Agentic Artificial Intelligence (AI) Engineer
Core
Design and deliver autonomous AI agents powered by LLMs for Rolls-Royce Power Systems' operations, ensuring traceability and compliance.
Role type
Agentic AI Engineer
Builds
Production-ready autonomous agents and multi-agent orchestration systems for enterprise operations
Domain
Industrial power systems, energy, and mobility
Deliverable
production ML models
Required skills
LLM integration, agent orchestration frameworks, Python, API and event integration, workflow orchestration, database access via ORM, container deployment
Preferred skills
Experience in regulated industries, side projects or community involvement
Technologies
Anthropic Claude, Azure OpenAI, Google Vertex AI, LangChain, AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, Python, Pydantic, pytest, REST APIs, OpenAPI, Azure Service Bus, Prefect, Temporal, Apache Airflow, SQLAlchemy, Django ORM, Entity Framework Core, Docker, Kubernetes, Model Context Protocol (MCP)
Responsibilities
Design autonomous agents where the LLM performs reasoning and routing; Implement agent tool interfaces as stateless data endpoints; Deliver production-ready agents within 4–6 week cycles; Design multi-agent systems with graduated autonomy protocols; Implement comprehensive audit trails for regulatory review; Integrate agents with enterprise systems via standard API contracts; Maintain agent health monitoring and detect drift
Seniority
Mid-Senior, hands-on IC
