AI / ML Engineer – Healthcare AI Systems

Overview: **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,