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Internship Generative Ai Prompt Engineer Jobs in Michigan

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

AI engineer Location: Dearborn, MI,48120- 2 days onsite in a week Employment Type: Full-time ... Experience with Generative AI - LLM and building frontend with React / Chainlit / Streamlit.

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

... prompt engineering, and coding for tool building and analysis. * Design and develop innovative ML ... Strong understanding of Generative AI principles and architectures, including Large Language Models ...

Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

Strong understanding of generative AI concepts and prompt engineering.Experience with Azure OpenAI, Azure Cognitive Services, or Microsoft AI SDKs is highly preferred. EducationBachelor's Degree in a ...

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) * Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based AI architectures ...

Showing results 41-60

Internship Generative Ai Prompt Engineer information

What is the difference between Internship Generative Ai Prompt Engineer vs Data Analyst?

AspectInternship Generative Ai Prompt EngineerData Analyst
Required CredentialsRelevant coursework, basic understanding of AI and NLPBachelor's in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageAI development, NLP projects, prompt optimizationData collection, analysis, reporting, visualization

While both roles involve working with data and technology, the Internship Generative Ai Prompt Engineer focuses on designing prompts for AI models, whereas a Data Analyst interprets data to inform business decisions. The prompt engineer role emphasizes AI and NLP skills, often in tech environments, while data analysts work across various industries analyzing datasets for insights.

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Software Engineer

FEV North America Inc

Auburn Hills, MI • On-site

Other

Posted 2 days ago

New


Job description

Description

Support the development and deployment of next-generation software solutions in the areas of Generative AI, Physical AI, Cloud Computing, and Embedded Systems. The position will contribute to the design, implementation, testing, and integration of software products while collaborating with multidisciplinary engineering teams. The engineer is expected to continuously develop technical skills and actively participate in innovation initiatives supporting automotive and intelligent mobility applications.

  • Develop software applications and services using modern programming languages and development frameworks. 
  • Support the development and deployment of Generative AI solutions, including AI assistants, intelligent automation tools, and machine learning applications. 
  • Contribute to Physical AI projects involving robotics, autonomous systems, digital twins, simulation environments, and sensor-based applications. 
  • Develop and maintain cloud-native applications and services on platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Support embedded software development activities for automotive and edge-computing systems when required. 
  • Participate in software architecture design, coding, unit testing, debugging, and validation activities. 
  • Collaborate with systems, software, data, and hardware engineers to deliver integrated solutions. 
  • Develop APIs, data processing pipelines, and software tools to support engineering projects. 
  • Participate in code reviews and ensure compliance with software quality standards. 
  • Document software designs, technical solutions, and development activities. 
  • Stay current with emerging technologies in AI, cloud computing, and software engineering. 

Requirements

  • Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field.  
  • 0-3 years of software development experience. 
  • Academic, internship, capstone project, or personal project experience in software development is acceptable. 
  • Experience in one or more programming languages such as Python, C++, C#, Java, or JavaScript. 
  • Exposure to embedded software development, Linux, RTOS, or automotive software development is considered an advantage.
  • Strong analytical, problem-solving, and communication skills. 
  • Self-motivated with a willingness to learn new technologies and work in fast-paced engineering environments. 
  • Solid understanding of software engineering fundamentals, algorithms, and object-oriented programming. 
  • Knowledge of AI/ML concepts and interest in Generative AI technologies. 
  • Familiarity with cloud platforms (Azure preferred). 
  • Understanding of software development lifecycle and Agile methodologies. 
  • Experience with Git or similar version control tools.