Agentic Engineer I

Nexteer Automotive Corporation•Pontiac, MI

4d•Hybrid

About The Position

At Nexteer, our strength lies in the diversity of our team—each member contributing unique backgrounds, experiences, and aspirations. We believe this diversity fuels our innovation, broadens our perspectives, and propels our collective growth. For over a century, we’ve been innovators in the automotive industry. Our vision is clear - we are a global leading motion control technology company accelerating mobility to be safe, green and exciting. Our unwavering commitment to Quality, Collaboration, Integrity, and Accountability guides us as we solve motion control challenges for our global customers. If you’re ready to join a dynamic team that drives change and makes a difference, Nexteer welcomes you! About the Role: Are you fascinated by the power of AI agents to transform how engineering teams work? Do you thrive in a high-velocity environment where you can build, test, and iterate on wild ideas in days rather than months? We are looking for AI Agentic Development Engineers to join and build a new Applied AI team. In this role, you won't just be maintaining legacy systems, you will be the ultimate accelerator for our cross-functional engineering teams. Your mission is to design, develop, and deploy rapid prototypes of AI-driven tools and agentic workflows that automate complex tasks, eliminate friction, and radically optimize our engineering processes. We operate on a philosophy of learning fast, failing fast, and delivering faster. If you are a bias-for-action developer who thinks outside the box and measures success by working code and measurable efficiency gains, we want you to be on our team. This is an individual contributor role and the selected candidate will have the opportunity to work a hybrid schedule.

Requirements

1+ years of related experience (or equivalent hands-on projects)
Familiarity with AI tools and large language models (like ChatGPT or similar) and how they can be used in applications
Working knowledge of programming languages such as Python or TypeScript
Some experience connecting systems using APIs or web tools (for example, integrating with tools like Slack, GitHub, or Jira)
Basic understanding of how data is used in AI solutions, including concepts like prompts, embeddings, or search-based responses
Exposure to automation tools or platforms (such as workflow builders or similar technologies )
Strong problem solving/analytical skills, where problems are complex
Excellent oral & written communication skills
Strong interpersonal skills
Conflict resolution & risk escalation skills
Demonstrated leadership potential or experience working in a team environment
General understanding of how products are developed from idea to release
Awareness of technical & commercial aspects

Nice To Haves

Navigate ambiguity to make decisions and deliver completed work, maintaining momentum even when conditions are not fully defined.
Take initiative to begin work with partial information, iterating and refining requirements as insights evolve.
You're naturally curious and self-directed — you build things because you want to understand how they work, not just because it's on a task list.
You've containerized, self-hosted, and deployed real projects. You've seen something work perfectly in a local environment and behave differently in production — and that experience has made you a better engineer.
The clearest signal: you have something running somewhere that isn't your own machine. You stay current with AI tools by using them, not just reading about them.
We're more interested in what you've built than what's on your resume. Share something you've deployed — a repository, a live URL, or a brief walkthrough. Tell us what didn't go as planned and what you took away from it.

Responsibilities

Help design and build simple prototypes (early versions) of AI-powered tools and automation solutions
Partner closely with Product Engineering teams to deeply understand their workflows, identify bottlenecks, and embed AI solutions where they matter most.
Use AI tools and frameworks (like ChatGPT-style models or similar platforms) to create helpful workflows and automate everyday tasks
Help improve and streamline engineering processes by identifying inefficiencies and suggesting solutions
Participate in testing new ideas by quickly building, trying, and improving prototypes
Embrace a fail-fast approach — short cycles, quick learning, and moving on with better information
Support the setup and deployment of tools, including helping manage environments where solutions run
Evaluate tools and models through hands-on use, not benchmarks alone
Help identify what scales and what doesn't based on real-world deployment behavior
Document validated patterns that contribute to the team's shared AI use case library
Think in terms of scale: how do I share my work, knowledge, and practices with others so they can join the mission