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Generative Ai Developer Jobs in Connecticut (NOW HIRING)

Wise Insight

Software Engineer

Stamford, CT · On-site

... with AI engineering, LLM APIs, or generative AI applications - Experience building AI-powered automations or agentic workflows - Experience working with financial markets, investing, fintech ...

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

Collaborate with the DS team to develop a self-service internal developer AI platform. * Provide ... AI / generative AI * Experience with CI/CD pipelines, Automated Testing, Automated Deployments ...

Wise Insight

Software Engineer

Stamford, CT · On-site

$110 - $150/hr

Experience with AI engineering, LLM APIs, or generative AI applications * Experience building AI-powered automations or agentic workflows * Experience working with financial markets, investing ...

Ryder System, Inc.

Senior Director AI Security

Hartford, CT · On-site

$150 - $200/hr

... Generative AI, Large Language Models (LLMs), AI agents, machine learning platforms, autonomous ... Partner with technology, architecture, engineering, legal, privacy, procurement, and business ...

New

Deloitte

AI Security Engineer Manager

Hartford, CT · On-site

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

GXO Logistics

Sr. AI Solutions Engineer

Greenwich, CT · On-site

$62 - $80/hr

Experience working with large language models (LLMs) or generative AI technologies, including prompt engineering and AI workflow development * Experience building AI-driven workflows or agentic ...

GXO Logistics

Sr. AI Solutions Engineer

Greenwich, CT · On-site

$62 - $80/hr

Experience working with large language models (LLMs) or generative AI technologies, including prompt engineering and AI workflow development * Experience building AI-driven workflows or agentic ...

GTSS Inc

Salesforce Developer

East Hartford, CT · On-site

$55 - $73/hr

Experience with Einstein AI, Generative AI, or Agentic AI capabilities within Salesforce. * Salesforce Platform Developer I/II certification. * Health Cloud Accredited Professional certification.

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Generative Ai Developer information

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$18

$43

$96

How much do generative ai developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for generative ai developer in Connecticut is $43.08, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $52.12 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

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

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

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

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

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Connecticut as of August 2026, with employment types broken down into 74% Full Time, 19% Part Time, 2% Temporary, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $89,611 per year, or $43.1 per hour.

Software Engineer

Wise Insight

Stamford, CT • On-site

Full-time

Posted 5 days ago

Job description

Key Information:
Work Model: On-site, 5 days per week
Employment Type: Full-time
Company: Leading Investment Firm in Stamford, Connecticut

Key Responsibilities:
- Build and maintain full-stack software applications supporting investment research and internal business processes
- Develop production-quality applications using TypeScript and modern full-stack technologies within the T3 ecosystem
- Write Python for scripting, automation, data processing, and internal tooling
- Design and work with relational databases and write production-quality SQL
- Participate in the full software development lifecycle, from problem definition and architecture through implementation, testing, deployment, and maintenance

Requirements:
- 2 to 7 years of professional experience in full-stack software development
- Strong proficiency in TypeScript and modern full-stack development
- Strong hands-on Python experience with ability to read and write Python for scripting and automation
- Experience working with AWS and cloud-based application environments
- Strong understanding of relational databases
- Experience writing production-quality SQL
- Strong software engineering fundamentals, including clean code, testing, debugging, and system design
- Strong problem-solving skills and genuine curiosity about technology and data

Preferred Qualifications:
- Experience with AI engineering, LLM APIs, or generative AI applications
- Experience building AI-powered automations or agentic workflows
- Experience working with financial markets, investing, fintech, quantitative research, or financial technology
- Academic background in finance, economics, mathematics, statistics, computer science, or another quantitative discipline