Agentic AI Software Engineer

Insight Global
Dearborn, MI, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

LangGraph Framework Application Programming Interfaces (APIs) Artificial Intelligence BigQuery Continuous Integration DevOps Python (Programming Language) Systems Development Life Cycle Standard Sql Software Deployment Software Engineering Retrieval-Augmented Generation
+12 more
Flask (Web Framework) Large Language Models Multi-Agent Systems Llamaindex Agentic-AI Fastapi Kubernetes Information Technology CrewAI Evaluation of Large Language Models Human in the Loop Docker

Job description

Role Overview This engineer will help IG’s automotive client build and productionize Agentic AI solutions supporting the end-to-end software development pipeline for in-vehicle systems, including Battery Control Module-related development. The focus is on building multi-agent systems, automating engineering workflows, optimizing agent context, and launching and managing agents in production. Day-to-Day * Develop Agentic AI solutions supporting in-vehicle software development * Help automate the end-to-end software development pipeline using AI agents * Build and orchestrate multi-agent workflows * Launch, run, monitor, and manage agents in production * Optimize agent context, RAG pipelines, and LLM performance * Build supporting Python services and APIs * Deploy and maintain AI applications within GCP * Establish CI/CD, testing, observability, and production standards * Partner with engineering teams supporting Battery Control Modules and battery testing Move AI prototypes into scalable, production-ready solutions

Requirements

Must Haves * Education: Bachelor’s degree in Computer Science * Software Engineering: Strong production Python development, APIs (FastAPI/Flask), and SQL * Agentic AI: Hands-on experience building and deploying production AI agents, including multi-agent orchestration with LangGraph, CrewAI, LlamaIndex, or similar * GenAI / RAG: RAG implementation, context optimization, LLM evaluation, observability, and guardrails * GCP: Vertex AI and BigQuery DevOps / Production: Docker, Kubernetes, CI/CD, and production deployment experience Plusses * Education: Master’s degree in Computer Science or related technical field * Automotive: In-vehicle software, battery systems/testing, or Battery Control Module experience * Advanced Agentic AI: MCP, human-in-the-loop workflows, and model routing/cost optimization * AI + SDLC: Experience applying AI agents to software development lifecycle automation

Benefits & conditions

Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages while on contract for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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