{"id":4331384,"url":"https://alion.io/job/true-talent-solutions-partners-staff-full-stack-engineer-core-application-4","title":"Staff Full-Stack Engineer, Core Application","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":240000,"max":275000,"currency":"USD","period":"year","gross":null,"usd_annual":275000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"DynamoDB","optional":false},{"name":"Flask","optional":false},{"name":"Master Data Management","optional":false},{"name":"Nest.JS","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-15T01:47:42Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T07:00:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin the product engineering team building an AI-native application for scientific research and development. You will own work across the data model, backend services, and user experience, connecting core scientific workflows with AI capabilities.\nWhat You'll Do\nBuild the core application end to end using TypeScript, NestJS, and React.\n\nCreate dynamic interfaces that AI agents can populate, update with recommendations, and use to guide scientists through workflows.\n\nConnect system-of-record capabilities, including formulation, synthesis, master data management, administration, and process development, with the AI layer in a GxP environment.\n\nDesign scalable enterprise systems with permission-based access control and zero-downtime migrations across DynamoDB, Databricks, and Python Flask services.\n\nOwn features from specification through iteration in partnership with product, design, and customers, and help establish AI-driven development practices.\n\nWhat We're Looking For\nSix to ten years of full-stack product engineering experience, with sustained ownership of architecture and scope appropriate to a Staff-level role.\n\nStrong experience with React, TypeScript, and Python, plus Node.js, NestJS, or Flask.\n\nExperience owning full-stack features or products and leading work from specification through iteration.\n\nEvidence of shipping AI features or integrations to real users; experience with agentic UI generation is valuable.\n\nAbility to work autonomously and make product-oriented decisions beyond executing tickets.\n\nExperience in AI or developer-tools product engineering and strong computer science fundamentals.\n\nCompensation & Benefits\nBase salary: $240,000 to $275,000 annually. 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