{"schemaVersion":"jobsearcher.job.v1","id":"d64016f6c23b456ff54f3605","url":"https://jobsearcher.com/jobs/d64016f6c23b456ff54f3605","canonicalUrl":"https://jobsearcher.com/jobs/d64016f6c23b456ff54f3605","title":"Forward Deployed Engineer","description":"We are building a new kind of AI deployment team: technical operators who can sit inside a customer’s business, understand how work actually happens, and turn messy operational problems into shipped AI systems.\n\nAs a Forward Deployed Engineer, you will work directly with customers, executives, operators, and internal engineering teams to identify high-leverage workflows, design AI-native solutions, and deploy production-grade systems that create measurable business outcomes.\n\nThis is not a pure software engineering role. It is also not a pure consulting role.\n\nYou need to be technical enough to build, debug, and ship real systems — and business-minded enough to understand the customer’s incentives, constraints, workflows, and definition of success.\n\nThe best people for this role are part engineer, part product thinker, part operator, and part customer translator.\n\nThe position is located in Miami and will require onsite meetings at our office in the Wynwood neighborhood. Mondays and Wednesdays are required in-office work days.\n\nWhat You’ll Do\n\nEmbed with customers to understand their business, workflows, data, tools, and operational bottlenecks.\n\nTranslate ambiguous business problems into clear technical requirements, system designs, implementation plans, and success metrics.\n\nBuild and deploy AI-powered workflows, agents, automations, integrations, dashboards, and internal tools.\n\nWork across APIs, databases, LLMs, retrieval systems, automation platforms, and customer software stacks.\n\nPrototype quickly, validate with users, and iterate based on real-world feedback.\n\nPartner with internal engineers to scope, prioritize, and ship production-ready systems.\n\nLead customer-facing technical conversations, including discovery, calibration, implementation updates, and handoff.\n\nIdentify where AI is useful, where it is not, and how to design systems that fit into human workflows.\n\nDocument systems clearly so customers and internal teams can operate, maintain, and improve them.\n\nAct as the connective tissue between customer needs, business outcomes, and technical execution.\n\nWhat You’ll Bring\n\nWe are looking for people who can operate in ambiguity and create clarity.\n\nYou should be comfortable walking into a customer environment where the problem is not fully defined, the data is messy, the workflow is undocumented, and the stakeholders are still figuring out what they actually need.\n\nYou should be able to ask sharp questions, map the system, identify the bottleneck, and build the first useful version fast.\n\nYou should have strong technical fundamentals, but you do not need to be a specialist in every part of the stack. What matters most is your ability to learn quickly, make sound technical decisions, and ship practical systems.\n\nRequired Skills\n\nExperience building with APIs, databases, internal tools, workflow automation, or production software systems.\n\nHands‑on experience with AI/LLM tools, including OpenAI, Anthropic, LangChain, LangGraph, RAG systems, agents, evals, or similar frameworks.\n\nAbility to understand business processes and translate them into technical systems.\n\nStrong communication skills with both technical and non‑technical stakeholders.\n\nComfort working directly with customers and asking questions that uncover the real problem.\n\nAbility to move quickly from discovery to prototype to production.\n\nStrong judgment around trade‑offs, reliability, security, data quality, and user experience.\n\nClear written communication, including documentation, implementation plans, and customer updates.\n\nNice to Have\n\nExperience in consulting, solutions engineering, technical product management, startup operations, or customer‑facing engineering.\n\nExperience with CRM, sales, marketing, recruiting, support, finance, or operations workflows.\n\nExperience with cloud infrastructure, containers, orchestration, observability, or data pipelines.\n\nExperience building internal tools, dashboards, agents, or automation systems for non‑technical teams.\n\nExperience working in fast‑moving startup or client‑service environments.\n\n#J-18808-Ljbffr","company":"Terminal","rawCompany":"terminal","city":"Doral","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:41:16.042Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"41-9031.00","title":"Sales Engineers","slug":"sales-engineers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer","description":"We are building a new kind of AI deployment team: technical operators who can sit inside a customer’s business, understand how work actually happens, and turn messy operational problems into shipped AI systems.\n\nAs a Forward Deployed Engineer, you will work directly with customers, executives, operators, and internal engineering teams to identify high-leverage workflows, design AI-native solutions, and deploy production-grade systems that create measurable business outcomes.\n\nThis is not a pure software engineering role. It is also not a pure consulting role.\n\nYou need to be technical enough to build, debug, and ship real systems — and business-minded enough to understand the customer’s incentives, constraints, workflows, and definition of success.\n\nThe best people for this role are part engineer, part product thinker, part operator, and part customer translator.\n\nThe position is located in Miami and will require onsite meetings at our office in the Wynwood neighborhood. Mondays and Wednesdays are required in-office work days.\n\nWhat You’ll Do\n\nEmbed with customers to understand their business, workflows, data, tools, and operational bottlenecks.\n\nTranslate ambiguous business problems into clear technical requirements, system designs, implementation plans, and success metrics.\n\nBuild and deploy AI-powered workflows, agents, automations, integrations, dashboards, and internal tools.\n\nWork across APIs, databases, LLMs, retrieval systems, automation platforms, and customer software stacks.\n\nPrototype quickly, validate with users, and iterate based on real-world feedback.\n\nPartner with internal engineers to scope, prioritize, and ship production-ready systems.\n\nLead customer-facing technical conversations, including discovery, calibration, implementation updates, and handoff.\n\nIdentify where AI is useful, where it is not, and how to design systems that fit into human workflows.\n\nDocument systems clearly so customers and internal teams can operate, maintain, and improve them.\n\nAct as the connective tissue between customer needs, business outcomes, and technical execution.\n\nWhat You’ll Bring\n\nWe are looking for people who can operate in ambiguity and create clarity.\n\nYou should be comfortable walking into a customer environment where the problem is not fully defined, the data is messy, the workflow is undocumented, and the stakeholders are still figuring out what they actually need.\n\nYou should be able to ask sharp questions, map the system, identify the bottleneck, and build the first useful version fast.\n\nYou should have strong technical fundamentals, but you do not need to be a specialist in every part of the stack. What matters most is your ability to learn quickly, make sound technical decisions, and ship practical systems.\n\nRequired Skills\n\nExperience building with APIs, databases, internal tools, workflow automation, or production software systems.\n\nHands‑on experience with AI/LLM tools, including OpenAI, Anthropic, LangChain, LangGraph, RAG systems, agents, evals, or similar frameworks.\n\nAbility to understand business processes and translate them into technical systems.\n\nStrong communication skills with both technical and non‑technical stakeholders.\n\nComfort working directly with customers and asking questions that uncover the real problem.\n\nAbility to move quickly from discovery to prototype to production.\n\nStrong judgment around trade‑offs, reliability, security, data quality, and user experience.\n\nClear written communication, including documentation, implementation plans, and customer updates.\n\nNice to Have\n\nExperience in consulting, solutions engineering, technical product management, startup operations, or customer‑facing engineering.\n\nExperience with CRM, sales, marketing, recruiting, support, finance, or operations workflows.\n\nExperience with cloud infrastructure, containers, orchestration, observability, or data pipelines.\n\nExperience building internal tools, dashboards, agents, or automation systems for non‑technical teams.\n\nExperience working in fast‑moving startup or client‑service environments.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:41:16.042Z","dateModified":"2026-07-16T03:41:16.042Z","hiringOrganization":{"@type":"Organization","name":"Terminal","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Doral","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d64016f6c23b456ff54f3605"},"url":"https://jobsearcher.com/jobs/d64016f6c23b456ff54f3605"}}