Agentic AI 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