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Senior Ai Software Engineer Jobs in Connecticut (NOW HIRING)

The Boathouse

AI Software Developer

Westport, CT · On-site

$25 - $75/hr

We are hiring an AI Software Developer to: * Build applications and IT infrastructure for our agency and clients. * This is an hourly role with potential to turn full time. * Must have experience ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Senior AI Scientist Location: Guilford, Connecticut The Senior AI Scientist is a talented and ... Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Senior AI Scientist Location:Guilford, Connecticut The Senior AI Scientist is a talented and ... Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help ...

Hyperfine

Senior AI Scientist

Guilford, CT

$160K - $185K/yr

Senior AI Scientist Location: Guilford, Connecticut The Senior AI Scientist is a talented and ... Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help ...

RCN Capital LLC

Senior Software Engineer

South Windsor, CT · On-site

$119K - $156K/yr

Design and implement AI-powered features, including intelligent agents and automated document ... software development experience * At least 3 years operating in a Senior or Lead Engineer capacity

TicketNetwork

Senior Software Engineer

South Windsor, CT · On-site

$119K - $156K/yr

Design and implement AI-powered features, including intelligent agents and automated document ... software development experience * At least 3 years operating in a Senior or Lead Engineer capacity

RCN Capital, LLC.

Senior Software Engineer

Windsor, CT · On-site

$100 - $125/hr

AI/GenAI * Proven experience with LLMs (4th generation or newer), Prompt Engineering, and building ... professional software development experience * At least 3 years operating in a Senior or Lead ...

Relativity

Software Engineer

Bridgeport, CT · On-site

Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

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Senior Ai Software Engineer information

What is a senior AI software engineer?

Senior AI Software Engineers are experienced professionals who design, develop, and deploy artificial intelligence (AI) systems and applications. They lead complex projects involving machine learning, deep learning, and data analysis, often mentoring junior engineers and collaborating with data scientists. Their responsibilities include creating scalable AI models, optimizing algorithms, and ensuring that AI solutions meet business objectives. They typically possess advanced knowledge of programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Additionally, they stay updated on the latest AI trends and best practices to drive innovation within their organizations.

What does a senior AI software engineer do?

As a Senior AI Software Engineer, you will frequently work cross-functionally with data scientists and product teams to design, develop, and deploy AI solutions. You’ll translate complex models developed by data scientists into scalable, production-ready code, and ensure the solutions meet performance and reliability standards. Regular communication with product managers and stakeholders is essential to align technical deliverables with business objectives, and you may also mentor junior engineers in best practices for AI system integration.

What are the key skills and qualifications needed to thrive as a senior AI software engineer?

To thrive as a Senior AI Software Engineer, you need deep expertise in machine learning, programming languages such as Python or Java, and a strong background in computer science or a related field, often with an advanced degree. Familiarity with frameworks like TensorFlow or PyTorch, experience deploying models to production, and knowledge of cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, leadership, and effective communication skills distinguish top performers in this role. These skills ensure the ability to design, build, and scale AI solutions that drive innovation and deliver business value.

What is the difference between Senior Ai Software Engineer vs Data Scientist?

AspectSenior Ai Software EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with AI frameworksBachelor's/Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentDevelops AI models, software, and algorithms; collaborates with engineering teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require strong technical skills and experience with AI tools, Senior Ai Software Engineers focus on developing and deploying AI software solutions, whereas Data Scientists primarily analyze data to generate insights and build predictive models. The roles often overlap but differ in their core responsibilities and focus areas.

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

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

What are popular job titles related to Senior Ai Software Engineer jobs in Connecticut?

For Senior Ai Software Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Senior Ai Software Engineer jobs in Connecticut look for?

The top searched job categories for Senior Ai Software Engineer jobs in Connecticut are:

Senior Ai Software Engineer jobs near you
Infographic showing various Senior Ai Software Engineer job openings in Connecticut as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Senior Conversational AI Software Engineer

Prophecy Technologies

Hartford, CT • On-site

$123K - $162K/yr

Full-time

Re-posted 26 days ago

Job description

Role Description
• Lead the technical design and implementation of major components of our conversational AI platform (chat and voice)
• Own end-to-end delivery of complex features - from design through deployment, monitoring, and iteration
• Drive engineering excellence in code quality, testability, performance, scalability, and observability
• Perform deep design and code reviews; raise the technical bar across the team
• Integrate and evaluate Large Language Models, NLU/NLP engines, and STT/TTS components into production pipelines
• Partner with data scientists and ML engineers to operationalize models, evaluation frameworks, and guardrails
• Collaborate with cross-functional partners to translate ambiguous business requirements into clear technical solutions
• Help deploy, operate, and maintain large-scale software in production with strong operational discipline
• Mentor mid-level and senior engineers on advanced technical topics and best practices
• Contribute to the long-term technical strategy alongside Principal Engineers and architects
Required Qualifications
• 8 years of experience designing and building software engineering solutions in cloud environments (GCP, AWS, or Azure)
• 8 years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.
• 8 years of experience with APIs, microservices, and modern software patterns
• 3 years of experience working with cross-functional stakeholders on complex requirements
• Solid working knowledge of conversational AI technologies (e.g., chatbots, voice assistants, LLMs, STT/TTS, NLU/NLP engines)
Preferred Qualifications
• Hands-on experience integrating Large Language Models (LLMs) into production applications, including prompt engineering, RAG, and evaluation
• Experience developing and supporting voice and text chatbots, including dialog design at scale
• Experience with conversational AI platforms (e.g., Dialogflow, Lex, Rasa, Genesys, NICE, Twilio) and CCaaS/IVR Integrations
• Familiarity with LLM evaluation, guardrails, observability, and A/B testing of dialog flows
• Strong communication skills, capable of explaining technical concepts to both engineering and business audiences
• Advanced degree (Master''s or PhD) in Computer Science, Engineering, AI, or a related field

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