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Assistant Ai Agent Developer Jobs in Michigan (NOW HIRING)

General Motors

AI Agent Engineer

Warren, MI · On-site

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that ... Experience with Glean (or similar enterprise AI search/assistant platforms) is a strong plus. What ...

General Motors

AI Agent Engineer

Warren, MI · On-site +1

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that ... Experience with Glean (or similar enterprise AI search/assistant platforms) is a strong plus. What ...

General Motors

AI Agent Engineer

Warren, MI · On-site +1

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that ... Experience with Glean (or similar enterprise AI search/assistant platforms) is a strong plus. What ...

Merican

AI Native Software Engineer

Detroit, MI · On-site

AI Agent Engineering * Design and implement AI agents, including: * Retrieval (RAG) * Orchestration workflows * Tool/function invocation * Policy-based routing * Build evaluation frameworks for ...

Merican

AI Native Software Engineer

Detroit, MI · On-site

AI Agent Engineering * Design and implement AI agents, including: * Retrieval (RAG) * Orchestration workflows * Tool/function invocation * Policy-based routing * Build evaluation frameworks for ...

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Assistant Ai Agent Developer information

What are the key skills and qualifications needed to thrive as an Assistant AI Agent Developer, and why are they important?

To thrive as an Assistant AI Agent Developer, you need a solid background in programming (especially Python), machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, version control systems like Git, and APIs is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are essential soft skills for success in this role. These skills ensure the development of robust, efficient AI agents and smooth collaboration within multidisciplinary teams.

What are the typical collaboration practices for an Assistant AI Agent Developer within a software development team?

As an Assistant AI Agent Developer, you'll frequently collaborate with data scientists, senior developers, and product managers to design, test, and refine AI agents. You'll often participate in code reviews, daily standups, and brainstorming sessions to ensure that the AI solutions align with project goals and user needs. Effective communication and teamwork are essential, as you may need to integrate your code with other systems or adapt to evolving project requirements. Working with cross-functional teams not only helps in troubleshooting but also provides valuable learning opportunities to advance your skills.

What is an Assistant AI Agent Developer?

An Assistant AI Agent Developer is a professional who designs, develops, and maintains AI-powered virtual assistants or chatbot systems. Their work involves programming conversational agents, integrating natural language processing (NLP) technologies, and ensuring the agent can understand and respond to user queries effectively. They may also be responsible for training the AI using data, testing the assistant's performance, and deploying updates for improved accuracy and functionality. This role often requires knowledge of programming languages such as Python, familiarity with AI frameworks, and understanding of user experience design.
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Assistant Ai Agent Developer jobs near you
AI Agent Developer (Contract, Remote)

AI Agent Developer (Contract, Remote)

Outlier AI

Detroit, MI • Remote

Full-time

Posted 8 days ago

Job description

About the Project

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

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