AI / ML Engineer - Healthcare AI Systems

• 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

Do you have experience in Testing and evaluation?, Do you have a High school diploma or GED?, * 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 with 3+ years of relevant experience OR

• HS Diploma/GED with 7+ years of experience

2.92.9 out of 5 stars Rochester, MN 55904 Remote $85 - $95 an hour - Contract, Pulled from the full job description

• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Health savings account
• Dental insurance
• Disability insurance, * Competitive Compensation -$85-$95 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography
• Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
• Paid Time Off - Offers paid time away from work
• High-Impact Healthcare Work - Build AI systems used in real clinical environments
• Professional Growth - Work alongside senior AI engineers, clinicians, and healthcare leaders

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, At Trissential, we believe great engineers deserve flexibility, transparency, and meaningful work.