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Software Engineer Ai Model Training Jobs in Michigan

Aquent

AI Software Test Engineer (SDET)

Ann Arbor, MI · On-site

$42.06 - $46.73/hr

Validate AI model outputs for accuracy, consistency, reliability, and safety, performing ... We also offer free online training through Aquent Gymnasium. More information on our awesome ...

Corning

$111K - $146K/yr

... on software engineering, application development, Python, APIs, LLM-enabled solutions, and ... This is not a pure research or model-training role. We are looking for someone who can build real ...

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

As an AI Engineer, you will design, develop, and deploy AI-powered applications and services that ... In this role, you will combine strong software development principles with hands-on experience ...

Kiongroup

AI Application Engineer

Grand Rapids, MI · On-site

$133K - $204K/yr

... software architecture, API design and coding standards and security * Collaborate with data engineers and cloud engineers to establish AI/ML development environments for efficient model training ...

Kiongroup

AI Application Engineer

Grand Rapids, MI · On-site

$133K - $204K/yr

... software architecture, API design and coding standards and security * Collaborate with data engineers and cloud engineers to establish AI/ML development environments for efficient model training ...

Corning

This is not a pure research or model-training role. We are looking for a hands-on technical leader ... Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science ...

Corning

$93K - $122K/yr

This is not a pure research or model-training role. We are looking for a technical leader who can ... What do you need to have? - Bachelor's degree in Computer Science, Software Engineering ...

FastTek

Software Engineer

Dearborn, MI

Software Engineer #1055475 * Employees in this job function are responsible for designing ... Take "proof-of-concept" AI models developed by R&D teams and architect them into scalable ...

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency for peak ... We also offer free online training through Aquent Gymnasium. More information on our awesome ...

Bright Vision Technologies

AI Data Engineer

Troy, MI · Remote

$80K - $100K/yr

Familiarity with high-throughput data loading for accelerator-based training. * Strong software ... Experience supporting frontier model training pipelines. How to Apply Would you like to know more ...

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Software Engineer Ai Model Training information

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.
What are popular job titles related to Software Engineer Ai Model Training jobs in Michigan? For Software Engineer Ai Model Training jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Software Engineer Ai Model Training jobs in Michigan look for? The top searched job categories for Software Engineer Ai Model Training jobs in Michigan are:
What cities in Michigan are hiring for Software Engineer Ai Model Training jobs? Cities in Michigan with the most Software Engineer Ai Model Training job openings:
Software Engineer Ai Model Training jobs near you
Infographic showing various Software Engineer Ai Model Training job openings in Michigan as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI Software Engineer|Manufacturing

Orbotech

Ann Arbor, MI

$111K - $188K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

The AI Software Engineer will design and build AI-driven applications powered by large language models (LLMs), with a focus on integrating AI capabilities into user-facing products. This role emphasizes application development, orchestration, and user experience rather than model training. The engineer will develop scalable backend services, prototype intuitive user interfaces, and enable seamless interaction between users and LLM-based systems.
This position requires a strong blend of software engineering, systems thinking, and practical AI implementation to deliver production-ready solutions that leverage LLM APIs and frameworks.Design and develop end-to-end AI applications that leverage LLMs for business use cases

  • Build and maintain backend services that orchestrate LLM interactions, prompts, and workflows

  • Prototype and develop intuitive user interfaces that enable effective human-AI interaction

  • Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications

  • Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability

  • Implement retrieval-augmented generation (RAG) architectures using internal and external data sources

  • Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge bases)

  • Monitor, evaluate, and improve AI application performance using metrics such as latency, cost, and response quality

  • Collaborate with product managers, data scientists, and business stakeholders to translate requirements into AI-enabled solutions

  • Ensure responsible AI practices, including privacy, security, and bias mitigation

  • Rapidly prototype AI tools and iterate based on user feedback

Preferred Qualifications

  • Experience working in manufacturing

  • Experience building AI products using LLM frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex)

  • Knowledge of retrieval-augmented generation (RAG) and vector databases (e.g., Pinecone, FAISS, Azure Cognitive Search)

  • Vector database (Milvus) for semantic search, along with a knowledge graph (Neo4j)

  • Experience orchestrating multi-step AI workflows or agent-based systems

  • Familiarity with enterprise data platforms and integrations (e.g., Snowflake, SAP, APIs, knowledge graphs)

  • Experience designing conversational interfaces or chat-based applications

  • Understanding of evaluation techniques for LLM outputs (quality, grounding, hallucination mitigation)

  • Exposure to prompt optimization, fine-tuning concepts (not necessarily hands-on training)

  • Experience deploying scalable microservices architectures

  • Strong UI/UX sensibility for AI-driven applications

  • Experience working in cross-functional teams delivering production-grade AI solutions

  • Bachelor's degree in Computer Science, Software Engineering, or related field

  • 3+ years of professional software development experience

  • Strong programming skills in Python, JavaScript, or similar languages

  • Experience building and consuming RESTful APIs

  • Hands-on experience integrating LLM APIs or similar AI services into applications

  • Familiarity with prompt engineering and LLM interaction patterns

  • Experience developing web-based user interfaces (e.g., React, Angular, or similar frameworks)

  • Understanding of cloud platforms (e.g., Azure, Snowflake)

  • Knowledge of software design principles, version control, and CI/CD practices

Minimum Qualifications

  • Master's Level Degree and related work experience of 6 years; OR Bachelor's Level Degree and related work experience of 8 years; OR equivalent work experience

Base Pay Range: $111,100.00 - $188,900.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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