stage context.
What you'll do. 🤖 Design and build autonomous AI agents with function calling, planning, and multi-step reasoning 🔧 Implement agentic workflows using LangChain, LlamaIndex, CrewAI, AutoGPT, or custom frameworks 🛠️ Build action spaces, tool registries, and secure execution environments for agent systems 🧠 Architect memory systems (episodic, semantic, procedural) for stateful, context-aware agents ⚙️ Implement agent orchestration, error recovery, retry logic, and safety guardrails 📊 Monitor agent behavior, token costs, latency, and reliability in production What we're looking for. Requirements 3+ years of production experience building and shipping AI/ML systems (or 5+ for senior roles) Strong programming skills in Python and experience with modern AI frameworks (PyTorch, TensorFlow, JAX) Deep understanding of LLMs, transformers, and the latest AI research Production experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes) Strong systems thinking — you understand trade-offs between accuracy, latency, cost, and reliability Growth-stage experience preferred — you thrive in fast-moving, ambiguous environments Nice to have Open-source contributions or published research in AI/ML Experience working at an AI-first company or research lab Familiarity with the latest AI tools, frameworks, and models Strong writing and documentation skills Experience mentoring or leading junior team members 🛠️ Tech stack. Python, TypeScript
LangChain, LangGraph, LlamaIndex, CrewAI, AutoGPT
OpenAI Assistants API, Claude, Gemini
Function calling, Tool use, MCP (Model Context Protocol)
Redis, PostgreSQL for memory/state
Docker, Kubernetes
FastAPI, Celery, RabbitMQ
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