{"schemaVersion":"jobsearcher.job.v1","id":"0104cdbff9f2d8165bf120ad","url":"https://jobsearcher.com/jobs/0104cdbff9f2d8165bf120ad","canonicalUrl":"https://jobsearcher.com/jobs/0104cdbff9f2d8165bf120ad","title":"AI Engineer - Python/Agentic AI (W2/Remote/USA)","description":"Job Title: AI Engineer - Mid Level (Python/Agentic AI)Location: Remote/USA (CST)Job Type: W2 Contract / 6+ MonthsVisa: GC/USCWe are seeking a highly skilled AI Engineer to join our AI & Innovation team. This role will focus on designing and delivering scalable, production‑ready AI solutions for healthcare and life sciences, with a strong emphasis on Agentic AI, agent orchestration, and Large Language Models (LLMs).The ideal candidate will help advance mission of improving patient access, affordability, and therapy outcomes by embedding responsible, secure, and compliant AI capabilities into enterprise healthcare workflows.Position OverviewAs an AI Engineer, you will be responsible for building, deploying, and scaling GenAI‑powered applications that support healthcare operations, patient services, and internal clinical‑adjacent workflows. You will work closely with product, engineering, data, and business stakeholders to ensure AI solutions are reliable, compliant, and aligned with healthcare regulations and enterprise standards.Key Responsibilities· Design, prototype, and deploy Generative AI applications using techniques such as Retrieval‑Augmented Generation (RAG), prompt engineering, fine‑tuning, and vector search· Build and maintain Python‑based APIs and software components to support AI services and ensure scalable, production‑grade solutions· Develop multi‑step, agentic workflows for reasoning, task execution, and orchestration using frameworks such as LangChain, LangGraph, and LlamaIndex· Integrate AI capabilities into healthcare and pharmacy services workflows, including case management, program operations, analytics, and internal knowledge systems· Deploy, monitor, and optimize GenAI models and pipelines using cloud‑native tooling, orchestration frameworks, and MLOps best practices· Contribute to the AI platform and reference architecture across cloud environments, including Microsoft Azure and Google Cloud Platform (GCP)· Collaborate with cross‑functional teams to ensure AI solutions meet security, privacy, and compliance requirements (e.g., HIPAA, PHI handling, responsible AI principles)· Document designs, patterns, and best practices to support enterprise reuse and long‑term platform sustainabilityRequired Qualifications:· Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field· 5+ years of professional software engineering experience, with strong proficiency in Python· 2+ years of hands‑on experience building GenAI / LLM‑based applications in real‑world or enterprise environments· Experience designing and implementing agentic or multi‑step AI workflows using orchestration frameworks such as LangGraph or similar· Strong understanding of retrieval pipelines, embeddings, vector databases, prompt engineering, and LLM APIs· Experience deploying AI solutions in cloud environments (Azure and/or GCP)· Familiarity with secure application development and enterprise integration patternsPreferred / Healthcare‑Relevant Experience:· Experience working in healthcare, life sciences, pharmacy services, or regulated industries· Knowledge of HIPAA, PHI data handling, and secure AI design in compliance‑driven environments· Exposure to responsible AI practices, model monitoring, and governance in enterprise settings· Experience supporting internal business users such as care teams, case managers, analytics teams, or program operationsROLEWorking to build AI Products within the platformWorks with 2 other AI EngineersBuilding Agentic AI SolutionsSKILLSPreferably 4-5 years in the AI SpaceStrong experience with PythonAgentic focus, Sound Understanding of LLMs and ML OpsLooking for someone with experience in the weeds building AI ProductsNot looking for AI Research experienceMid level, heads down role","company":"Trimah Technologies","rawCompany":"trimah technologies","isRemote":true,"isActive":false,"createdAt":"2026-05-18T12:27:16.027Z","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":"AI Engineer - Python/Agentic AI (W2/Remote/USA)","description":"Job Title: AI Engineer - Mid Level (Python/Agentic AI)Location: Remote/USA (CST)Job Type: W2 Contract / 6+ MonthsVisa: GC/USCWe are seeking a highly skilled AI Engineer to join our AI & Innovation team. This role will focus on designing and delivering scalable, production‑ready AI solutions for healthcare and life sciences, with a strong emphasis on Agentic AI, agent orchestration, and Large Language Models (LLMs).The ideal candidate will help advance mission of improving patient access, affordability, and therapy outcomes by embedding responsible, secure, and compliant AI capabilities into enterprise healthcare workflows.Position OverviewAs an AI Engineer, you will be responsible for building, deploying, and scaling GenAI‑powered applications that support healthcare operations, patient services, and internal clinical‑adjacent workflows. You will work closely with product, engineering, data, and business stakeholders to ensure AI solutions are reliable, compliant, and aligned with healthcare regulations and enterprise standards.Key Responsibilities· Design, prototype, and deploy Generative AI applications using techniques such as Retrieval‑Augmented Generation (RAG), prompt engineering, fine‑tuning, and vector search· Build and maintain Python‑based APIs and software components to support AI services and ensure scalable, production‑grade solutions· Develop multi‑step, agentic workflows for reasoning, task execution, and orchestration using frameworks such as LangChain, LangGraph, and LlamaIndex· Integrate AI capabilities into healthcare and pharmacy services workflows, including case management, program operations, analytics, and internal knowledge systems· Deploy, monitor, and optimize GenAI models and pipelines using cloud‑native tooling, orchestration frameworks, and MLOps best practices· Contribute to the AI platform and reference architecture across cloud environments, including Microsoft Azure and Google Cloud Platform (GCP)· Collaborate with cross‑functional teams to ensure AI solutions meet security, privacy, and compliance requirements (e.g., HIPAA, PHI handling, responsible AI principles)· Document designs, patterns, and best practices to support enterprise reuse and long‑term platform sustainabilityRequired Qualifications:· Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field· 5+ years of professional software engineering experience, with strong proficiency in Python· 2+ years of hands‑on experience building GenAI / LLM‑based applications in real‑world or enterprise environments· Experience designing and implementing agentic or multi‑step AI workflows using orchestration frameworks such as LangGraph or similar· Strong understanding of retrieval pipelines, embeddings, vector databases, prompt engineering, and LLM APIs· Experience deploying AI solutions in cloud environments (Azure and/or GCP)· Familiarity with secure application development and enterprise integration patternsPreferred / Healthcare‑Relevant Experience:· Experience working in healthcare, life sciences, pharmacy services, or regulated industries· Knowledge of HIPAA, PHI data handling, and secure AI design in compliance‑driven environments· Exposure to responsible AI practices, model monitoring, and governance in enterprise settings· Experience supporting internal business users such as care teams, case managers, analytics teams, or program operationsROLEWorking to build AI Products within the platformWorks with 2 other AI EngineersBuilding Agentic AI SolutionsSKILLSPreferably 4-5 years in the AI SpaceStrong experience with PythonAgentic focus, Sound Understanding of LLMs and ML OpsLooking for someone with experience in the weeds building AI ProductsNot looking for AI Research experienceMid level, heads down role","datePosted":"2026-05-18T12:27:16.027Z","dateModified":"2026-05-18T12:27:16.027Z","hiringOrganization":{"@type":"Organization","name":"Trimah Technologies","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0104cdbff9f2d8165bf120ad"},"url":"https://jobsearcher.com/jobs/0104cdbff9f2d8165bf120ad"}}