{"schemaVersion":"jobsearcher.job.v1","id":"9b8cd5dcae2e263a18eb7c5c","url":"https://jobsearcher.com/jobs/9b8cd5dcae2e263a18eb7c5c","canonicalUrl":"https://jobsearcher.com/jobs/9b8cd5dcae2e263a18eb7c5c","title":"Full Stack Python Developer with AI [W2 Only-No H1b/CPT/OPT/Visa]","description":"Title: Senior AI/Full Stack Engineer Role (3 openings)Location: Boston, MA, and Minneapolis, MN (Locals only and MUST do 4X a week on-site)Duration: 12-24 monthsInterviews: 3 rounds, all virtual Visa: USC/Green Card OnlyNote: Candidates MUST come from large banking, financial, or investment type companies. Ideal Candidate: Senior full-stack engineer with Python, Typescript, JavaScript, NodeJS, AWS & then moved into an AI work.Job Details:The client is seeking a Senior AI Full Stack Engineer to lead the next phase of AI-enabled SDLC maturity across Investment Technology. This role is responsible for defining, building, and scaling AI-driven solutions across the software delivery lifecycle—leveraging Anthropic Cloud Code/or any other Claude–based capabilities, agentic workflows, and enterprise-grade GenAI platforms.Required QualificationsThey need some full-stack experience with Python, Node, JavaScript, Typescript, AWS.Experience working in financial services or highly regulated industries.Experience integrating GenAI into requirements management, testing automation, and SDLC controls.Familiarity with enterprise GenAI governance models, including model risk management and auditability.Thought leadership in AI platforms, automation, or engineering productivity initiatives.AI-Enabled SDLC TransformationDefine and execute a GenAI-augmented SDLC strategy, embedding AI across requirements, design, development, testing, deployment, and auditability.Drive spec-to-code, code-to-test, and test-to-deployment automation using LLM-powered workflows aligned to enterprise SDLC standards 1.Partner with Architecture, DevSecOps, Risk, and Compliance teams to ensure secure, governed, and auditable AI adoption.Design and deploy agentic AI workflows to automate:Requirements for elaboration and decompositionJira story and acceptance criteria generationUnit, integration, and UAT test generationSDLC artifact and control evidence creationEnterprise Platform EnablementIntegrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms).Establish reusable AI components, frameworks, and guardrails for product and engineering teams.Enable adoption through reference architectures, implementation patterns, and developer enablement.Value Realization & MeasurementIdentify and quantify productivity, quality, and cycle-time improvements driven by AI.Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction.Support executive visibility into AI-driven outcomes and maturity progress","company":"Stash Talent Services","rawCompany":"stash talent services","city":"Newton Center","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-07-11T12:26:33.116Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Python Developer with AI [W2 Only-No H1b/CPT/OPT/Visa]","description":"Title: Senior AI/Full Stack Engineer Role (3 openings)Location: Boston, MA, and Minneapolis, MN (Locals only and MUST do 4X a week on-site)Duration: 12-24 monthsInterviews: 3 rounds, all virtual Visa: USC/Green Card OnlyNote: Candidates MUST come from large banking, financial, or investment type companies. Ideal Candidate: Senior full-stack engineer with Python, Typescript, JavaScript, NodeJS, AWS & then moved into an AI work.Job Details:The client is seeking a Senior AI Full Stack Engineer to lead the next phase of AI-enabled SDLC maturity across Investment Technology. This role is responsible for defining, building, and scaling AI-driven solutions across the software delivery lifecycle—leveraging Anthropic Cloud Code/or any other Claude–based capabilities, agentic workflows, and enterprise-grade GenAI platforms.Required QualificationsThey need some full-stack experience with Python, Node, JavaScript, Typescript, AWS.Experience working in financial services or highly regulated industries.Experience integrating GenAI into requirements management, testing automation, and SDLC controls.Familiarity with enterprise GenAI governance models, including model risk management and auditability.Thought leadership in AI platforms, automation, or engineering productivity initiatives.AI-Enabled SDLC TransformationDefine and execute a GenAI-augmented SDLC strategy, embedding AI across requirements, design, development, testing, deployment, and auditability.Drive spec-to-code, code-to-test, and test-to-deployment automation using LLM-powered workflows aligned to enterprise SDLC standards 1.Partner with Architecture, DevSecOps, Risk, and Compliance teams to ensure secure, governed, and auditable AI adoption.Design and deploy agentic AI workflows to automate:Requirements for elaboration and decompositionJira story and acceptance criteria generationUnit, integration, and UAT test generationSDLC artifact and control evidence creationEnterprise Platform EnablementIntegrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms).Establish reusable AI components, frameworks, and guardrails for product and engineering teams.Enable adoption through reference architectures, implementation patterns, and developer enablement.Value Realization & MeasurementIdentify and quantify productivity, quality, and cycle-time improvements driven by AI.Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction.Support executive visibility into AI-driven outcomes and maturity progress","datePosted":"2026-07-11T12:26:33.116Z","dateModified":"2026-07-11T12:26:33.116Z","hiringOrganization":{"@type":"Organization","name":"Stash Talent Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Newton Center","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9b8cd5dcae2e263a18eb7c5c"},"url":"https://jobsearcher.com/jobs/9b8cd5dcae2e263a18eb7c5c"}}