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Entry Level Ai Software Engineer Jobs in Michigan

There is never a dull moment with us. /Preferred Qualifications The AI Software Engineer will design and build AI-driven applications powered by large language models (LLMs), with a focus on ...

There is never a dull moment with us. /Preferred Qualifications The AI Software Engineer will design and build AI-driven applications powered by large language models (LLMs), with a focus on ...

Use AI-assisted development tools to accelerate development, refactoring, test creation, and ... Azure Fundamentals or entry-level Azure certification. * Familiarity with Cursor, Claude Code, etc.

Use AI-assisted development tools to accelerate development, refactoring, test creation, and ... Azure Fundamentals or entry-level Azure certification. * Familiarity with Cursor, Claude Code, etc.

Software Engineer

Auburn Hills, MI · On-site

$70 - $100/hr

Develop software applications and services using modern programming languages and development ... Contribute to Physical AI projects involving robotics, autonomous systems, digital twins ...

We are seeking a creative and highly motivated software engineer eager to learn diverse datasets to ... Deploy scalable AI/ML powered analytics and prognostics applications in a cloud environment ...

The Software Engineer designs, develops, tests, and maintains software components within OneStream ... Use AI-assisted development tools to accelerate development, refactoring, test creation, and ...

The Software Engineer designs, develops, tests, and maintains software components within OneStream ... Use AI-assisted development tools to accelerate development, refactoring, test creation, and ...

Career framework alignment: Entry-level role on the Software Engineer ladder; this description is ... Use AI-assisted engineering workflows, including Claude Code or similar tools, to support ...

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Entry Level Ai Software Engineer information

What does an entry level AI software engineer do?

An Entry Level AI Software Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers, helping with tasks such as data preprocessing, coding algorithms, testing models, and integrating AI features into larger systems. Their responsibilities may also include debugging code, documenting processes, and staying updated with the latest AI trends and technologies. This role is ideal for those who have a foundational understanding of programming and machine learning concepts and are eager to grow their skills in the rapidly evolving field of AI.

What are the key skills and qualifications needed to thrive as an entry level AI software engineer?

To thrive as an Entry Level AI Software Engineer, you need a solid grasp of programming languages like Python or Java, foundational knowledge in machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and basic data handling tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and articulate complex ideas. These skills and qualities ensure you can contribute to AI projects efficiently and adapt to the rapidly evolving field of artificial intelligence.

What types of projects and responsibilities can an entry level AI software engineer expect in their first year on the job?

As an Entry Level AI Software Engineer, you can typically expect to work on tasks like cleaning and preparing datasets, implementing basic machine learning models, and supporting senior engineers with model evaluation and deployment. You may also be responsible for writing production-ready code, collaborating with data scientists, and participating in code reviews. The work environment is often team-oriented, with frequent opportunities to learn from experienced colleagues and contribute to ongoing research or product development. Over time, you'll gain exposure to more complex projects and may be given greater ownership of specific features or modules.

What is the difference between Entry Level Ai Software Engineer vs Data Scientist?

AspectEntry Level Ai Software EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some knowledge of programming and AI frameworksBachelor's or higher in CS, Statistics, or related; programming skills; knowledge of data analysis
Work EnvironmentSoftware development teams, tech companies, AI startupsData analysis teams, research labs, tech firms
Employer & Industry UsageTech companies, AI startups, R&D departmentsResearch institutions, tech firms, finance, healthcare

While both roles require programming skills and a background in AI or data analysis, Entry Level Ai Software Engineers focus on developing AI applications and software, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments, but their core responsibilities differ.

What are the most commonly searched types of Ai Software Engineer jobs in Michigan?

The most popular types of Ai Software Engineer jobs in Michigan are:

What are popular job titles related to Entry Level Ai Software Engineer jobs in Michigan?

For Entry Level Ai Software Engineer jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Entry Level Ai Software Engineer jobs?

Cities in Michigan with the most Entry Level Ai Software Engineer job openings:

Infographic showing various Entry Level Ai Software Engineer job openings in Michigan as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Software Engineer - Operations

Orbotech

Ann Arbor, MI • On-site

$90K - $153K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Key responsibilities

  • 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 into scalable applications


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

Responsibilities:

  • 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

Minimum Qualifications

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

  • Minimum three (3) years of professional software development experience

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

  • 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

  • Familiarity with prompt engineering and LLM interaction patterns

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

  • Experience working in with or for a global manufacturing company

Base Pay Range: $90,400.00 - $153,700.00 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.