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Agentic Engineer - Build, Experiment & Ship

Position: Agentic Engineer I- Multi-Agent Systems: Build, Connect & Ship 

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:

We're looking for an Agentic Engineer whose core craft is building agents - lots of them, fast. Not one chatbot over a document store: production agent systems that call enterprise tools, hand work to each other, and run where real users depend on them. You'll move quickly, iterate often, and own your work end to end. 

 Your job is to build on that platform and be fluent in its language: your agents register a manifest, call models and tools through gateways, and emit standard telemetry. The platform makes the plumbing disappear so you can ship agents at a pace that would be impossible if every project solved auth, deployment, and monitoring from scratch. 

The fast lane agentic project team mission is to enable a digital and AI-enabled engineering workflow and organization. The fast lane team assignment is targeted to be 18 months as an Agentic-first project team, and then full-time deployment into the engineering organization. 

This is an individual contributor role and the selected candidate will have the opportunity to work a hybrid schedule.

 What We're Looking For 

You're naturally curious and self-directed - you build things because you want to understand how they work. You've containerized, self-hosted, and deployed real projects, and you've watched something behave differently in production than it did locally - and that made you a better engineer. 

The clearest signal: you have agents that talk to each other and to tools, running somewhere that isn't your own machine - and ideally an MCP server that someone other than you depends on. You stay current with agent tooling by using it, not just reading about it. 

Key Responsibilities

As an Agentic Engineer I, you will be responsible to:

• Assist with the design, build, and ship production AI agents - many of them - across frameworks (Claude Agent SDK, Microsoft Agent Framework, LangGraph, or custom harnesses) 

• Assist with the build MCP servers that connect agents to enterprise systems (PLM, MES, ALM, data platform) - business logic only; the platform handles auth, deployment, and registration 

• Assist with the design multi-agent workflows: orchestration, handoffs, and agent-to-agent communication patterns - deciding when one agent should be five, and when five should be one 

• Assist with the build of both the agent and the harness - the agent (model, instructions, tools, memory) and the harness it runs in (the loop: tool dispatch, context management, retries, state). Know when an off-the-shelf harness like the Claude Agent SDK loop is enough, and when the job calls for a custom one 

• Assist with and run rapid experiments: hypothesis  prototype deploy evaluate iterate - with evals that tell you whether an agent got better 

• Embrace a fail-fast approach - short cycles, quick learning, and moving on with better information 

• Evaluate agent frameworks, models, and tools through hands-on use, not benchmarks alone 

• Document validated agent, skills and MCP patterns that contribute to the team's shared use case library - think in terms of scale: how do others reuse what you built 

Technical Expectations

• 1+ years of relevant experience in software development, AI applications, or related projects
• Exposure to AI agents or LLM-powered applications through coursework, internships, personal projects, or professional experience
• Experience with agent frameworks or SDKs such as LangGraph, Microsoft Agent Framework, Claude Agent SDK, or similar tools
• Familiarity with MCP concepts and interest in building integrations and tools for AI agents
• Understanding of agent architectures and ability to learn and work with different agent frameworks and development approaches
• Working knowledge of Python or JavaScript/TypeScript
• Experience with APIs, integrations, and LLM platforms
• Basic familiarity with Docker, containers, and cloud deployment concepts
• Exposure to testing, evaluation, or performance measurement of software solutions
• Interest in AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor

Strong Plus

• RAG / vector search - useful as one component inside an agent, not the center of gravity 

• OpenTelemetry / observability instrumentation for LLM apps 

• Identity literacy - agent vs. user identity, OAuth on-behalf-of, scoped tokens  

• Workflow automation (n8n / Power Automate) 

• Local models (e.g. Ollama) self-hosted infra  

The Platform You'll Build On

You'll work alongside the platform team and help develop it. That means the vocabulary of a governed agent platform should already make sense to you - or you should be excited to learn it in week one: model gateway, MCP gateway and catalog, agent manifest, entitlement vs. data authorization, telemetry traces, drift detection, kill switch.  

Business Context- The 10%

Strong technical skills are the foundation, but the ability to engage with business stakeholders matters too. You should be comfortable walking into a conversation with a process owner, understanding their actual problem, and communicating what you've built in plain language. Prior exposure to how business operations work - even in a non-technical capacity - is a genuine advantage. 

Education Requirements

• Bachelors degree in Computer Engineering, Computer Science, Electrical Engineering, Artificial Intelligence, Information Technology, Software Engineering, Data Science, Data Analytics, Information Systems, Information Science or Machine Learning required

Nexteer is an Equal Opportunity Employer Disabled/Minorities/Veterans/Women

Nexteer is an E-Verify employer. E-Verify is an internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employees to electronically verify the employment eligibility of their newly hired employees in the United States.

Accessibility for Applicants with Disabilities: If you need a reasonable accommodation for the online application process due to a disability, please email careers@nexteer.com. Please provide your contact information and details about the posted position of interest. Only inquiries regarding assistance for those who need an accommodation with the online application process due to a disability will be returned.

About Nexteer

Nexteer Automotive is a global leader in advanced steering and motion control systems, enabling intuitive, safe, and comfortable mobility for drivers around the world. Our innovative product portfolio includes Electric Power Steering (EPS), Steer-by-Wire, Driveline, and Advanced Driver Assistance Systems (ADAS) technologies that support electrification, software-defined vehicles, and autonomous driving.

With approximately 13,000 employees and operations in more than 20 manufacturing plants and multiple technical centers globally, Nexteer partners with nearly every major global and regional automotive manufacturer.

Employment Agencies 

Employment agencies are an important component of our talent acquisition strategy, and we value the partnerships we have built with our preferred vendors. We will not accept unsolicited resumes from employment agencies for any employment opportunity. All resumes submitted by search firms to any employee at Nexteer Automotive or directly to hiring managers in any form without a signed Nexteer Automotive Agency Agreement on file, and search engagement for that position, will be deemed unsolicited in nature, and no fee will be paid in the event the candidate is hired as a result of the referral or through other means. Additionally, any resume submitted without a contract in place will be considered Nexteer Automotive property and no fees will be paid to the agency if the candidate is hired. 

Please note, agency agreements will only be valid if in writing and signed by a member of Nexteer's Human Resources team.  No other Nexteer employee is authorized to bind Nexteer to any agreement regarding the placement of candidates by an agency.