{"schemaVersion":"jobsearcher.job.v1","id":"03c66fb62c064d10ef29e4da","url":"https://jobsearcher.com/jobs/03c66fb62c064d10ef29e4da","canonicalUrl":"https://jobsearcher.com/jobs/03c66fb62c064d10ef29e4da","title":"Forward Deployed Engineer","description":"Forward Deployed EngineerLocation: RemoteTax Term (W2, C2C): Full TimeJob Type (Permanent/Contract): PermanentPay Range: $140,000 – $180,000 baseDescription: *** is looking for a Forward Deployed Engineer to sit at the intersection of our clients' data, systems, and AI-native solutions. This is not a back-office engineering role — you'll be embedded directly with client teams, translating messy real-world data and legacy systems into working AI-powered integrations, fast. We're specifically looking for someone who thinks like a builder-consultant. If you've spent your career inside traditional systems integrators shipping templated, slow-moving projects, this isn't the right fit. We want someone who's comfortable owning ambiguity, shipping fast, and adapting solutions live in front of a client.Role and Responsibilities:Deploy directly into client environments to build, integrate, and troubleshoot data and AI systems in real timeDesign and build fullstack applications with a strong data backbone — from UI down to the data layerBuild and maintain data integrations, APIs, and connectors across a wide range of client systems (CRMs, ERPs, internal tools, third-party platforms)Develop and deploy MCP (Model Context Protocol) servers/connectors to plug client data and tools into AI workflowsDesign data pipelines and engineering workflows that make client data usable, reliable, and AI-readyPrototype and productionize AI-powered features and agents using client dataWork directly with client stakeholders to scope, iterate, and troubleshoot — translating technical tradeoffs into plain languageOwn problems end-to-end: from ambiguous client ask, to architecture, to shipped solutionRequired Skills:Strong fullstack engineering skills, with a genuine data background (not just consuming APIs — understanding data modeling, pipelines, and quality issues)Hands-on experience with AI/LLM-powered application developmentExperience as a data engineer or working closely with data engineering: ETL/ELT, pipelines, data warehousingProven experience building data integrations, APIs, and connectors across disparate systemsFamiliarity with MCP (Model Context Protocol) or similar tool/connector frameworks for AI systemsComfort working directly with clients — presenting, troubleshooting live, adapting scope in real timeA builder mindset: bias toward shipping, comfortable with ambiguity, allergic to over-processQualifications:2–3 years of professional experience in software/data engineering rolesBachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent practical experience)Travel Requirements:This role requires travel within the United States as necessary to support client engagements, onsite deployments, and key project milestones. Travel frequency will vary by client and project phase.","company":"Apolis","rawCompany":"apolis","city":"Austin","state":"TX","isRemote":false,"isActive":true,"createdAt":"2026-10-03T03:44:32.654Z","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":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer","description":"Forward Deployed EngineerLocation: RemoteTax Term (W2, C2C): Full TimeJob Type (Permanent/Contract): PermanentPay Range: $140,000 – $180,000 baseDescription: *** is looking for a Forward Deployed Engineer to sit at the intersection of our clients' data, systems, and AI-native solutions. This is not a back-office engineering role — you'll be embedded directly with client teams, translating messy real-world data and legacy systems into working AI-powered integrations, fast. We're specifically looking for someone who thinks like a builder-consultant. If you've spent your career inside traditional systems integrators shipping templated, slow-moving projects, this isn't the right fit. We want someone who's comfortable owning ambiguity, shipping fast, and adapting solutions live in front of a client.Role and Responsibilities:Deploy directly into client environments to build, integrate, and troubleshoot data and AI systems in real timeDesign and build fullstack applications with a strong data backbone — from UI down to the data layerBuild and maintain data integrations, APIs, and connectors across a wide range of client systems (CRMs, ERPs, internal tools, third-party platforms)Develop and deploy MCP (Model Context Protocol) servers/connectors to plug client data and tools into AI workflowsDesign data pipelines and engineering workflows that make client data usable, reliable, and AI-readyPrototype and productionize AI-powered features and agents using client dataWork directly with client stakeholders to scope, iterate, and troubleshoot — translating technical tradeoffs into plain languageOwn problems end-to-end: from ambiguous client ask, to architecture, to shipped solutionRequired Skills:Strong fullstack engineering skills, with a genuine data background (not just consuming APIs — understanding data modeling, pipelines, and quality issues)Hands-on experience with AI/LLM-powered application developmentExperience as a data engineer or working closely with data engineering: ETL/ELT, pipelines, data warehousingProven experience building data integrations, APIs, and connectors across disparate systemsFamiliarity with MCP (Model Context Protocol) or similar tool/connector frameworks for AI systemsComfort working directly with clients — presenting, troubleshooting live, adapting scope in real timeA builder mindset: bias toward shipping, comfortable with ambiguity, allergic to over-processQualifications:2–3 years of professional experience in software/data engineering rolesBachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent practical experience)Travel Requirements:This role requires travel within the United States as necessary to support client engagements, onsite deployments, and key project milestones. Travel frequency will vary by client and project phase.","datePosted":"2026-10-03T03:44:32.654Z","dateModified":"2026-10-03T03:44:32.654Z","hiringOrganization":{"@type":"Organization","name":"Apolis","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"03c66fb62c064d10ef29e4da"},"url":"https://jobsearcher.com/jobs/03c66fb62c064d10ef29e4da"}}