{"id":1353904,"url":"https://alion.io/job/the-hartford-full-stack-staff-software-engineer-ai-augmented-development","title":"Full Stack Staff Software Engineer — AI-Augmented Development","company":{"id":1760358,"name":"The Hartford","domain":"thehartford.com","url":"https://alion.io/company/thehartford-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":25,"ghost_share":0,"stale_share":0.88,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Charlotte, United States","Hartford, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":116000,"max":174000,"currency":"USD","period":"year","gross":null,"usd_annual":174000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Angular","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"CrewAI","optional":false},{"name":"Cursor","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"GraphQL","optional":false},{"name":"gRPC","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"AutoGen","optional":true},{"name":"C#","optional":true},{"name":"Java","optional":true},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-06-25T00:00:00Z","employer_posted_date":"2026-06-25","last_verified_at":"2026-10-05T01:32:02Z","board_verified":true,"closed_at":null,"days_open":102,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":101},"description":"Staff Software Engineer - IE07IEWe’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.\nA new role can expand your knowledge and your network, and help you learn more about our business. If you think this opportunity is a fit for your career you should apply. If you are not sure you can have a conversation with your manager.\nFull Stack Staff Software Engineer- AI-Augmented Development\nPosition Summary\nWe are seeking a highly skilled Full Stack Staff Software Engineer who combines deep software engineering expertise with advanced proficiency in AI-powered development tools. This role is focused on hands-on building and delivery - a practitioner who ships production-quality code end-to-end across the stack while leveraging AI to accelerate development velocity, improve code quality, and drive innovation.\nThis role follows a hybrid work schedule. Candidates who live near one of our office locations are expected to work in the office three days per week, Tuesday through Thursday.\nKey Responsibilities\nHands-On Build & Delivery\nOwn features from concept through production release, writing and shipping high-quality code daily\n\nBuild, test, deploy, and iterate rapidly across frontend, backend, APIs, and data layers\n\nTroubleshoot and resolve production issues, performance bottlenecks, and complex bugs\n\nImplement and maintain CI/CD pipelines, automated testing, and deployment automation\n\nContribute to architectural decisions and design discussions as a practitioner, ensuring designs translate into solid implementations\n\nOwn system reliability, performance, and security for the services you build\n\nFull Stack Implementation\nBuild and ship modern frontend applications using frameworks such as React, Angular, or Vue.js with TypeScript\n\nDevelop, deploy, and operate robust backend services using Java (Spring Boot), Node.js, Python, or .NET\n\nImplement and optimize RESTful APIs, GraphQL endpoints, and event-driven integrations\n\nConfigure and manage cloud-native infrastructure (AWS or GCP) including containers, serverless, and infrastructure-as-code\n\nBuild and tune data layers across relational and NoSQL databases, caching, and message queues\n\nWrite clean, well-tested, production-ready code with a focus on maintainability and operational excellence\n\nAI-Augmented Development\nLeverage AI coding assistants (GitHub Copilot, Cursor, Claude Opus, etc.) to dramatically accelerate development workflows\n\nUse AI tools for code generation, refactoring, test writing, documentation, and code review\n\nIntegrate large language model (LLM) APIs and AI/ML services into applications (e.g., OpenAI, GCP Vertex, AWS Bedrock)\n\nDesign and implement RAG (Retrieval-Augmented Generation) pipelines, prompt engineering strategies, and AI-powered features\n\nEvaluate, select, and champion AI tools and practices that improve team productivity\n\nDevelop custom agents, workflows, and automations using AI platforms and frameworks (Vertex Studio, Semantic Kernel, CrewAI, etc.)\n\nEstablish guardrails, security practices, and governance for responsible AI usage in engineering\n\nTechnical Leadership & Mentorship\nInfluence engineering culture by evangelizing AI-augmented development practices\n\nTrain and upskill team members on effective use of AI tools in their daily workflows\n\nContribute to internal knowledge bases, tech talks, and communities of practice\n\nPartner with product, design, and data science teams to identify AI-driven opportunities\n\nRequired Qualifications\nExperience: 10+ years of professional software engineering experience, with 5+ years in hands-on full stack tech lead roles\n\nEducation: Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)\n\nFrontend: Expert-level proficiency building production applications with modern JavaScript/TypeScript frameworks (React, Angular), HTML5, CSS3, responsive design, and accessibility standards\n\nBackend: Deep hands-on experience building and operating services with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django\n\nCloud & DevOps: Strong hands-on experience deploying and operating on cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and CI/CD tooling (Jenkins, GitHub Actions, GitLab CI)\n\nData: Proficiency building and optimizing data layers with SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB, Redis), data modeling, and query tuning\n\nAPI Implementation: Proven track record building RESTful APIs, GraphQL services, gRPC endpoints, or event-driven integrations (Kafka, RabbitMQ)\n\nAI Tools Proficiency:\nAdvanced daily usage of AI coding assistants (GitHub Copilot, Cursor, or equivalent)\n\nExperience integrating LLM APIs (OpenAI, Anthropic, GCP Vertex Service) into production applications\n\nFamiliarity with prompt engineering, fine-tuning, embeddings, and vector databases\n\nTrack record of measurably improving team velocity through AI tool adoption\n\nTesting: Strong testing practices including unit, integration, and end-to-end testing with modern frameworks\n\nArchitecture: Working knowledge of distributed systems, microservices, and event-driven patterns; ability to contribute to and implement architectural designs\n\nPreferred Qualifications\nExperience building AI/ML-powered product features (chatbots, intelligent search, recommendation engines, content generation)\n\nFamiliarity with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI)\n\nExperience with agent-based AI architectures and autonomous workflows\n\nContributions to open-source projects or published technical content\n\nExperience in regulated industries (insurance, finance, healthcare) with security and compliance requirements\n\nCertifications in cloud platforms (AWS Solutions Architect, GCP Professional Cloud Architect, etc.)\n\nTechnical Competencies:\nDomain Expected Proficiency\nFrontend Development: Advanced\nBackend Development: Expert\nCloud & Infrastructure: Advanced\nCI/CD & DevOps: Advanced\nSystem Design & Architecture: Advanced\nAI Tools & Copilots: Expert\nLLM Integration & Prompt Engineering: Advanced\nSecurity & Compliance: Advanced\nTesting & Quality: Expert\nMentorship & Leadership: Advanced\nThis role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).\nCandidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.\nCompensation\nThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:\n$116,000 - $174,000Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/SexualOrientation/Gender Identity or Expression/Religion/Age\nAbout Us | Our Culture | What It’s Like to Work Here | Perks & Benefits","description_format":"text","description_chars":7511,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual bonuses","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Property & Casualty Insurance","Pet Food, Supplies & Care"],"lifecycle":[{"event":"open","at":"2026-09-27T21:19:15Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.405,"p_room":0.28,"age_days":101,"expected_fill_days":22,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":174000,"is_top_pay":false},"html_url":"https://alion.io/job/the-hartford-full-stack-staff-software-engineer-ai-augmented-development","json_url":"https://alion.io/job/the-hartford-full-stack-staff-software-engineer-ai-augmented-development.json","meta":{"generated_at":"2026-10-05T01:41:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2269,"day_limit":5000,"remaining_today":2731,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}