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Ai Agent Developer Jobs in Connecticut (NOW HIRING)

Valitana LLC

AI Agent Engineer

Stamford, CT · On-site

AI Agent Engineer About Valitana Valitana is a rapidly growing FinTech company delivering cutting-edge SaaS solutions to institutional investors. Founded in 2017, our platform provides advanced ...

Franklintempleton

AI/ML Lead Engineer

Stamford, CT

$109K - $143K/yr

... seeking an AI/ML Lead Engineer to design and implement agents for financial advisors that ... Build agent workflows that integrate context retrieval, reasoning, tool execution, validation, and ...

Franklin Templeton

AI/ML Lead Engineer

Stamford, CT · On-site

$109K - $143K/yr

... seeking an AI/ML Lead Engineer to design and implement agents for financial advisors that ... Build agent workflows that integrate context retrieval, reasoning, tool execution, validation, and ...

DFO Referrals

AI Governance Engineer

Westport, CT · Hybrid

... agent registry. * Lead AI threat modeling, risk assessments, red team exercises, and security ... software engineering, including 2+ years of hands-on enterprise AI/automation experience.

New

DFO Referrals

AI Governance Engineer

Westport, CT · On-site

... agent registry. * Lead AI threat modeling, risk assessments, red team exercises, and security ... software engineering, including 2+ years of hands-on enterprise AI/automation experience.

CGI Inc.

Agentic AI Developer

Hartford, CT · On-site

Agentic AI Developer Category: Software Development/ Engineering Main location: United States ... Implement agent-based and multi-agent workflows for task orchestration and automation . Work with ...

Suffolk Construction

Site AI Engineer

New Haven, CT · On-site

Rapid AI-agent builds - Convert user stories into MVP agents in AWS Bedrock/Sagemaker, ChatGPT ... Python, SQL, Fast API, Databricks Lakehouse, vector stores. * DevOps & IaC: GitHub Actions ...

New

Wolters Kluwer

Design and implement fullstack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment. * Build developer tooling, CI/CD, and ...

Wolters Kluwer

Design and implement fullstack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment. * Build developer tooling, CI/CD, and ...

Wolters Kluwer

Design and implement fullstack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment. * Build developer tooling, CI/CD, and ...

Deloitte

Oracle Tech Cloud Manager

Hartford, CT · On-site

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle ... Bachelor's degree or higher in computer science, information technology, software engineering ...

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All JobsAi Agent Developer JobsAi Agent Developer Jobs in Connecticut

Ai Agent Developer information

See Connecticut salary details

$27.6K

$45.6K

$94.7K

How much do ai agent developer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai agent developer in Connecticut is $45,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $48,500.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.
What are the most commonly searched types of Ai Agent Developer jobs in Connecticut? The most popular types of Ai Agent Developer jobs in Connecticut are:
What are popular job titles related to Ai Agent Developer jobs in Connecticut? For Ai Agent Developer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Ai Agent Developer jobs in Connecticut look for? The top searched job categories for Ai Agent Developer jobs in Connecticut are:
What cities in Connecticut are hiring for Ai Agent Developer jobs? Cities in Connecticut with the most Ai Agent Developer job openings:
Ai Agent Developer jobs near you
Infographic showing various Ai Agent Developer job openings in Connecticut as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $45,596 per year, or $21.9 per hour.

AI Agent Engineer

Valitana LLC

Stamford, CT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

AI Agent Engineer
About Valitana
Valitana is a rapidly growing FinTech company delivering cutting-edge SaaS solutions to institutional investors. Founded in 2017, our platform provides advanced financial analytics, trade flow insights, and portfolio management tools that empower our clients to make faster and more informed decisions while improving operational efficiency.
Valitana was awarded the 2026 Deal Catalyst CLO Award for Best CLO & Technology Provider - Innovation and serves approximately 100 institutional clients including CLO investors, CLO managers, hedge funds, asset managers, insurance companies, family offices, and broker dealers.
Position Overview
Valitana is hiring its first dedicated AI Agent Engineer - a founding role that will define how artificial intelligence is designed, built, and governed across our platforms. This isn't a seat on an established AI team. It's the opportunity to stand that capability up from the ground floor and set the standards everyone who follows will build on.
You'll work directly with Valitana's product and executive leadership - a team whose backgrounds span CVC Credit Partners, Ellington Management Group, Eagle Point Credit, Trepp, Allvue, Royal Bank of Scotland, and JPMorgan Chase. You'll develop a deep understanding of our platforms, client workflows, and the structured-credit domain, then turn that knowledge into AI-powered solutions: prototyping features, designing agent orchestration patterns, and hardening the security and governance controls that make AI trustworthy in a regulated environment.
This is a high-ownership, product-minded role with unusual proximity to both the product and the people who lead it.
Why This Role Matters
You're founding the function, not inheriting it. As our first AI-focused engineer, you'll make the foundational calls - frameworks, orchestration patterns, evaluation standards, security posture - that shape every AI system Valitana builds from here. The playbook doesn't exist yet. You write it.
Your work ships, and people see it. On a ~60-person team serving roughly 100 institutional clients, there's a short line between a prototype on your screen and a capability in front of a CLO manager or asset manager. Nothing gets lost in the org chart.
The problems are genuinely hard. Structured credit - CLOs, ABS, leveraged loans - is a complex, high-stakes domain. The AI you build here solves real analytical and operational problems for sophisticated clients, not novelty use cases.
Responsibilities
As Valitana's AI Agent Engineer, you will:
  • Prototype and iterate on AI-driven product features in partnership with product leadership across internal tooling, data pipelines, and platform enhancements.
  • Design and build AI agent orchestration infrastructure: dispatch patterns, tool use, structured output parsing, memory management, and multi-agent coordination.
  • Develop and maintain prompt engineering and context engineering systems that drive reliable and auditable agent behavior.
  • Build evaluation pipelines, monitoring, and quality gates for AI agent outputs.
  • Implement security and governance controls for AI systems: prompt injection defense, input/output validation, authority scoping, data boundary enforcement, and auditability.
  • Evaluate and integrate emerging AI tooling and frameworks: MCP servers, retrieval systems, embedding pipelines, and orchestration libraries.
  • Collaborate with cross-functional teams - product, engineering, and business stakeholders - to bring AI capabilities from prototype to production.
  • Document system architectures, agent contracts, and operational patterns for technical and non-technical audiences.
  • Stay current with advancements in AI agent frameworks, LLM tooling, and security best practices.
What You Bring
Must-haves
  • 3-5+ years of experience in software development, with strong proficiency in Python.
  • Hands-on experience building with LLM APIs (Anthropic, OpenAI, or similar), including tool use, structured outputs, function calling, and multi-turn orchestration.
  • A disciplined, engineering-grade approach to prompt engineering and context engineering.
  • Experience with multi-agent systems, agent orchestration frameworks, or AI pipeline design.
  • A security-first mindset with awareness of LLM-specific risks: prompt injection, data leakage, and authority boundary enforcement.
  • Demonstrated ability to rapidly prototype and iterate across a range of AI-powered solutions.
  • Comfort working across prototyping (Python, markdown-driven systems) and production (C#, Angular, SQL Server) environments.
  • Strong written and verbal communication skills. Documenting agent architectures and system designs is a core part of this role.
  • Self-direction and the ability to manage multiple concurrent workstreams in a fast-paced environment.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Bonus points
  • Experience or familiarity with financial products, particularly structured credit (CLOs, ABS, leveraged loans).
What We Offer
Base salary range for this role is $140,000-$180,000. Valitana offers a competitive compensation package including base salary and an annual performance bonus. Employees receive a comprehensive benefits package that includes an employer-matched retirement plan, healthcare with medical, dental, vision, and telemedicine, and PTO.
Employees in this role will work in the office Monday through Wednesday with the flexibility to work remotely Thursday and Friday.
Valitana is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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