{"id":963095,"url":"https://alion.io/job/lmisolutions-forward-deployed-engineer-clearance-required-3","title":"Forward Deployed Engineer - Clearance Required","company":{"id":721749,"name":"LMI","domain":"lmisolutions.com","url":"https://alion.io/company/lmisolutions","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0.333,"time_to_fill_p50_days":17,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":145000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GitLab","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Linux","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"OpenShift","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Unix","optional":false},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-16T12:05:29Z","employer_posted_date":"2026-09-20","last_verified_at":"2026-11-02T10:07:33Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Overview\nWe’re looking for a Forward Deployed Engineer to help deploy, extend, and integrate LIGER, an enterprise AI platform that connects knowledge, systems, and agentic workflows to accelerate outcomes across federal missions. You’ll join a small, cross-functional team working directly with customers to get LIGER into production and build the features that make it stick. This position can be supported in a hybrid/remote capacity as there may be on-site work required by the customer.\nThis is a customer-facing technical role. You’ll embed with customers for 60-180 days post-sale, configure deployments, build custom integrations, and ship features that solve real problems on the ground. You’ll also run proof-of-concept demonstrations, translate customer needs into working code, and feed insights back to the core product team. If you’re excited about building at the intersection of AI, government missions, and real users, keep reading. This position requires the ability to obtain a CBP Background Investigation; U.S. citizenship is required.\nLIGER sits within LMI’s Chief Technology Office. We’re a small, high-visibility team building AI tools for federal agencies. The culture is more startup than traditional government contractor; we move fast, solve problems in design spikes rather than scheduled reviews, and care more about outcomes than process. That said, we’re building for users who need reliability and trust, so craft and attention to detail matter.\nAs a Forward Deployed Engineer, you’ll work directly with customers while staying closely connected to the core product team. You’ll have real influence on what gets built and how it gets deployed.\nLMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.\nLeveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.\nResponsibilities\nWhat You’ll Do\nWork closely with customers to integrate the LIGER GenAI platform into their existing business processes\nBuild and ship features across the full stack: Angular/TypeScript frontend, Node.js/Python backend, PostgreSQL\nDesign and implement agentic workflows: tool-calling, multi-step reasoning pipelines, and the orchestration infrastructure that makes them reliable in customer environments\nBuild and maintain document processing pipelines supporting text extraction, chunking, metadata enrichment, indexing, and persistence for downstream semantic retrieval use cases\nEnsure successful deployment and initial configuration of the LIGER platform, supporting customers for 60-180 days post-sale before transitioning the deployment to a long-term project team\nConduct proof-of-concept demonstrations to showcase LIGER’s capabilities and its value to potential and existing customers\nRapidly build features into or around LIGER’s core platform to meet customer-specific needs, working closely with the core product team to integrate new features into the product\nDocument and communicate customer requirements and feedback to ensure continuous improvement and alignment with customer priorities\nEngage directly with customers in various formats, including in-person, hybrid, or remote work as required by the customer\nTravel occasionally to customer locations within the United States for direct engagements and support\nWork collaboratively with internal teams including product management, engineering, and support to deliver seamless solutions to customers\nQualifications\nWhat We’re Looking For\nThis position requires the ability to obtain a CBP Background Investigation; U.S. citizenship is required.\n3+ years of full stack development experience, comfortable owning both frontend and backend\nProficiency in Angular and TypeScript on the frontend\nSolid backend experience in Node.js and/or Python\nExperience using PostgreSQL to store, retrieve, and manage structured application data, with experience in database design and SQL development\nHands-on experience building with LLMs (prompt engineering, API integration, tool use, and managing model outputs in production)\nFamiliarity with agentic patterns: orchestration, tool-calling, retrieval-augmented generation (RAG), or multi-step agent flows\nExperience designing and developing RESTful APIs and backend services\nActive use of AI-assisted development tools in your day-to-day coding workflow\nStrong knowledge of containerization technologies (e.g. Docker) and CI/CD pipelines, specifically with GitLab\nFamiliarity with cloud computing deployment models, especially AWS GovCloud and/or working within a federal environment\nExcellent communication and interpersonal skills, with the ability to interact effectively with multiple stakeholders, including senior executives from government and industry\nAbility to manage multiple tasks in a fast-paced environment and prioritize effectively\nWhat Will Set You Apart\nBackground in NLP, computational linguistics, or data science, with hands-on experience in text extraction, entity recognition, embeddings, semantic search, or related techniques\nExperience building scalable document processing pipelines supporting text extraction, chunking, metadata enrichment, indexing, and persistence for downstream semantic retrieval use cases\nExperience with Model Context Protocol (MCP): building servers, defining tools, or integrating MCP into an agent stack\nFamiliarity with frameworks like LangChain, LlamaIndex, or similar orchestration tools\nA portfolio of side projects, open-source contributions, or other evidence of a builder’s disposition\nDemonstrated fluency with AI coding tools and a workflow that treats them as force multipliers\nProven ability to work quickly and independently as part of a small team of engineers to deliver high-quality, tailored solutions\nExperience in sales engineering within the federal government sector, with a deep understanding of federal customers’ unique challenges and requirements\nBackground working on AI-native products or internal tooling where models are core to the user experience, not bolted on\nFamiliarity with federal cybersecurity requirements and vulnerability management concepts\nFamiliarity with container orchestration engines such as Kubernetes (e.g., EKS, AKS, GKE, OpenShift)\nStrong background in Unix/Linux operating systems\nKnowledge of AWS products and capabilities, with specific experience in GovCloud environments\nAbility to clearly communicate the value and benefits of technical solutions to non-technical audiences\nTarget salary range: $145,000 - $210,000\nDisclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.\nJob Locations\nUS-DC-Washington, DC","description_format":"text","description_chars":7514,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Military","LLM & Generative AI"],"lifecycle":[{"event":"open","at":"2026-09-16T12:05:29Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.576,"p_room":0.28,"age_days":46,"expected_fill_days":17,"reasons":["conf:0","wave","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":210000,"is_top_pay":true},"html_url":"https://alion.io/job/lmisolutions-forward-deployed-engineer-clearance-required-3","json_url":"https://alion.io/job/lmisolutions-forward-deployed-engineer-clearance-required-3.json","meta":{"generated_at":"2026-11-02T14:12:46Z","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":19532,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":721749},"rest":"https://alion.io/mcp/rest/get_company?id=721749"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flmisolutions-forward-deployed-engineer-clearance-required-3"},{"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%2Flmisolutions-forward-deployed-engineer-clearance-required-3"},{"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%2Flmisolutions-forward-deployed-engineer-clearance-required-3"},{"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/lmisolutions-forward-deployed-engineer-clearance-required-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flmisolutions-forward-deployed-engineer-clearance-required-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":963095}},{"tool":"search_jobs","arguments":{"company":"lmisolutions.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":963095},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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