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Entry Level Ai Developer Jobs in Michigan (NOW HIRING)

SynergisticIT

Entry-Level Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... Snowflake, Databricks, LLM, Gen AI, Text mining, Tableau, PowerBI, SAS, Tensorflow If you get ...

Pwc

CTIO - AI Engineer - Experienced Associate

Detroit, MI · On-site

$50K - $140K/yr

... AI Engineer - Experienced Associate, you will leverage advanced analytics and statistical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

SynergisticIT

Angular Developer

Detroit, MI · On-site

$50 - $61.25/hr

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python ... AI, LLM, Python, Computer Vision, data visualization tools Excellent written and verbal ...

SynergisticIT

Junior Java/C++ Developer

Detroit, MI · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... AI, LLM, Python, computer vision, data visualization tools excellent written and verbal ...

DISHER

Senior Controls Engineer

Zeeland, MI

$89K - $117K/yr

Mentor, coach, and train entry level Controls Engineers * Communicate with all departments on ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

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Entry Level Ai Developer information

See Michigan salary details

$25.7K

$87.4K

$210.5K

How much do entry level ai developer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for entry level ai developer in Michigan is $87,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $92,400.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level AI Developer, you need a solid grasp of programming languages like Python, foundational knowledge in mathematics and statistics, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is typically expected. Strong problem-solving skills, teamwork, and a willingness to learn are crucial soft skills for this role. These competencies enable you to contribute effectively to AI projects, adapt to evolving technologies, and collaborate well with multidisciplinary teams.

What types of projects and tasks can an Entry Level AI Developer expect to work on in their first year?

As an Entry Level AI Developer, you can expect to work on a variety of foundational tasks such as data preprocessing, implementing and testing machine learning models, and supporting senior developers with code maintenance. You may be involved in gathering and cleaning data, conducting exploratory data analysis, and assisting with model evaluation and performance tuning. Collaboration with data scientists, engineers, and product teams is common, as you’ll help integrate AI solutions into existing systems or applications. This hands-on experience is valuable for building technical skills and understanding the full AI development lifecycle.

What does an Entry Level AI Developer do?

An Entry Level AI Developer assists in designing, developing, and implementing artificial intelligence models and systems under the guidance of senior engineers. Their responsibilities often include data preprocessing, coding algorithms, testing AI solutions, and collaborating with cross-functional teams. They typically work with programming languages like Python, utilize machine learning libraries, and help improve model accuracy. This role provides foundational experience for building a career in AI and machine learning.

What is the difference between Entry Level Ai Developer vs Data Analyst?

AspectEntry Level Ai DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming languages like PythonBachelor's in Statistics, Math, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, AI startups, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageDevelop AI models, machine learning algorithms, and automation toolsAnalyze data trends, generate reports, and support decision-making

While both roles require strong analytical skills and programming knowledge, Entry Level Ai Developers focus on creating AI models and algorithms, often in tech-driven environments. Data Analysts interpret data to inform business decisions, working across various industries. The roles overlap in data handling and technical skills but differ in their core objectives and tools used.

What are the most commonly searched types of Ai Developer jobs in Michigan? The most popular types of Ai Developer jobs in Michigan are:
What are popular job titles related to Entry Level Ai Developer jobs in Michigan? For Entry Level Ai Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Developer jobs in Michigan look for? The top searched job categories for Entry Level Ai Developer jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Ai Developer jobs? Cities in Michigan with the most Entry Level Ai Developer job openings:
Entry Level Ai Developer jobs near you
Generative AI Researcher

Generative AI Researcher

Tata Consultancy Services

Warren, MI • On-site

Full-time

Posted 6 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

157th of 206 rated it services

Job description

Job Summary:

We are seeking a highly skilled and creative Entry Level - Generative AI Engineer to apply state-of-the-art generative models to solve complex challenges in automotive engineering. This role focuses on creating intelligent agents that leverage generative capabilities for reasoning, planning, and executing complex tasks autonomously. The ideal candidate will bridge the gap between generative AI's creative potential and agentic AI's autonomous action, developing systems that can understand, reason, and act in dynamic environments.

Key Responsibilities

Integrated AI System Development:

Design and build AI agents that utilize large language models for reasoning and decision-making

Develop systems where generative AI components enable sophisticated planning and problem-solving

Create autonomous agents capable of using tools, APIs, and external systems through generative interfaces

Implement multi-agent systems where generative AI facilitates communication and collaboration

Generative AI Capabilities:

Fine-tune and optimize large language models for specific agentic tasks

Develop prompt engineering strategies for complex reasoning and chain-of-thought processes

Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context

Create generative models for code generation, content creation, and strategic planning within agent frameworks

Agent Architecture & Autonomy:

Build reflective agents that can critique and improve their own reasoning processes

Design goal-oriented systems that use generative AI for planning and adaptation

Implement memory architectures that allow agents to learn from experience and maintain context

Develop safety mechanisms and oversight for autonomous generative agents

Multi-Modal Agent Systems:

Integrate vision, language, and action capabilities within agent frameworks

Develop agents that can process and generate across multiple modalities (text, image, audio)

Create embodied agents that interact with digital and physical environments

Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Education: Ph.D in Computer Science, Electrical Engineering, Mechanical Engineering or related streams.

Technical Proficiency:

Experience with generative AI (LLMs, diffusion models, generative architectures)

Experience with agentic AI systems, reinforcement learning, or autonomous systems

Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow)

Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks

Proficiency with transformer architectures and fine-tuning techniques

Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities

Experience with RAG systems, vector databases, and knowledge retrieval

Knowledge of reinforcement learning, planning algorithms, and decision-making systems

Familiarity with multi-agent systems and emergent behavior

Ph.D

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Tata Consultancy Services logo

About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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