{"schemaVersion":"jobsearcher.job.v1","id":"a4d9d0a65e24639df0880e0e","url":"https://jobsearcher.com/jobs/a4d9d0a65e24639df0880e0e","canonicalUrl":"https://jobsearcher.com/jobs/a4d9d0a65e24639df0880e0e","title":"Full Stack Engineer","description":"Fullstack AI Engineer (Generative AI / Agentic Systems) We are partnering with an innovative technology organization at the forefront of the Generative AI revolution within a complex, data-rich industry. Their growing AI team is focused on building next-generation AI applications and enhancing existing platforms with advanced LLM and agentic capabilities.They are seeking a Fullstack AI Engineer to drive the strategy, architecture, and delivery of cutting-edge AI solutions across the enterprise.What You’ll Do:AI Architecture & StrategyOwn end-to-end design of AI platforms and applicationsDefine model strategy (OpenAI, Google, small vs. large models)Design scalable systems leveraging:RAG (retrieval-augmented generation)Multi-agent frameworks & workflow orchestrationKnowledge graphs, hybrid search, and semantic cachingEvaluate and implement emerging AI technologies (LLMs, multimodal models, real-time systems)Platform DevelopmentBuild reusable AI services, SDKs, and frameworksEstablish best practices for:Prompt engineering & versioningModel evaluation and observabilityLogging, monitoring, and incident responseDevelop modular, scalable backend systems for agentic workflowsLeadership & ExecutionLead and mentor AI/ML engineers and data scientistsDrive design reviews, architecture decisions, and coding standardsPartner with product and business leaders to identify high-impact AI use casesOwn delivery of complex AI initiatives from concept through productionGovernance & OptimizationDefine evaluation frameworks (quality, safety, business impact)Ensure responsible AI practices (bias, privacy, compliance)Optimize performance and cost (model routing, caching, infrastructure design)Establish SLAs/SLOs and ensure system scalability and reliabilityWhat We’re Looking For8+ years in Software Engineering, ML Engineering, or Data Science3+ years working with Applied AI / LLM systemsProven experience in a technical leadership roleStrong expertise in:Python and/or TypeScript in production environmentsCloud-native architecture (AWS, Azure, or GCP)Distributed systems, Docker, Kubernetes, CI/CDHands-on experience with:LLM application development (prompting, tool use, multi-agent systems)RAG architectures, vector databases, and retrieval optimizationAI evaluation, monitoring, and observabilityProven ability to:Architect and scale AI systems in productionLead cross-functional initiatives and mentor teamsCommunicate complex AI concepts to technical and business stakeholdersNice to HaveExperience with coding assistants (e.g., Cursor, Codex, Windsurf)Multimodal or real-time AI applications (voice, streaming, UI agents)Exposure to AI evaluation frameworks (LangSmith, OpenAI Evals)Background in highly regulated or privacy-focused environmentsExperience shaping AI strategy or building AI capabilities at scaleWhy This RoleOpportunity to define AI strategy and architecture at scaleWork on cutting-edge agentic AI and LLM-driven systemsHigh visibility role with strong influence across product and leadership","company":"Apt","rawCompany":"apt","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-05-29T11:52:08.937Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"Full Stack Engineer","description":"Fullstack AI Engineer (Generative AI / Agentic Systems) We are partnering with an innovative technology organization at the forefront of the Generative AI revolution within a complex, data-rich industry. Their growing AI team is focused on building next-generation AI applications and enhancing existing platforms with advanced LLM and agentic capabilities.They are seeking a Fullstack AI Engineer to drive the strategy, architecture, and delivery of cutting-edge AI solutions across the enterprise.What You’ll Do:AI Architecture & StrategyOwn end-to-end design of AI platforms and applicationsDefine model strategy (OpenAI, Google, small vs. large models)Design scalable systems leveraging:RAG (retrieval-augmented generation)Multi-agent frameworks & workflow orchestrationKnowledge graphs, hybrid search, and semantic cachingEvaluate and implement emerging AI technologies (LLMs, multimodal models, real-time systems)Platform DevelopmentBuild reusable AI services, SDKs, and frameworksEstablish best practices for:Prompt engineering & versioningModel evaluation and observabilityLogging, monitoring, and incident responseDevelop modular, scalable backend systems for agentic workflowsLeadership & ExecutionLead and mentor AI/ML engineers and data scientistsDrive design reviews, architecture decisions, and coding standardsPartner with product and business leaders to identify high-impact AI use casesOwn delivery of complex AI initiatives from concept through productionGovernance & OptimizationDefine evaluation frameworks (quality, safety, business impact)Ensure responsible AI practices (bias, privacy, compliance)Optimize performance and cost (model routing, caching, infrastructure design)Establish SLAs/SLOs and ensure system scalability and reliabilityWhat We’re Looking For8+ years in Software Engineering, ML Engineering, or Data Science3+ years working with Applied AI / LLM systemsProven experience in a technical leadership roleStrong expertise in:Python and/or TypeScript in production environmentsCloud-native architecture (AWS, Azure, or GCP)Distributed systems, Docker, Kubernetes, CI/CDHands-on experience with:LLM application development (prompting, tool use, multi-agent systems)RAG architectures, vector databases, and retrieval optimizationAI evaluation, monitoring, and observabilityProven ability to:Architect and scale AI systems in productionLead cross-functional initiatives and mentor teamsCommunicate complex AI concepts to technical and business stakeholdersNice to HaveExperience with coding assistants (e.g., Cursor, Codex, Windsurf)Multimodal or real-time AI applications (voice, streaming, UI agents)Exposure to AI evaluation frameworks (LangSmith, OpenAI Evals)Background in highly regulated or privacy-focused environmentsExperience shaping AI strategy or building AI capabilities at scaleWhy This RoleOpportunity to define AI strategy and architecture at scaleWork on cutting-edge agentic AI and LLM-driven systemsHigh visibility role with strong influence across product and leadership","datePosted":"2026-05-29T11:52:08.937Z","dateModified":"2026-05-29T11:52:08.937Z","hiringOrganization":{"@type":"Organization","name":"Apt","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a4d9d0a65e24639df0880e0e"},"url":"https://jobsearcher.com/jobs/a4d9d0a65e24639df0880e0e"}}