AI Agent Engineer
Core
Design, build, and operationalize AI-powered agents to automate and augment knowledge work, enhancing employee productivity and decision-making in complex enterprise environments.
Role type
Senior IC AI Agent Engineer
Builds
Production AI agents, workflows, and integrations with enterprise systems (e.g., M365, Glean)
Domain
Enterprise AI / Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Python, TypeScript/JavaScript, Java, LLM-based applications, LangChain, Semantic Kernel, Prompt engineering, Retrieval-augmented generation (RAG), RESTful APIs, Microservices, Serverless, Observability, Testing
Preferred skills
Glean platform integration, Microsoft 365 AI assistants (Copilot), Enterprise identity and access management (RBAC), Observability and telemetry for AI systems, A/B testing, User-centric design
Technologies
LangChain, Semantic Kernel, M365, Glean, Python, TypeScript, Java
Responsibilities
Design and develop AI agents and workflows; Translate business requirements into robust agent designs with tool orchestration and guardrails; Prototype and harden solutions for reliability and scalability; Integrate agents with enterprise systems, APIs, and data sources; Define and implement monitoring, logging, and feedback loops for agent performance; Collaborate with engineers, architects, and business SMEs; Champion responsible AI, security, and privacy considerations
Seniority
Senior, hands-on IC