• What you’ll be doingDesigning and building production-grade agentic AI systems and intelligent workflows
• Turning the latest advances in AI into practical product features that solve real user problems
• Building AI systems that combine LLMs, tools, data and business logic to support clinical decision making
• Defining guardrails, evaluation frameworks, monitoring approaches and human-in-the-loop workflows
• Improving the reliability, scalability and cost-efficiency of AI-powered products
• Working closely with engineers, AI specialists, product teams and healthcare experts to bring new capabilities into production

• What they’re looking forA strong software engineering background with experience building production systems
• Hands-on experience with modern LLMs such as OpenAI, Anthropic, Claude or Gemini
• Experience designing AI-powered products, agentic workflows or intelligent automation systems
• A strong product mindset with experience turning AI capabilities into production features that solve real user or business problems
• Experience building AI systems that are reliable, scalable, observable and safe enough for real-world deployment

If you’ve built AI systems that have moved beyond prototypes into real production environments, and enjoy solving the challenges that come with deploying intelligent systems at scale, I’d be happy to tell you more.

• Keywords: Agentic AI, Agentic Systems, AI Engineering, Applied AI, Generative AI, LLMs, Large Language Models, OpenAI, Anthropic, Claude, Gemini, AI Agents, AI Orchestration, Workflow Automation, Tool Calling, RAG, Retrieval Augmented Generation, LangGraph, LangChain, AI Platforms, AI Reliability, AI Evaluation, Human-in-the-Loop, AI Infrastructure, Software Engineering, Backend Engineering, Software Architecture, Product Engineering, AI Products, Machine Learning Engineering, HealthTech
• Requirements added by the job poster • Master's Degree.
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