{"schemaVersion":"jobsearcher.job.v1","id":"1346b2680abdfe0f3fcbe6fa","url":"https://jobsearcher.com/jobs/1346b2680abdfe0f3fcbe6fa","canonicalUrl":"https://jobsearcher.com/jobs/1346b2680abdfe0f3fcbe6fa","title":"Associate Forward Deployed Engineer","description":"Associate Forward Deployed Engineer\n\nAbout Us\nEliza is a technology services company and Advanced-tier OpenAI partner that’s dedicated to helping organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to bring real-world AI applications to life. Our projects combine deep technical expertise with hands-on client collaboration to solve high-impact problems.\nRole Overview\nThe Associate Forward Deployed Engineer (Associate FDE) is an entry point to our delivery team that grows into full ownership of client-facing AI engagements. Associate FDEs work alongside our Lead and Senior Forward Deployed Engineers on live client work—contributing directly to the technical build, joining client conversations from requirements gathering through proof-of-concept and delivery, and taking on scoped client-facing assignments as readiness grows.\nYou will rotate across engagements rather than sitting on one account, which means exposure to several senior engineers, several industries, and several kinds of hard problems in your first year. Alongside client work, Associate FDEs identify, build, and present internal AI use cases that improve how Eliza itself operates—real problems you own end-to-end, with real users.\nThis is a deliberate entry point into forward-deployed engineering. The role is structured so that engineers who consistently meet our delivery bar build toward independently owning client engagements.\n\nKey Responsibilities\n1. Contribute to Client-Facing Solution Delivery\nBuild and test components of custom AI systems—model integrations, data pipelines, APIs, and deployment tooling—under senior technical direction.\nParticipate in client sessions across the engagement lifecycle: requirements gathering, prototype reviews, technical working sessions, and delivery readouts.\nTake direct ownership of scoped client-facing assignments, with responsibility growing over your first several months.\nPrototype rapidly and iterate against real client feedback.\n2. Own Internal AI Use Cases\nProactively identify opportunities to apply AI within Eliza's own operating rhythms.\nScope, build, and present high-impact internal solutions end-to-end.\nUse that work to build the judgment, communication, and delivery instincts client ownership requires.\n3. Build Technical Craft\nWrite clean, reviewable code and respond productively to technical review.\nLearn and apply Eliza's delivery standards for quality, documentation, and pace.\nDevelop working fluency with LLM integration, prompt design, evaluation, and cloud deployment.\n4. Escalate Clearly and Early\nSurface complex technical challenges, blockers, and risks with clear context.\nKnow the difference between a problem you should push through and one that needs senior input.\nKeep the engagement team informed on status without needing to be chased.\n5. Learn Through Direct Mentorship\nWork closely with Lead and Senior FDEs, absorbing different approaches to technical and client problems.\nSeek and act on direct feedback about technical execution, client communication, and ownership.\nBuild the client-management nuance that separates good engineering from good delivery.\n\nQualifications\nRequired\n0–2 years of software engineering experience, or equivalent demonstrated ability through internships, open-source contributions, or substantial personal projects.\nStrong programming skills in Python; familiarity with JavaScript/TypeScript, Go, or similar is a plus.\nClear written and verbal communication, and real interest in working directly with clients.\nWorking exposure to modern cloud platforms (AWS, GCP, or Azure) and version control / CI workflows.\nEvidence of shipping something real—a working system, tool, or model that other people used.\nHigh ownership instinct: you finish things, and you ask for help before a problem becomes a crisis.\nPreferred\nHands-on experience with LLMs (e.g., Anthropic, OpenAI, Cohere), vector search, or prompt engineering.\nAny prior client-facing, consulting, or professional services exposure.\nFamiliarity with ML/AI project work, independently or alongside data science teams.\nComfort with ambiguity and rapid context-switching across problem domains.\nWhat We Offer\nCompetitive compensation (salary + annual bonus).\nEquity options in a growing AI services company.\nFully remote work\nRemote work perks include a WFH stipend and monthly lifestyle stipend\nDirect mentorship from senior engineers on live client work, starting immediately.\nExposure to multiple industries, clients, and problem domains in your first year.\nA collaborative, mission-driven team passionate about the real-world impact of AI.","company":"Eliza","rawCompany":"eliza","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-05T00:13:47.654Z","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":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"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":"Associate Forward Deployed Engineer","description":"Associate Forward Deployed Engineer\n\nAbout Us\nEliza is a technology services company and Advanced-tier OpenAI partner that’s dedicated to helping organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to bring real-world AI applications to life. Our projects combine deep technical expertise with hands-on client collaboration to solve high-impact problems.\nRole Overview\nThe Associate Forward Deployed Engineer (Associate FDE) is an entry point to our delivery team that grows into full ownership of client-facing AI engagements. Associate FDEs work alongside our Lead and Senior Forward Deployed Engineers on live client work—contributing directly to the technical build, joining client conversations from requirements gathering through proof-of-concept and delivery, and taking on scoped client-facing assignments as readiness grows.\nYou will rotate across engagements rather than sitting on one account, which means exposure to several senior engineers, several industries, and several kinds of hard problems in your first year. Alongside client work, Associate FDEs identify, build, and present internal AI use cases that improve how Eliza itself operates—real problems you own end-to-end, with real users.\nThis is a deliberate entry point into forward-deployed engineering. The role is structured so that engineers who consistently meet our delivery bar build toward independently owning client engagements.\n\nKey Responsibilities\n1. Contribute to Client-Facing Solution Delivery\nBuild and test components of custom AI systems—model integrations, data pipelines, APIs, and deployment tooling—under senior technical direction.\nParticipate in client sessions across the engagement lifecycle: requirements gathering, prototype reviews, technical working sessions, and delivery readouts.\nTake direct ownership of scoped client-facing assignments, with responsibility growing over your first several months.\nPrototype rapidly and iterate against real client feedback.\n2. Own Internal AI Use Cases\nProactively identify opportunities to apply AI within Eliza's own operating rhythms.\nScope, build, and present high-impact internal solutions end-to-end.\nUse that work to build the judgment, communication, and delivery instincts client ownership requires.\n3. Build Technical Craft\nWrite clean, reviewable code and respond productively to technical review.\nLearn and apply Eliza's delivery standards for quality, documentation, and pace.\nDevelop working fluency with LLM integration, prompt design, evaluation, and cloud deployment.\n4. Escalate Clearly and Early\nSurface complex technical challenges, blockers, and risks with clear context.\nKnow the difference between a problem you should push through and one that needs senior input.\nKeep the engagement team informed on status without needing to be chased.\n5. Learn Through Direct Mentorship\nWork closely with Lead and Senior FDEs, absorbing different approaches to technical and client problems.\nSeek and act on direct feedback about technical execution, client communication, and ownership.\nBuild the client-management nuance that separates good engineering from good delivery.\n\nQualifications\nRequired\n0–2 years of software engineering experience, or equivalent demonstrated ability through internships, open-source contributions, or substantial personal projects.\nStrong programming skills in Python; familiarity with JavaScript/TypeScript, Go, or similar is a plus.\nClear written and verbal communication, and real interest in working directly with clients.\nWorking exposure to modern cloud platforms (AWS, GCP, or Azure) and version control / CI workflows.\nEvidence of shipping something real—a working system, tool, or model that other people used.\nHigh ownership instinct: you finish things, and you ask for help before a problem becomes a crisis.\nPreferred\nHands-on experience with LLMs (e.g., Anthropic, OpenAI, Cohere), vector search, or prompt engineering.\nAny prior client-facing, consulting, or professional services exposure.\nFamiliarity with ML/AI project work, independently or alongside data science teams.\nComfort with ambiguity and rapid context-switching across problem domains.\nWhat We Offer\nCompetitive compensation (salary + annual bonus).\nEquity options in a growing AI services company.\nFully remote work\nRemote work perks include a WFH stipend and monthly lifestyle stipend\nDirect mentorship from senior engineers on live client work, starting immediately.\nExposure to multiple industries, clients, and problem domains in your first year.\nA collaborative, mission-driven team passionate about the real-world impact of AI.","datePosted":"2026-08-05T00:13:47.654Z","dateModified":"2026-08-05T00:13:47.654Z","hiringOrganization":{"@type":"Organization","name":"Eliza","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1346b2680abdfe0f3fcbe6fa"},"url":"https://jobsearcher.com/jobs/1346b2680abdfe0f3fcbe6fa"}}