Design and deliver agentic AI systems that operate across enterprise workflows.
Design and implement agent-based systems using LLMs, tools, memory, and planning (including orchestration and multi-step workflows).
Build and integrate agent workflows across enterprise systems via APIs and services with clear security, access control, and auditability boundaries.
Develop RAG pipelines where applicable to support agent reasoning.
Implement human-in-the-loop patterns for safety, review, escalation, and approval of high-impact actions.
Define and operationalize evaluation frameworks (accuracy, reliability, task success).
Own solutions from prototype through production deployment and monitoring and operational reliability.
Partner cross-functionally to deliver scalable, secure, and high-impact solutions.

Bachelor’s or Master’s in Computer Science, Data Science, or related field (or equivalent experience)
Strong programming experience (Python required)
Experience building LLM-based applications or workflow automation systems
Experience with agent frameworks (e.g., LangChain, Semantic Kernel)
Familiarity with RAG, vector databases, and evaluation techniques
Experience designing multi-step or tool-augmented workflows

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave

Agent Engineer – Agentic AI, LLM Systems

Key skills