AI / ML Engineer – Healthcare AI Systems

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. The role involves designing, building, evaluating, and deploying production-grade AI systems that directly impact patient care and healthcare operations.

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

Requirements:

• 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
• Master's degree in Engineering, Computer Science, Mathematics, Health Science, or related field with 1+ year experience OR Bachelor's degree with 3+ years of relevant experience OR HS Diploma/GED with 7+ years of experience
• 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