{"schemaVersion":"jobsearcher.job.v1","id":"81b7840741df5fcee005989d","url":"https://jobsearcher.com/jobs/81b7840741df5fcee005989d","canonicalUrl":"https://jobsearcher.com/jobs/81b7840741df5fcee005989d","title":"Forward Deployment Engineer","description":"Position : Forward Deployed Engineer (FDE)Location : Dallas, TX OR Minneapolis, MN onsite roleFulltime/Permanent Job DescriptionWork hands-on with Product, Architecture, Engineering, QA, and UX teams to operationalize AI-DLC practices.Enable Mob Construction, AI-assisted development, prompt engineering, and context-driven delivery.Establish reference architectures, AI coding standards, reusable prompts, and semantic knowledge assets.Coach teams on validation frameworks, AI quality practices, and human-in-the-loop controls.Support brownfield semantic modeling and legacy system knowledge extraction.Introduce AI engineering toolchains, evaluation pipelines, and MLOps/LLMOps practices.Capture delivery learnings and convert them into reusable best practices.QualificationsBachelor's degree in Computer Science, Engineering, or related field8+ years of software engineering, architecture, QA, DevOps, or platform engineering experienceHands-on experience delivering cloud-native and enterprise applicationsExperience with AI-assisted development tools and modern software engineering practicesStrong coding and solution architecture backgroundPreferred: Experience with LLMs, Agentic AI, RAG, semantic search, or AI platformPreferred: AWS/Azure/GCP certificationsPreferred: Experience in AI platform engineering and MLOps/LLMOpsPreferred: Financial Services domain experienceTechnical & Soft SkillsPrompt engineering and context engineeringPython, Java, JavaScript, or modern cloud development stackDevOps, CI/CD, GitHub, GitHub Copilot, Cursor, Replit, etc.GenAI platforms and LLM integration, MLOps / LLMOpsSemantic modeling and knowledge graph conceptsCoaching and mentoring experienceCollaboration across cross-functional teamsStrong verbal and written communication","company":"Programmers.io","rawCompany":"programmersio","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-28T08:08:18.380Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployment Engineer","description":"Position : Forward Deployed Engineer (FDE)Location : Dallas, TX OR Minneapolis, MN onsite roleFulltime/Permanent Job DescriptionWork hands-on with Product, Architecture, Engineering, QA, and UX teams to operationalize AI-DLC practices.Enable Mob Construction, AI-assisted development, prompt engineering, and context-driven delivery.Establish reference architectures, AI coding standards, reusable prompts, and semantic knowledge assets.Coach teams on validation frameworks, AI quality practices, and human-in-the-loop controls.Support brownfield semantic modeling and legacy system knowledge extraction.Introduce AI engineering toolchains, evaluation pipelines, and MLOps/LLMOps practices.Capture delivery learnings and convert them into reusable best practices.QualificationsBachelor's degree in Computer Science, Engineering, or related field8+ years of software engineering, architecture, QA, DevOps, or platform engineering experienceHands-on experience delivering cloud-native and enterprise applicationsExperience with AI-assisted development tools and modern software engineering practicesStrong coding and solution architecture backgroundPreferred: Experience with LLMs, Agentic AI, RAG, semantic search, or AI platformPreferred: AWS/Azure/GCP certificationsPreferred: Experience in AI platform engineering and MLOps/LLMOpsPreferred: Financial Services domain experienceTechnical & Soft SkillsPrompt engineering and context engineeringPython, Java, JavaScript, or modern cloud development stackDevOps, CI/CD, GitHub, GitHub Copilot, Cursor, Replit, etc.GenAI platforms and LLM integration, MLOps / LLMOpsSemantic modeling and knowledge graph conceptsCoaching and mentoring experienceCollaboration across cross-functional teamsStrong verbal and written communication","datePosted":"2026-08-28T08:08:18.380Z","dateModified":"2026-08-28T08:08:18.380Z","hiringOrganization":{"@type":"Organization","name":"Programmers.io","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"81b7840741df5fcee005989d"},"url":"https://jobsearcher.com/jobs/81b7840741df5fcee005989d"}}