{"schemaVersion":"jobsearcher.job.v1","id":"86e1addd530b7eae1da8818d","url":"https://jobsearcher.com/jobs/86e1addd530b7eae1da8818d","canonicalUrl":"https://jobsearcher.com/jobs/86e1addd530b7eae1da8818d","title":"Forward Deploy Engineer","description":"Forward Deployed Engineer – AI/ML\n\nLocation: McLean, VA / Washington, D.C. Metro Area\n\nWork Arrangement: Hybrid, 4 days per week onsite with local travel to client sites\n\nEmployment Type: Full-Time\n\nCompensation: $180,000–$230,000 base salary + competitive equity\n\nExperience: 4–6 years preferred\n\nVisa Sponsorship: Not available\n\nAbout the Role\n\nWe are seeking a Forward Deployed Engineer with strong Software Engineering and AI/ML experience to architect, build, and deploy production-grade AI systems supporting high-impact U.S. Government missions.\n\nThis is a highly technical, customer-facing engineering position. You will work directly with government partners to understand complex mission requirements and translate them into working AI-powered solutions.\n\nThe ideal candidate combines strong software engineering fundamentals with hands-on experience building modern LLM, RAG, agentic AI, and machine learning systems.\n\nWhat You'll Do\n\nArchitect, build, and deploy agentic AI systems for complex, high-stakes use cases\n\nDevelop multi-agent workflows, RAG pipelines, and tool-calling agents\n\nWork directly with government stakeholders to understand mission requirements and translate them into technical solutions\n\nBuild systems capable of analyzing large public and government datasets\n\nDevelop data pipelines and infrastructure supporting production AI/ML applications\n\nDesign reliable APIs, integrations, and backend services\n\nTake AI solutions from early prototype through production deployment\n\nEvaluate and improve LLM performance, retrieval quality, reliability, and system accuracy\n\nWork closely with a small engineering team in a fast-moving startup environment\n\nTravel locally throughout the Washington, D.C. area to federal agency and government client sites\n\nWhat We're Looking For\n\nApproximately 4–6 years of professional engineering experience\n\nStrong professional experience with Python\n\nCombination of Software Engineering and AI/ML experience\n\nHands-on experience building applications using LLMs\n\nProduction experience with Retrieval-Augmented Generation (RAG)\n\nExperience with agentic AI, AI agents, or multi-agent frameworks\n\nExperience building production data pipelines\n\nStrong understanding of ML infrastructure and production deployment\n\nAbility to design and ship software independently\n\nExperience translating ambiguous customer requirements into working technical solutions\n\nStrong written and verbal communication skills\n\nComfortable interacting directly with technical and non-technical stakeholders\n\nAbility to work onsite in McLean, VA four days per week\n\nAbility to travel locally to government client sites in the Washington, D.C. area\n\nMust be authorized to work in the United States without current or future visa sponsorship\n\nPreferred Experience\n\nExperience with several of the following is highly desirable:\n\nPython\n\nLarge Language Models (LLMs)\n\nRAG\n\nLangChain / LangGraph or similar frameworks\n\nMulti-Agent Frameworks\n\nTool Calling / Function Calling\n\nVector Databases\n\nData Pipelines\n\nDistributed Systems\n\nReinforcement Learning\n\nML Infrastructure\n\nCloud Infrastructure\n\nDocker / Kubernetes\n\nAPIs and Microservices\n\nAI evaluation and benchmarking\n\nExperience working with government agencies, defense organizations, regulated industries, or high-security environments is a plus.\n\nActive or previous U.S. Government security clearance is also a plus.\n\nWho Will Succeed in This Role\n\nYou may be a great fit if you're the type of engineer who enjoys doing more than writing code.\n\nYou like sitting with customers, understanding difficult problems, designing a solution, building it, deploying it, and seeing it used in the real world.\n\nYou should be comfortable operating in an early-stage environment where engineers have significant ownership and where requirements may evolve as you learn more about the customer's mission.\n\nPay: $180,000.00 - $230,000.00 per year\n\nBenefits:\n* 401(k)\n* Dental insurance\n* Flexible schedule\n* Retirement plan\n* Tuition reimbursement\n\nExperience:\n* Software Engineer: 5 years (Preferred)\n\nSecurity clearance:\n* Confidential (Preferred)\n\nWork Location: In person","company":"Consultadd","rawCompany":"consultadd","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-29T10:11:45.326Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deploy Engineer","description":"Forward Deployed Engineer – AI/ML\n\nLocation: McLean, VA / Washington, D.C. Metro Area\n\nWork Arrangement: Hybrid, 4 days per week onsite with local travel to client sites\n\nEmployment Type: Full-Time\n\nCompensation: $180,000–$230,000 base salary + competitive equity\n\nExperience: 4–6 years preferred\n\nVisa Sponsorship: Not available\n\nAbout the Role\n\nWe are seeking a Forward Deployed Engineer with strong Software Engineering and AI/ML experience to architect, build, and deploy production-grade AI systems supporting high-impact U.S. Government missions.\n\nThis is a highly technical, customer-facing engineering position. You will work directly with government partners to understand complex mission requirements and translate them into working AI-powered solutions.\n\nThe ideal candidate combines strong software engineering fundamentals with hands-on experience building modern LLM, RAG, agentic AI, and machine learning systems.\n\nWhat You'll Do\n\nArchitect, build, and deploy agentic AI systems for complex, high-stakes use cases\n\nDevelop multi-agent workflows, RAG pipelines, and tool-calling agents\n\nWork directly with government stakeholders to understand mission requirements and translate them into technical solutions\n\nBuild systems capable of analyzing large public and government datasets\n\nDevelop data pipelines and infrastructure supporting production AI/ML applications\n\nDesign reliable APIs, integrations, and backend services\n\nTake AI solutions from early prototype through production deployment\n\nEvaluate and improve LLM performance, retrieval quality, reliability, and system accuracy\n\nWork closely with a small engineering team in a fast-moving startup environment\n\nTravel locally throughout the Washington, D.C. area to federal agency and government client sites\n\nWhat We're Looking For\n\nApproximately 4–6 years of professional engineering experience\n\nStrong professional experience with Python\n\nCombination of Software Engineering and AI/ML experience\n\nHands-on experience building applications using LLMs\n\nProduction experience with Retrieval-Augmented Generation (RAG)\n\nExperience with agentic AI, AI agents, or multi-agent frameworks\n\nExperience building production data pipelines\n\nStrong understanding of ML infrastructure and production deployment\n\nAbility to design and ship software independently\n\nExperience translating ambiguous customer requirements into working technical solutions\n\nStrong written and verbal communication skills\n\nComfortable interacting directly with technical and non-technical stakeholders\n\nAbility to work onsite in McLean, VA four days per week\n\nAbility to travel locally to government client sites in the Washington, D.C. area\n\nMust be authorized to work in the United States without current or future visa sponsorship\n\nPreferred Experience\n\nExperience with several of the following is highly desirable:\n\nPython\n\nLarge Language Models (LLMs)\n\nRAG\n\nLangChain / LangGraph or similar frameworks\n\nMulti-Agent Frameworks\n\nTool Calling / Function Calling\n\nVector Databases\n\nData Pipelines\n\nDistributed Systems\n\nReinforcement Learning\n\nML Infrastructure\n\nCloud Infrastructure\n\nDocker / Kubernetes\n\nAPIs and Microservices\n\nAI evaluation and benchmarking\n\nExperience working with government agencies, defense organizations, regulated industries, or high-security environments is a plus.\n\nActive or previous U.S. Government security clearance is also a plus.\n\nWho Will Succeed in This Role\n\nYou may be a great fit if you're the type of engineer who enjoys doing more than writing code.\n\nYou like sitting with customers, understanding difficult problems, designing a solution, building it, deploying it, and seeing it used in the real world.\n\nYou should be comfortable operating in an early-stage environment where engineers have significant ownership and where requirements may evolve as you learn more about the customer's mission.\n\nPay: $180,000.00 - $230,000.00 per year\n\nBenefits:\n* 401(k)\n* Dental insurance\n* Flexible schedule\n* Retirement plan\n* Tuition reimbursement\n\nExperience:\n* Software Engineer: 5 years (Preferred)\n\nSecurity clearance:\n* Confidential (Preferred)\n\nWork Location: In person","datePosted":"2026-08-29T10:11:45.326Z","dateModified":"2026-08-29T10:11:45.326Z","hiringOrganization":{"@type":"Organization","name":"Consultadd","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"86e1addd530b7eae1da8818d"},"url":"https://jobsearcher.com/jobs/86e1addd530b7eae1da8818d"}}