AI Agentic Engineer

Job Title: AI Agentic Engineer

Location: Minneapolis, MN (Day 1 Onsite)

Job Type: Contract

Experience: Mid to Senior level
Job Overview

Our client is seeking an AI Agentic Engineer to design and build intelligent agent systems using large language models (LLMs). The role focuses on agentic workflows, execution harnesses, and context-driven AI systems, with a strong emphasis on 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 including RAG, memory management, and prompt strategies
• Implement AI solutions across SDLC workflows such as code generation, testing, and PR review
• Develop backend services and APIs for agent systems using Python/FastAPI or TypeScript
• Integrate LLMs, vector databases, and enterprise systems
• Handle orchestration, reliability, and scalability of agent infrastructure
• Deploy solutions on cloud platforms (AWS preferred)
• Ensure monitoring, logging, and performance optimization across deployed systems

Required Skills

• Strong Python (backend) or TypeScript development experience
• Hands-on experience with LLMs: OpenAI, Azure OpenAI, or Claude
• Proficiency with LangChain, LangGraph, or similar agentic frameworks
• Experience with Semantic Kernel
• Knowledge of RAG and vector databases
• Backend API development using FastAPI or equivalent
• Cloud deployment experience, preferably AWS

Preferred Skills

• Experience with SDLC automation and AI-assisted code generation or review
• Familiarity with observability tools for LLM systems

Location & Work Model

Minneapolis, MN - Day 1 Onsite
Engagement Details

Contract engagement. Immediate sourcing in progress - apply with your updated resume and availability.