{"id":119214,"url":"https://alion.io/job/langchain-deployed-engineer-federal","title":"Deployed Engineer (Federal)","company":{"id":4855,"name":"LangChain","domain":"langchain.com","url":"https://alion.io/company/langchain","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":90,"open_postings":49,"ghost_share":0,"stale_share":0.184,"repost_share":0,"time_to_fill_p50_days":72,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Washington, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":101000,"max_usd":205000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cloudflare","optional":false},{"name":"FedRAMP","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Monday.com","optional":false},{"name":"Python","optional":false},{"name":"Kubernetes","optional":true},{"name":"Replit","optional":true}],"status":"live","first_seen_at":"2026-08-24T17:25:07Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-16T12:18:03Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":52},"description":"About Us\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\nAbout Us\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\nAbout the Team\nThe LangChain Deployed Engineering - Federal team works directly with U.S. Government customers - including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) - who are building and operating AI agents in mission-critical environments.\nThis is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle - from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite.\nDeployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform.\nAbout the Role\nAs a Deployed Engineer, you’ll work on some of the hardest problems in applied AI - not demos or experimental research, but production systems supporting real-world missions.\nYou’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape.\nYou will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor.\nWhat You’ll Do\nCo-architect and co-build production AI agents with federal engineering teams and system integrators\n\nOwn the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations\n\nDesign architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2-IL6, NIST, etc.)\n\nHelp agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows\n\nAdvise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions\n\nDeliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences\n\nPartner with security teams to navigate ATO processes and accreditation pathways\n\nSurface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies\n\nOccasionally contribute code upstream when it meaningfully improves federal customer outcomes\n\nWhat You’ll Bring\nMust have zctive or prior U.S. security clearance (Secret, TS/SCI)\n\n3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers\n\nExperience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators\n\nStrong Python and JavaScript fundamentals, with deep systems thinking\n\nExperience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling\n\nFamiliarity with secure cloud environments (AWS GovCloud, Azure Government, etc.)\n\nComfort operating in regulated environments with security, compliance, and documentation requirements\n\nExperience supporting technical evaluations, architecture reviews, and competitive down-select processes\n\nAbility to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership\n\nOwnership mindset - you take responsibility for mission outcomes, not just recommendations\n\nBias toward action and comfort operating in ambiguity\n\nExcitement about running AI agents in real-world, production federal environments - not just building demos\n\nNice to Have\nExperience deploying AI systems in classified or air-gapped environments\n\nFamiliarity with FedRAMP authorization processes or DoD Impact Levels (IL2-IL6)\n\nExperience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings\n\nHands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures\n\nExperience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.)\n\nProduction experience with LangChain, LangGraph, or similar agent frameworks\n\nCompensation & Benefits\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\nAnnual OTE range: $185,000-$300,000 USD\nCompensation Philosophy:\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\nBenefits\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","description_format":"text","description_chars":8279,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":true,"languages":[]},"benefits":["Equity","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Washington","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","AI Agents","AI Development Tools","AI Evaluation & Observability"],"lifecycle":[{"event":"open","at":"2026-08-24T17:25:07Z"},{"event":"open","at":"2026-08-30T23:36:32Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 17","filings_12m":17,"filings_prev_12m":2,"green_card_filings_12m":0,"median_offered_wage_usd":172500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":2}],"liveness":{"score":48,"band":"ok","label":"Likely open","p_open":1,"p_active":0.793,"p_room":0.6,"age_days":52,"expected_fill_days":72,"reasons":["conf:2","velocity","win:late","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/langchain-deployed-engineer-federal","json_url":"https://alion.io/job/langchain-deployed-engineer-federal.json","meta":{"generated_at":"2026-10-16T13:21:06Z","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":12829,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":4855},"rest":"https://alion.io/mcp/rest/get_company?id=4855"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flangchain-deployed-engineer-federal"},{"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%2Flangchain-deployed-engineer-federal"},{"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%2Flangchain-deployed-engineer-federal"},{"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/langchain-deployed-engineer-federal\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flangchain-deployed-engineer-federal"}]}