talentyGo

Staff Software Engineer, Front End ML, AI πŸ†

The Hartford

πŸ“ Hartford, Connecticut, US0πŸ’Ό Full-timeπŸ’° 116,000 – 174,000 USD/yearπŸ• 5/21/2026
Apply now β†’

Start your Pro trial in 30 seconds (3 days free): you also get the AI match score with your resume.

Role overview

The Hartford is hiring for the Staff Software Engineer, Front End ML, AI πŸ† role in Hartford, Connecticut, US. It is full-time, Lead level, in the Tech sector. The stated pay for this position is 116,000 – 174,000 USD/year. It was posted 5/21/2026.

On TalentyGo you can review this job and apply more effectively: Charlie prepares an ATS-optimized resume and a cover letter tailored to "Staff Software Engineer, Front End ML, AI πŸ†" at The Hartford in about a minute. Before you apply, you can also check how well your profile fits, with a match score based on skills, experience, location and seniority.

Role
Staff Software Engineer, Front End ML, AI πŸ†
Company
The Hartford
Location
Hartford, Connecticut, US
Work mode
On-site
Employment
Full-time
Seniority
Lead
Sector
Tech
Salary
116,000 – 174,000 USD/year
Posted
5/21/2026

Description

Staff Software Engineer, Front End πŸ’° Salary: $116,000 - 174,000 per year At The Hartford we are looking for a ML, AI engineer! πŸ› οΈ Our tech stack: AI, API, AWS, Angular, Backend, Bootstrap, ChatGPT, CI/CD, Cloud, Copilot, DevOps, Docker, Dynatrace, ES6, Frontend, GitHub, GraphQL, HTML5, Support, Java, JavaScript, Jenkins, NgRx, Playwright, Python, REST, Redux, Security, TypeScript, Webpack, Web, UX UI Design, Machine-Learning πŸ“ Rquirements: - We need 6+ years of front-end development experience, with a strong track record of delivering scalable, enterprise-level web applications. - We need 5+ years of hands-on experience with modern JavaScript frameworks or libraries such as Angular. - We require strong proficiency in HTML5, CSS3, JavaScript ES6+, TypeScript, and responsive design best practices. - We need experience with state management approaches and libraries such as Redux, NgRx, Zustand, or similar front-end architecture patterns. - We need a solid understanding of performance tuning techniques, including lazy loading, code splitting, caching, and CDN strategies. - We prefer familiarity with Agile and SAFe delivery methodologies. - We need experience integrating with APIs, including REST and GraphQL, and working with asynchronous data flows. - We value exposure to micro-frontend architecture and modular user interface development. - We need experience working in cloud environments, with AWS preferred, and integrating with backend services. - We need experience with CI/CD pipelines and tools such as CodePipeline, GitHub Actions, or Jenkins. - We need hands-on experience with automated testing tools, especially Playwright. - We require knowledge of web accessibility standards such as WCAG and secure coding practices. - We value familiarity with design systems and UI component libraries such as Bootstrap or Tailwind. - We need experience with containerization using Docker and modern build tools such as Webpack or Vite. - We value exposure to front-end observability tools for monitoring, such as Dynatrace. - A bachelors degree in Computer Science, Engineering, or a related discipline is preferred. - We prefer candidates with backend development experience in Java or Python. - Candidates must be authorized to work in the US without sponsorship, and we cannot support STEM OPT I-983 Training Plan endorsements for this role. πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’» Your responsibilities are: - We own end-to-end front-end architecture, design, development, and ongoing support for scalable, high-performance web applications built with modern UI frameworks, micro frontends, and cloud-native patterns. - We provide technical leadership within Scrum teams by defining and upholding UI architecture standards, coding conventions, and best practices aligned with enterprise architecture. - We serve as the front-end subject matter expert across applications, with deep knowledge of UI/UX patterns, component-driven development, accessibility, performance tuning, and cross-browser reliability. - We define and execute the front-end technical strategy, ensuring smooth integration with backend APIs, enterprise platforms, and distributed systems. - We lead the creation of reusable component libraries, design systems, and front-end frameworks that drive consistency and scalability across products. - We proactively identify and reduce technical risks tied to performance, scale, maintainability, and usability. - We promote modern engineering practices, including micro-frontends, server-side rendering, static site generation, and edge delivery. - We collaborate closely with UX, product, backend, and DevOps partners to deliver cohesive, high-quality digital experiences. - We champion automation throughout the front-end lifecycle, including testing, build, deployment, and monitoring. - We mentor engineers, including sourcing partners, on front-end technologies, clean code principles, and architectural design patterns. - We evaluate emerging technologies, frameworks, and tools to improve user experience and developer productivity. - We strengthen observability through front-end performance monitoring, logging, and error tracking. - We ensure alignment with DevOps practices, CI/CD pipelines, and engineering governance standards. - We communicate technical risks, tradeoffs, and delivery implications clearly and transparently. - We leverage AI-powered developer tools to speed up development, improve code quality, and boost team efficiency. - We build and integrate AI-enabled UI features such as conversational experiences, personalization, and intelligent recommendations. - We use AI-assisted testing for automated test generation, visual regression testing, and defect detection. - We apply AI for code generation, refactoring, documentation, and debugging while maintaining quality and security. - We drive AI-enhanced DevOps practices, including smarter code reviews, pipeline optimization, and anomaly detection. - We embed AI tools into documentation, onboarding, and developer workflows to support knowledge sharing. View this job and over 500 other transparent jobs with salaries (πŸ’°πŸ’°πŸ’°) & tech stacks (πŸ› οΈ) on DevITJobs Category: ML, AI Developer / Engineer Location address: Capitol Avenue 410, Hartford, United States Salary: $116,000 - 174,000 per year Benefits & perks that we offer: The Hartford - More about us and the role: We are a company committed to making a meaningful difference and to helping our people succeed both professionally and personally. Our Middle & Large Commercial IT team is looking for a highly motivated, detail-oriented, and results-driven Staff Software Engineer to support important investment-related assignments and end-to-end integrations with our Policy Administration system. This is a hybrid role with in-office expectations three days a week, Tuesday through Thursday, in Columbus, OH, Chicago, IL, Hartford, CT, or Charlotte, NC. We offer a total compensation package that may include base pay, bonuses, long-term incentives, and recognition, with an annualized base salary range of $116,000 to $174,000. We are an equal opportunity employer and welcome applicants from all backgrounds. Are you looking for ML, AI jobs in Hartford?

The market for this role in Hartford

TalentyGo lists 6520 similar roles (3 in Hartford), 24% remote. Charlie ranks them against your CV, each with a clear score.

Similar roles
6520
Remote
24%
New / 7d
155

Similar jobs

Senior Staff Accountant
πŸ“ Ontario Β· finance
Software Engineer, API Agents
πŸ“ San Francisco Β· tech
Software Engineer, Agent Productivity
πŸ“ San Francisco Β· Remote Β· tech
Frontend Engineer III, Moderation Enforcement
πŸ“ Remote - United States Β· Remote Β· tech
Software Engineer, API Multimodal
πŸ“ San Francisco Β· tech
Member of Technical Staff (iOS Engineer, Computer Growth)
πŸ“ San Francisco Β· tech
See all similar jobs β†’
Apply now β†’

TalentyGo is an aggregator of job postings from public sources. Always verify information directly with the company. Applications go through the original company website; TalentyGo does not manage hiring processes.