{"schemaVersion":"jobsearcher.job.v1","id":"6e3d11c33b7dad64e4e3d9e2","url":"https://jobsearcher.com/jobs/6e3d11c33b7dad64e4e3d9e2","canonicalUrl":"https://jobsearcher.com/jobs/6e3d11c33b7dad64e4e3d9e2","title":"AI Engineer","description":"Overview\nIn this AI Software Engineer role, you will build AI-powered features for a Go-based medical device web app and a cloud SaaS platform. You’ll advance AI capabilities in health tech, collaborate with cross-functional partners, and help scale trusted, compliant AI solutions. The position offers remote work within the U.S. and connects you with Abbott’s mission to improve diabetes care through data-driven insights.\n\nCompensation / Benefitsfree medical coverage in HIP PPOretirement savings plan with high employer contributiontuition reimbursement and FreeU education benefitopportunity to work remotely within the U.S.healthcare benefits and wellness programsrecognition as a great place to work in multiple regions\nResponsibilitiesDevelop AI-enabled product features, including LLM-powered capabilities and RAG pipelinesImprove internal engineering and quality processes with AI solutions in partnership with QAMake design decisions within approved AI architecture and tooling, selecting libraries and modelsEvaluate tradeoffs on performance, accuracy, safety, and cost; document decisionsSupport AI Ops initiatives and deploy models to cloud infrastructure (AWS)Customize large language models for product use cases and apply NLP and generative AICollaborate in Scrum activities and translate business needs into AI solutionsCreate technical documentation, reusable patterns, and training materials for AI Center of ExcellenceUse company-approved AI tools across the SDLC to boost productivity and maintain complianceCommunicate risks and progress clearly and deliver on schedule\nKey requirementsBachelor's degree or higher in a related field with 6+ years of experience, or Master's with 4+ yearsProven track record delivering AI/ML solutions into production software or internal platformsStrong programming skills (Python, R) and ML frameworks (PyTorch, TensorFlow, Keras)Experience with automated testing, CI/CD, and Agile/ScrumSolid math, statistics, algorithms, and data structures knowledgeExperience deploying models to public cloud (AWS)Ability to translate business needs into AI approaches and explain to non-technical stakeholdersFamiliarity with model monitoring, MLOps, and responsible AI practicesUnderstanding of regulated environments for medical-device software is a plusStrong analytical and problem-solving abilitiesClear communication across technical and non-technical teamsCollaborative mindset and cross-functional teamworkLLMs and prompt engineeringRetrieval-augmented generation (RAG)Model fine-tuning and supervised/unsupervised learning techniques","company":"Abbott","rawCompany":"abbott","city":"Springfield","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-09-22T03:43:49.354Z","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":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer","description":"Overview\nIn this AI Software Engineer role, you will build AI-powered features for a Go-based medical device web app and a cloud SaaS platform. You’ll advance AI capabilities in health tech, collaborate with cross-functional partners, and help scale trusted, compliant AI solutions. The position offers remote work within the U.S. and connects you with Abbott’s mission to improve diabetes care through data-driven insights.\n\nCompensation / Benefitsfree medical coverage in HIP PPOretirement savings plan with high employer contributiontuition reimbursement and FreeU education benefitopportunity to work remotely within the U.S.healthcare benefits and wellness programsrecognition as a great place to work in multiple regions\nResponsibilitiesDevelop AI-enabled product features, including LLM-powered capabilities and RAG pipelinesImprove internal engineering and quality processes with AI solutions in partnership with QAMake design decisions within approved AI architecture and tooling, selecting libraries and modelsEvaluate tradeoffs on performance, accuracy, safety, and cost; document decisionsSupport AI Ops initiatives and deploy models to cloud infrastructure (AWS)Customize large language models for product use cases and apply NLP and generative AICollaborate in Scrum activities and translate business needs into AI solutionsCreate technical documentation, reusable patterns, and training materials for AI Center of ExcellenceUse company-approved AI tools across the SDLC to boost productivity and maintain complianceCommunicate risks and progress clearly and deliver on schedule\nKey requirementsBachelor's degree or higher in a related field with 6+ years of experience, or Master's with 4+ yearsProven track record delivering AI/ML solutions into production software or internal platformsStrong programming skills (Python, R) and ML frameworks (PyTorch, TensorFlow, Keras)Experience with automated testing, CI/CD, and Agile/ScrumSolid math, statistics, algorithms, and data structures knowledgeExperience deploying models to public cloud (AWS)Ability to translate business needs into AI approaches and explain to non-technical stakeholdersFamiliarity with model monitoring, MLOps, and responsible AI practicesUnderstanding of regulated environments for medical-device software is a plusStrong analytical and problem-solving abilitiesClear communication across technical and non-technical teamsCollaborative mindset and cross-functional teamworkLLMs and prompt engineeringRetrieval-augmented generation (RAG)Model fine-tuning and supervised/unsupervised learning techniques","datePosted":"2026-09-22T03:43:49.354Z","dateModified":"2026-09-22T03:43:49.354Z","hiringOrganization":{"@type":"Organization","name":"Abbott","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6e3d11c33b7dad64e4e3d9e2"},"url":"https://jobsearcher.com/jobs/6e3d11c33b7dad64e4e3d9e2"}}