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Internship Generative Ai Prompt Engineer Jobs in Michigan

cyberThink, Inc.

AI/ML Engineer

Ann Arbor, MI · On-site

Generative AI * Large Language Models (LLMs) * Prompt Engineering * Retrieval-Augmented Generation (RAG) * Embeddings and Vector Search * AI Agent Frameworks * Model Evaluation and Benchmarking ...

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development. * Experience developing dashboards, web ...

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development. * Experience developing dashboards, web ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Practical experience developing applications using Large Language Models (LLMs), prompt engineering, and Generative AI technologies. Experience building AI solutions on cloud platforms such as GCP ...

Stefanini

MLOps Engineer

Dearborn, MI · On-site

Practical experience developing applications using Large Language Models (LLMs), prompt engineering, and Generative AI technologies.Experience building AI solutions on cloud platforms such as Google ...

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 ... Build and integrate Generative AI solutions using Large Language Models (LLMs). Develop AI agents ...

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Build and integrate Generative AI solutions utilizing large language models (LLMs) to create ... Familiarity with prompt engineering and evaluation frameworks. * Experience with containerization ...

ALTEN Technology USA

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 ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Hands-on experience with LLMs, prompt engineering, and Generative AI * Experience working with cloud platforms (GCP and/or AWS) * Strong understanding of SDLC, version control, testing, and ...

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All JobsGenerative Ai Prompt Engineer JobsInternship Generative Ai Prompt Engineer JobsInternship Generative Ai Prompt Engineer Jobs in Michigan

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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Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester Hills, MI • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply