Candidates can attend the in-person interview at any of the locations below. However, the actual work location will be Minneapolis, MN.

• Charlotte, North Carolina (NC)
• Milpitas, CA
• Minneapolis, Minnesota (MN)
• New Jersey

Job Role: AI Agentic Engineer

Location: Minneapolis MN (onsite) Need Locals F2F Interview

Required Skills : Strong Python (backend) or Typescript with LLMs (OpenAI / Azure OpenAI / Claude) Hands-on with LangChain / LangGraph / etc Semantic Kernel Knowledge of RAG and vector databases

Role Summary

We are seeking an AI Agentic Engineer to design and build intelligent agent systems using LLMs. The role focuses on agentic workflows, execution harnesses, and context-driven AI systems, along with building end-to-end applications for real-world use, especially in SDLC automation. 

Key Responsibilities 

• Build AI agents using agentic loop patterns (plan → act → observe → improve) 
• Develop execution harnesses to integrate agents with APIs, tools, and enterprise systems 
• Design context pipelines (RAG, memory, prompt strategies) 
• Implement AI solutions across SDLC workflows (code generation, testing, PR review) 

 Backend 

• Develop backend services and APIs for agent systems (Python / FastAPI/ Typescript) 
• Integrate LLMs, vector databases, and enterprise systems 
• Handle orchestration, reliability, and scalability 

 Cloud:

• Deploy solutions on cloud platforms (AWS preferred) 

Observability:

• Ensure monitoring, logging, and performance optimization