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Java Ai Developer Jobs in Detroit, MI (NOW HIRING)

Megan soft Inc

3DX Developer

Dearborn, MI · On-site

Lead code-based migration of existing Java BOM functionalities to 3DX, including data ... Build integrations between 3DX data and AI/ML tools (Python, Qliksense, Alteryx, LLMs) for ...

FastTek Global

Senior PLM Developer

Dearborn, MI

This role is unique in its requirement to develop AI-driven automation tools that identify and ... Expert-level Java development skills (Core Java, Multi-threading, and RESTful API consumption). · ...

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V2Soft

Senior PLM Developer

Dearborn, MI

Expert-level Java development skills (Core Java, Multi-threading, and RESTful API consumption ... Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM ...

V2Soft

Senior PLM Developer

Dearborn, MI

Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more ... Expert-level Java development skills (Core Java, Multi-threading, and RESTful API consumption ...

V2Soft

Senior PLM Developer

Dearborn, MI

Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more ... Expert-level Java development skills (Core Java, Multi-threading, and RESTful API consumption ...

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How much do java ai developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for java ai developer in Detroit, MI is $56.13, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $62.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java AI Developer, and why are they important?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
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Backend Engineer - AI Agents (Remote)

Backend Engineer - AI Agents (Remote)

Outlier AI

Detroit, MI • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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.

Apply