{"schemaVersion":"jobsearcher.job.v1","id":"7abca54ae12dfa07a6abbcf6","url":"https://jobsearcher.com/jobs/7abca54ae12dfa07a6abbcf6","canonicalUrl":"https://jobsearcher.com/jobs/7abca54ae12dfa07a6abbcf6","title":"Forward Deployed Engineer","description":"Mission\n4Minds is an enterprise AI fine‑tuning platform that transforms how organizations build and operate private, domain‑specific AI. Unlike static systems, 4Minds’s AI platform learns continuously from live data in real time and can be deployed on‑prem or your cloud provider.\n\nOur patented technologies scale existing engineering teams and empower new AI teams, enabling rapid AI deployment, adaptation, and ROI. Through 4Minds’s automated data pipeline and proprietary knowledge graph, enterprises can connect all their data sources, including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the capabilities of conventional RAG‑based systems.\n\nRole Overview\nAs a Forward Deployed Engineer (FDE), you’ll operate at the intersection of engineering, AI, and live customer systems. You’ll work directly with enterprise clients to deploy, debug, and optimize 4Minds LLM training platform.\n\nThis is a hands‑on, field‑facing engineering role. You’ll move between writing code, diagnosing live issues, building integrations, tuning models, and translating operational insights into core product improvements.\n\nReporting to the CRO, you'll make an impact for us and our customers by solving hard, messy, high‑stakes problems where AI meets real operations.\n\nKey Responsibilities\n\nPartner directly with customers, from sales through onboarding and production, to ensure the 4Minds platform delivers new models for our clients.\n\nDebug, tune, and optimize real‑time LLM development pipelines for clients.\n\nBuild and maintain lightweight integrations, automations, and scripts connecting customer systems (TMS, CRMs, APIs) to our AI stack.\n\nWork closely with core engineering and product teams to reproduce, isolate, and resolve field issues rapidly.\n\nDevelop deployment playbooks and reusable frameworks that make future rollouts faster and more reliable.\n\nSurface insights and edge cases from customer operations to inform model tuning, UX design, and roadmap priorities.\n\nRepresent engineering in the field and communicate clearly with both technical and non‑technical stakeholders.\n\nShip quickly, iterate aggressively, and own every deployment like it’s your own product.\n\nRequired Qualifications\n\nBS in Computer Science, Engineering, or related technical field.\n\n3+ years in a technical customer‑interfacing implementation role.\n\n5+ years in software engineering.\n\nStrong experience with AI/LLM pipelines and open‑source models including prompting, orchestration, or model tuning.\n\nStrong proficiency in Python, Node.js, or TypeScript.\n\nAble to build integrations and debug live systems.\n\nExperience with real‑time APIs, WebRTC, or streaming systems.\n\nClear technical communication and ability to work directly with customer teams under time pressure.\n\nComfort working in high‑stakes, production environments where reliability and speed matter.\n\nDeep ownership mindset: you care about outcomes, not job titles.\n\nPreferred Qualifications\n\nMS in Computer Science, Engineering, or related technical field.\n\nExpertise in working with AI/LLM pipelines including prompting, orchestration, or model tuning.\n\n5+ years in enterprise technical implementation roles.\n\n8+ years in software engineering.\n\nExpert proficiency in Python, Node.js, or TypeScript.\n\nAble to build integrations and debug live systems.\n\nPrevious enterprise experience implementing new technologies.\n\nPassion and desire to work with clients to deliver impact on their businesses.\n\nCompensation\n\nBase salary range: $190,000–$225,000 annually.\n\nCompetitive equity package in a venture‑backed startup.\n\nPerformance‑based bonus structure.\n\nAnnual merit‑based salary reviews.\n\nStock.\n\nBenefits\n\nComprehensive medical, dental, and vision coverage (80% employer‑paid).\n\n401(k) plan.\n\nUnlimited PTO policy with 15 days minimum.\n\n11 paid company holidays.\n\nFlexible Spending Account (FSA) and Health Savings Account (HSA) options.\n\nProfessional Development\n\nAnnual training and certification budget.\n\nAccess to online learning platforms.\n\nConference attendance opportunities.\n\nRegular internal technical workshops and knowledge sharing sessions.\n\nWork Environment\n\nRemote Position with travel to Customer Sites 50% of the time.\n\nAccess to local co‑working space.\n\nHigh‑performance workstations.\n\nModern office space in Dallas with standing desks and ergonomics equipment.\n\nMonthly team events and learning sessions.\n\nCollaborative in‑office environment fostering innovation and teamwork.\n\nProcess\nWe like to be efficient but do our due diligence. Here’s what you’ll expect from us:\n\nInterview with Recruiter (30–60 minutes)\n\nInterview with Hiring Manager (30 minutes)\n\nTechnical Interviews and Presentation (Half day)\n\nInterview with CEO (45 Minutes)\n\nApply Now\n\nDetailed Resume\n\nGit Hub profile or code samples\n\nPortfolio of relevant work\n\nBrief cover letter describing your development experience\n\nReferences from previous roles\n\n4MindsAI is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.\n\n#J-18808-Ljbffr","company":"4mindsai","rawCompany":"4mindsai","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-09T09:37:10.008Z","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":"Forward Deployed Engineer","description":"Mission\n4Minds is an enterprise AI fine‑tuning platform that transforms how organizations build and operate private, domain‑specific AI. Unlike static systems, 4Minds’s AI platform learns continuously from live data in real time and can be deployed on‑prem or your cloud provider.\n\nOur patented technologies scale existing engineering teams and empower new AI teams, enabling rapid AI deployment, adaptation, and ROI. Through 4Minds’s automated data pipeline and proprietary knowledge graph, enterprises can connect all their data sources, including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the capabilities of conventional RAG‑based systems.\n\nRole Overview\nAs a Forward Deployed Engineer (FDE), you’ll operate at the intersection of engineering, AI, and live customer systems. You’ll work directly with enterprise clients to deploy, debug, and optimize 4Minds LLM training platform.\n\nThis is a hands‑on, field‑facing engineering role. You’ll move between writing code, diagnosing live issues, building integrations, tuning models, and translating operational insights into core product improvements.\n\nReporting to the CRO, you'll make an impact for us and our customers by solving hard, messy, high‑stakes problems where AI meets real operations.\n\nKey Responsibilities\n\nPartner directly with customers, from sales through onboarding and production, to ensure the 4Minds platform delivers new models for our clients.\n\nDebug, tune, and optimize real‑time LLM development pipelines for clients.\n\nBuild and maintain lightweight integrations, automations, and scripts connecting customer systems (TMS, CRMs, APIs) to our AI stack.\n\nWork closely with core engineering and product teams to reproduce, isolate, and resolve field issues rapidly.\n\nDevelop deployment playbooks and reusable frameworks that make future rollouts faster and more reliable.\n\nSurface insights and edge cases from customer operations to inform model tuning, UX design, and roadmap priorities.\n\nRepresent engineering in the field and communicate clearly with both technical and non‑technical stakeholders.\n\nShip quickly, iterate aggressively, and own every deployment like it’s your own product.\n\nRequired Qualifications\n\nBS in Computer Science, Engineering, or related technical field.\n\n3+ years in a technical customer‑interfacing implementation role.\n\n5+ years in software engineering.\n\nStrong experience with AI/LLM pipelines and open‑source models including prompting, orchestration, or model tuning.\n\nStrong proficiency in Python, Node.js, or TypeScript.\n\nAble to build integrations and debug live systems.\n\nExperience with real‑time APIs, WebRTC, or streaming systems.\n\nClear technical communication and ability to work directly with customer teams under time pressure.\n\nComfort working in high‑stakes, production environments where reliability and speed matter.\n\nDeep ownership mindset: you care about outcomes, not job titles.\n\nPreferred Qualifications\n\nMS in Computer Science, Engineering, or related technical field.\n\nExpertise in working with AI/LLM pipelines including prompting, orchestration, or model tuning.\n\n5+ years in enterprise technical implementation roles.\n\n8+ years in software engineering.\n\nExpert proficiency in Python, Node.js, or TypeScript.\n\nAble to build integrations and debug live systems.\n\nPrevious enterprise experience implementing new technologies.\n\nPassion and desire to work with clients to deliver impact on their businesses.\n\nCompensation\n\nBase salary range: $190,000–$225,000 annually.\n\nCompetitive equity package in a venture‑backed startup.\n\nPerformance‑based bonus structure.\n\nAnnual merit‑based salary reviews.\n\nStock.\n\nBenefits\n\nComprehensive medical, dental, and vision coverage (80% employer‑paid).\n\n401(k) plan.\n\nUnlimited PTO policy with 15 days minimum.\n\n11 paid company holidays.\n\nFlexible Spending Account (FSA) and Health Savings Account (HSA) options.\n\nProfessional Development\n\nAnnual training and certification budget.\n\nAccess to online learning platforms.\n\nConference attendance opportunities.\n\nRegular internal technical workshops and knowledge sharing sessions.\n\nWork Environment\n\nRemote Position with travel to Customer Sites 50% of the time.\n\nAccess to local co‑working space.\n\nHigh‑performance workstations.\n\nModern office space in Dallas with standing desks and ergonomics equipment.\n\nMonthly team events and learning sessions.\n\nCollaborative in‑office environment fostering innovation and teamwork.\n\nProcess\nWe like to be efficient but do our due diligence. Here’s what you’ll expect from us:\n\nInterview with Recruiter (30–60 minutes)\n\nInterview with Hiring Manager (30 minutes)\n\nTechnical Interviews and Presentation (Half day)\n\nInterview with CEO (45 Minutes)\n\nApply Now\n\nDetailed Resume\n\nGit Hub profile or code samples\n\nPortfolio of relevant work\n\nBrief cover letter describing your development experience\n\nReferences from previous roles\n\n4MindsAI is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.\n\n#J-18808-Ljbffr","datePosted":"2026-04-09T09:37:10.008Z","dateModified":"2026-04-09T09:37:10.008Z","hiringOrganization":{"@type":"Organization","name":"4mindsai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7abca54ae12dfa07a6abbcf6"},"url":"https://jobsearcher.com/jobs/7abca54ae12dfa07a6abbcf6"}}