{"id":84377,"url":"https://alion.io/job/lts-senior-front-end-agentic-ai-engineer-2","title":"Senior Front-End Agentic AI Engineer","company":{"id":3483,"name":"LTS","domain":"lts.com","url":"https://alion.io/company/lts","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Frontend","role_family":"Frontend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":167500,"max":203900,"currency":"USD","period":"year","gross":null,"usd_annual":203900},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"FedRAMP","optional":false},{"name":"GraphQL","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"tRPC","optional":false},{"name":"TypeScript","optional":false},{"name":"WebSockets","optional":false},{"name":"Zero Trust","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Embeddings","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-07-30T16:47:17Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-25T12:28:29Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":86},"description":"United States - Remote\nClearance: Ability to obtain and maintain a Public Trust\nLTS is seeking a Senior Front-End Agentic AI Engineer to own the experience layer of an AI platform built for one of the most consequential legacy systems still running in production today.\nOur platform enables engineers to ask questions in plain English and receive explainable, verifiable answers traced directly back to the exact lines of source code. Rather than replacing engineers, we're building AI that helps them understand decades of complex software faster, with complete transparency and confidence.\nWe're building an AI-native engineering platform supporting the modernization of mission-critical healthcare systems serving millions of Veterans nationwide. Every response generated by the platform must be explainable, traceable, and trustworthy. The front end is where that trust is earned.\nThe platform is designed for deployment across federal enterprise environments and is being engineered to align with FedRAMP security controls, Zero Trust principles, and federal compliance requirements.\nWhen an engineer asks a question about a decades-old codebase, your interface determines whether they trust the answer or close the tab. You'll own that experience from end to end.\nThe product has executive sponsorship, committed users, a clearly defined mission, and a customer who knows exactly what success looks like.\nOur engineering team is intentionally small. Every engineer has significant ownership, meaningful influence over product direction, and the opportunity to help define how engineers interact with AI.\nWe don't simply build AI-powered software-we build software with AI. This is not another chatbot.\nUsing AI agents, LLMs, parallel workflows, and model-assisted development is simply how we engineer.\nWhat You’ll Do:\nOwn the end-to-end front-end experience for an enterprise-scale Agentic AI platform.\nDesign intuitive interfaces that transform complex AI reasoning into experiences engineers’ trust.\nBuild and maintain conversational interfaces, embedded AI assistants, review workflows, and authoring experiences using React, TypeScript, and modern front-end technologies.\nDevelop the rendering pipeline for streaming AI responses, markdown, source citations, code blocks, dependency graphs, workflow visualizations, and technical documentation.\nBuild evidence and traceability experiences that allow users to validate AI-generated answers by navigating directly to source code, documentation, and supporting artifacts.\nDesign interaction patterns for agentic workflows, including multi-step reasoning, tool execution, progress visualization, human-in-the-loop review, and long-running AI tasks.\nBuild responsive real-time user experiences using WebSockets, streaming APIs, and modern state management patterns.\nPartner closely with AI engineers to define how agent output is translated into intuitive user experiences.\nCollaborate with product managers, UX designers, architects, and platform engineers to rapidly prototype, validate, and deliver new capabilities.\nBuild scalable component libraries and reusable design systems supporting future platform growth.\nOptimize performance, accessibility, responsiveness, and usability across enterprise environments, including Section 508 compliance.\nInstrument the application with analytics, observability, and client-side monitoring to continuously improve user experience.\nUse AI-native engineering workflows to accelerate development, improve software quality, and increase engineering velocity.\nWhat We’re Looking For:\nBachelor's degree in Computer Science, Software Engineering, or related discipline (or equivalent professional experience).\n7+ years of professional front-end software engineering experience building production web applications.\nExpert-level proficiency with React, TypeScript, modern JavaScript, and contemporary front-end architecture.\nExperience building highly interactive, data-rich user interfaces.\nStrong understanding of component architecture, state management, and scalable front-end engineering.\nExperience building real-time user experiences using streaming APIs, WebSockets, or Server-Sent Events.\nExperience consuming complex REST, GraphQL, tRPC, or comparable typed APIs.\nExperience collaborating closely with backend engineers, designers, and product teams in Agile environments.\nExcellent communication skills and the ability to explain technical decisions clearly across engineering and business stakeholders.\nMindset of a product engineer rather than a feature developer.\nEngineers capable of building software from first principles.\nPassion for usability, interaction design, and developer experience.\nStrong ability to carefully analyze requirements before writing code.\nPreference for ownership over narrowly defined responsibilities.\nExperience operating across the client/server boundary when necessary.\nExpertise using AI coding assistants, parallel agents, and model-driven development workflows.\nEfficiency while maintaining high engineering standards.\nInnate ability to solve difficult engineering problems that don't have obvious solutions.\nNice to Have:\nExperience in healthcare, regulated industries, or large-scale enterprise modernization programs is a plus.\nExperience building AI-native products, LLM-powered applications, or agentic AI systems.\nExperience designing interfaces for AI assistants, copilots, developer tools, or knowledge platforms.\nFamiliarity with Retrieval-Augmented Generation (RAG), vector search, embeddings, or agent orchestration frameworks.\nExperience rendering complex technical content including markdown, syntax highlighting, dependency graphs, diagrams, or code relationships.\nExperience developing products for software engineers or other highly technical users.\nExperience with cloud-native platforms including AWS or Azure.\nExperience building design systems or reusable component libraries.\nFamiliarity with accessibility standards including Section 508 and WCAG.\nExperience using AI coding assistants and parallel AI workflows as part of daily software development.\nWhy Join LTS?\nAt LTS, we support impactful programs that directly improve healthcare services for Veterans nationwide. Our teams work on innovative modernization initiatives that help transform legacy systems into secure, scalable, and mission-focused digital solutions. We value collaboration, integrity, and professional growth while empowering employees to contribute to meaningful federal healthcare missions.\nPay Range\n$167,500—$203,900 USD\nLTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements.\nLTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.","description_format":"text","description_chars":6932,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Civil Defense","IT Consulting & Digital Transformation","Occupational Health"],"lifecycle":[{"event":"open","at":"2026-07-30T16:47:17Z"}],"visa":[],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.671,"p_room":0.36,"age_days":86,"expected_fill_days":52,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":203900,"is_top_pay":true},"html_url":"https://alion.io/job/lts-senior-front-end-agentic-ai-engineer-2","json_url":"https://alion.io/job/lts-senior-front-end-agentic-ai-engineer-2.json","meta":{"generated_at":"2026-10-25T13:46:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19657,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3483},"rest":"https://alion.io/mcp/rest/get_company?id=3483"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flts-senior-front-end-agentic-ai-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flts-senior-front-end-agentic-ai-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flts-senior-front-end-agentic-ai-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lts-senior-front-end-agentic-ai-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flts-senior-front-end-agentic-ai-engineer-2"}]}