Agent Engineer (Agentic AI / LLM Systems)

The Opportunity

We are seeking an Agent Engineer to help build the next generation of AI-powered workflows and intelligent systems. You will design and deploy agentic solutions that can reason, plan, and take action across enterprise tools—unlocking new levels of automation and productivity.

Role Summary

Design and deliver agentic AI systems that operate across enterprise workflows. This role focuses on building autonomous and semi-autonomous systems using LLMs, including tool orchestration, memory, and multi-step decisioning.

What You’ll Do

• 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
• Develop RAG pipelines where applicable to support agent reasoning
• Implement human-in-the-loop patterns for safety, review, and escalation
• Define and operationalize evaluation frameworks (accuracy, reliability, task success)
• Own solutions from prototype through production deployment and monitoring
• Partner cross-functionally to deliver scalable, secure, and high-impact solutions

Qualifications

Required:

• 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

Preferred:

• 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

Core Competencies

• Agentic System Design
• Applied Generative AI
• Workflow Orchestration
• Evaluation & Reliability
• Software Engineering Excellence
• Cross-Functional Collaboration