{"schemaVersion":"jobsearcher.job.v1","id":"a7d7d6eb411562bbd725869a","url":"https://jobsearcher.com/jobs/a7d7d6eb411562bbd725869a","canonicalUrl":"https://jobsearcher.com/jobs/a7d7d6eb411562bbd725869a","title":"Staff Machine Learning Engineer - Generative AI & Full-Stack Applications","description":"We're building a world of health around every individual – shaping a more connected, convenient and compassionate health experience.\r\nKey Responsibilities\r\nAI Solution Design & Prototyping\r\nPartner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.\r\nDesign solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.\r\nDevelop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.\r\nProduction Engineering & Enterprise Readiness\r\nBuild production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.\r\nImplement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).\r\nInstrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.\r\nModel Enablement & Evaluation\r\nBuild and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).\r\nImplement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.\r\nCollaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.\r\nReusable Components & Engineering Excellence\r\nContribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.\r\nParticipate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.\r\nContinuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.\r\nRequired Qualifications\r\n7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.\r\n3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls).\r\n3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.\r\nPreferred Qualifications\r\nStrong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.\r\nHands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.\r\nExperience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.\r\nWorking knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.\r\nAbility to communicate clearly, influence across teams, and translate business needs into implementable technical plans.\r\nEducation\r\nBachelor's degree or equivalent experience (High School Diploma and 4 years relevant experience).\r\nPay Range\r\nThe typical pay range for this role is\r\n$106,605.00 – $284,280.00\r\nThis pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.\r\nBenefits\r\nWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.\r\nEEO Statement\r\nQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.\r\nJ-18808-Ljbffr","company":"Koitecc Solutions","rawCompany":"koitecc solutions","city":"Baton Rouge","state":"LA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:47:55.134Z","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":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Staff Machine Learning Engineer - Generative AI & Full-Stack Applications","description":"We're building a world of health around every individual – shaping a more connected, convenient and compassionate health experience.\r\nKey Responsibilities\r\nAI Solution Design & Prototyping\r\nPartner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.\r\nDesign solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.\r\nDevelop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.\r\nProduction Engineering & Enterprise Readiness\r\nBuild production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.\r\nImplement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).\r\nInstrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.\r\nModel Enablement & Evaluation\r\nBuild and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).\r\nImplement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.\r\nCollaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.\r\nReusable Components & Engineering Excellence\r\nContribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.\r\nParticipate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.\r\nContinuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.\r\nRequired Qualifications\r\n7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.\r\n3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls).\r\n3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.\r\nPreferred Qualifications\r\nStrong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.\r\nHands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.\r\nExperience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.\r\nWorking knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.\r\nAbility to communicate clearly, influence across teams, and translate business needs into implementable technical plans.\r\nEducation\r\nBachelor's degree or equivalent experience (High School Diploma and 4 years relevant experience).\r\nPay Range\r\nThe typical pay range for this role is\r\n$106,605.00 – $284,280.00\r\nThis pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.\r\nBenefits\r\nWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.\r\nEEO Statement\r\nQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:47:55.134Z","dateModified":"2026-07-16T01:47:55.134Z","hiringOrganization":{"@type":"Organization","name":"Koitecc Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Baton Rouge","addressRegion":"LA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a7d7d6eb411562bbd725869a"},"url":"https://jobsearcher.com/jobs/a7d7d6eb411562bbd725869a"}}