AI / ML Engineer – Healthcare AI SystemsExpleo

Acteur mondial de l'ingénierie, de la technologie et du conseil, Expleo accompagne des entreprises reconnues dans leur innovation afin d'accélérer leur réussite.

Nous nous appuyons sur plus de 40 ans d'expérience dans le développement de produits complexes, l'optimisation des processus de fabrication et la performance des systèmes d'information. Notre expérience sectorielle nous permet d'apporter à nos clients une expertise approfondie propre à stimuler l'innovation à chaque étape de la chaîne de valeur. Le groupe réalise un chiffre d'affaires annuel d'un milliard d'euros.

Expleo est un groupe responsable qui s'engage à placer l'éthique et la diversité au centre de ses pratiques, ainsi qu'à œuvrer pour une société plus durable et plus sûre.

Chez Expleo, épanouissez-vous au cœur d'une communauté de 19 000 collaborateurs hautement qualifiés qui fournissent des solutions à forte valeur ajoutée dans 30 pays.

Notre politique de recrutement est engagée en faveur de l'intégration et du maintien dans l'emploi des personnes en situation de handicap.

Location: Remote within USA

Engagement Type: Contract (W2)

Build AI That Actually Reaches the Clinic

Are you excited by the idea of building real, production AI systems that directly impact patient care? Trissential is partnering with a leading healthcare organization to hire AI/ML Engineers who thrive at the intersection of advanced AI, cloud engineering, and healthcare delivery. This is not an experimental or academic role. You'll design, build, evaluate, and deploy production‑grade AI and agentic systems that clinicians and operational teams rely on every day.

What's in It for You?

• Real‑World Impact - Your AI solutions will be deployed into clinical workflows, directly improving patient care and healthcare operations
• Modern AI Stack - Work hands‑on with LLMs, agent architectures, RAG pipelines, and cloud‑native AI systems
• Healthcare‑Grade Engineering - Build solutions that meet HIPAA, PHI, and regulatory requirements
• Technical Ownership - Influence architecture, guardrails, evaluation frameworks, and deployment patterns
• Collaborative Environment - Partner closely with clinicians, product leaders, UX designers, and data teams

Your Role & Responsibilities

• Design and implement agentic AI systems, including LLM integrations, orchestration patterns, prompt engineering, and tool‑using agents
• Build and maintain production Python services, APIs, automation workflows, and data pipelines
• Develop RAG pipelines using embeddings, vector databases, and structured/unstructured healthcare data
• Implement evaluation frameworks and guardrails to address hallucinations, safety, PHI protection, and quality before production
• Deploy, monitor, and optimize AI/ML solutions in cloud environments using CI/CD pipelines
• Collaborate cross‑functionally to translate clinical and operational needs into scalable AI solutions
• Ensure solutions meet healthcare regulatory, quality, and risk mitigation standards
• Contribute to AI/ML best practices, MLOps/LLMOps methodologies, and continuous improvement

Skills & Experience You Should Possess

• 7+ years of experience in software engineering, ML engineering, or AI engineering
• Strong Python experience in production environments (APIs, async workflows, testing)
• Hands‑on experience designing and deploying AI / LLM agent systems
• Experience with at least one agent framework such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or Google ADK
• Practical experience with RAG architectures, embeddings, and vector databases
• Experience deploying AI systems in Azure, AWS, or GCP
• Understanding of HIPAA / PHI handling, including de‑identification and secure AI workflows
• Strong communication skills and ability to explain complex AI concepts to non‑technical stakeholders

Bonus Points If You Have

• Experience with Google Cloud or Azure in regulated environments
• MCP, A2A, or protocol‑driven AI architectures
• Experience with BigQuery, Firestore, Cloud SQL, or Dataflow
• MLOps or LLMOps experience in enterprise environments
• Infrastructure as Code (Terraform) and CI/CD (Azure DevOps Pipelines)
• Experience with healthcare informatics standards and clinical data models

Education & Certifications You Need

• Master's degree in Engineering, Computer Science, Mathematics, Health Science, or related field with 1+ year experience
  OR
• Bachelor's degree…