Job Description Role OverviewThis 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 testingMove AI prototypes into scalable, production-ready solutionsExact 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. Skills and 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

• Gen

AI / RAG

RAG implementation, context optimization, LLM evaluation, observability, and guardrails

GCP:

Vertex AI and BigQueryDevOps /

Production:

Docker, Kubernetes, CI/CD, and production deployment experiencePlusses

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 We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.