Applied AI Engineer – Agentic Workflows
Core
Design, build, and deploy production-grade AI agents and agentic workflows for enterprise customers using Large Language Models (LLMs).
Role type
Senior Applied AI Engineer (Agentic Workflows)
Builds
Production-grade AI agents, agentic workflows, and shared frameworks for enterprise customers
Domain
Enterprise AI, Agentic Systems, LLM Orchestration
Deliverable
production ML models | product features
Required skills
Python/TypeScript production engineering, Agentic Architectures (ReAct, Plan-and-Execute), Frontier Models (GPT, Claude, Gemini), RAG, Vector databases (Pinecone, Weaviate), Orchestration frameworks (LangGraph, CrewAI), Rigorous Evaluation frameworks
Preferred skills
Experience mentoring distributed teams, Stakeholder Mastery with enterprise customers
Technologies
Python, TypeScript, GPT, Claude, Gemini, Pinecone, Weaviate, LangGraph, CrewAI
Responsibilities
Translate ambiguous business problems into well-framed agentic problems with clear success criteria, Lead design and delivery of LLM-powered agents that reason, plan, and act across tools, Define and apply evaluation and quality standards to measure agent success, Debug real-world agent behavior and improve prompts/workflows/guardrails, Mentor engineers across distributed teams
Seniority
Senior, hands-on IC with leadership responsibilities
