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Generative Ai Engineer Internship Jobs in Connecticut

Generative AI Architect Job Location: Orange, Connecticut Job Type: Contract * ideate/originate AI ... Experience with DevOps practices for machine learning, including CI/CD for AI systems ...

AI Engineer

Stamford, CT · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

AI Engineer

Hartford, CT · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Lead Engineer - Cloud & Gen AI

Orange, CT

$59.75 - $79.75/hr

Benefits - Avangrid Job Summary The Lead Engineer, Cloud and Generative AI (Artificial Intelligence) is the Subject Matter Expert (SME) with designing, implementing, and managing scalable cloud ...

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

Benefits - Avangrid Job Summary The Lead Engineer, Cloud and Generative AI (Artificial Intelligence) is the Subject Matter Expert (SME) with designing, implementing, and managing scalable cloud ...

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

Benefits - Avangrid Job Summary The Lead Engineer, Cloud and Generative AI (Artificial Intelligence) is the Subject Matter Expert (SME) with designing, implementing, and managing scalable cloud ...

Principal Software Engineer - IE06GE We're determined to make a difference and are proud to be an ... AI / generative AI * Experience with CI/CD pipelines, Automated Testing, Automated Deployments ...

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Generative Ai Engineer Internship information

What is a generative AI engineer internship?

A Generative AI Engineer Internship is a temporary position where interns work on developing and optimizing AI models that generate content, such as text, images, or code. Interns typically assist in training, fine-tuning, and testing deep learning models, often using frameworks like TensorFlow or PyTorch. They may also work with large datasets, implement prompt engineering, and collaborate with researchers or engineers. This role provides hands-on experience in machine learning, model deployment, and AI ethics, helping interns build expertise in the field.

What kinds of projects or tasks do generative AI engineer interns typically work on during their internship?

Generative AI Engineer Interns usually contribute to projects involving model architecture development, data preprocessing, and evaluation of generative algorithms for tasks like text, image, or audio synthesis. Interns often collaborate closely with senior engineers and data scientists, participate in code reviews, and assist in optimizing model performance or preparing proofs of concept for new generative applications. You may also be involved in researching state-of-the-art methods and presenting your findings to the team. These experiences offer valuable hands-on exposure and are designed to prepare you for a future full-time role in AI engineering.

What are the key skills and qualifications needed to thrive in the generative AI engineer internship position, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, deep learning frameworks, and experience with programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and version control systems is often expected, and relevant coursework or certifications in AI or data science are advantageous. Strong problem-solving abilities, communication skills, and eagerness to learn help distinguish top candidates in collaborative, fast-paced environments. These skills are vital for effectively developing, testing, and iterating on generative models that address real-world challenges.

What are the most commonly searched types of Generative Ai Engineer jobs in Connecticut?

The most popular types of Generative Ai Engineer jobs in Connecticut are:

What are popular job titles related to Generative Ai Engineer Internship jobs in Connecticut?

For Generative Ai Engineer Internship jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer Internship jobs in Connecticut look for?

The top searched job categories for Generative Ai Engineer Internship jobs in Connecticut are:

What cities in Connecticut are hiring for Generative Ai Engineer Internship jobs?

Cities in Connecticut with the most Generative Ai Engineer Internship job openings:

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Info Way Solutions is a company focused on advanced AI technologies, and they are seeking a Gen AI Engineer to design and implement innovative AI/ML models. The role involves developing generative AI solutions and collaborating with teams to integrate these technologies into various applications.
Responsibilities:
• Design, develop, and deploy AI/ML models, with a focus on Generative AI and autonomous agents.
• Implement LLM-based AI agents, fine-tune pre-trained models, and integrate them into applications.
• Develop and optimize multi-modal AI systems (text, image, audio, video) using state-of-the-art techniques.
• Work with Reinforcement Learning (RL), Prompt Engineering, and Knowledge Graphs to improve AI agent capabilities.
• Collaborate with cross-functional teams to integrate AI-powered solutions into products and services.
• Conduct research, experiment with emerging AI frameworks, and optimize model performance.
• Ensure scalability, efficiency, and ethical considerations in AI solutions.
Qualifications:
Required:
• Bachelor's, Master's, or Ph.D. in Computer Science, AI, Data Science, or a related field.
• 3+ years of experience in AI/ML development, with expertise in Generative AI and AI agents.
• Proficiency in Python, TensorFlow/PyTorch, and Hugging Face Transformers.
• Experience with LLMs (GPT, Claude, Gemini, etc.), vector databases, and retrieval-augmented generation (RAG).
• Strong understanding of NLP, deep learning, and model fine-tuning techniques.
• Experience working with MLOps, cloud-based AI deployment (AWS/GCP/Azure), and containerization (Docker, Kubernetes).
• Knowledge of prompt engineering, reinforcement learning, and AI safety principles.
• Strong problem-solving skills, ability to work independently and collaboratively.
Preferred:
• Experience with self-learning AI agents, autonomous workflows, or multi-agent systems.
• Background in graph-based AI, symbolic reasoning, or cognitive architectures.
• Contributions to open-source AI/ML projects or research publications in relevant domains.
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.