Agentic AI Developer

Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive
. As a global leader in robotic‑assisted surgery and minimally invasive care
, our technologies‑like the da Vinci surgical system and Ion
-have transformed how care is delivered for millions of patients worldwide.

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful‑because every improvement we make has the potential to change a life.

If you're ready to contribute to something bigger than yourself and help transform the future of healthcare
, you'll find your purpose here.

The Agentic AI Developer will join Intuitive's Agentic AI team, responsible for creating next‑generation autonomous AI solutions. This role focuses on designing and implementing agentic AI systems capable of reasoning, planning, and acting to achieve complex goals across cloud environments. The position requires strong software engineering skills and deep understanding of AI agent architectures. Success will be measured by the ability to deliver robust, scalable, and reliable agentic AI solutions that augment human capabilities and drive innovation in healthcare technology.

• Design and develop autonomous AI agents using C# and Python on Azure and other cloud platforms
• Implement sophisticated context management systems to maintain agent state across multi‑turn interactions and complex workflows
• Build robust memory systems including short‑term working memory and long‑term knowledge retrieval
• Create tool integration frameworks allowing agents to interact with external APIs, databases, and services
• Develop agent orchestration systems for multi‑agent collaboration and task delegation
• Implement prompt engineering strategies and chain‑of‑thought reasoning patterns
• Design error handling and fallback mechanisms for agent reliability
• Build observability and debugging tools for agent behavior analysis
• Optimize token usage and implement efficient context window management strategies
• Collaborate with cross‑functional teams to define agent capabilities and behaviors

• Bachelor's degree in Computer Science, Software Engineering, AI/ML, or related field
• Advanced degree preferred but not required with relevant experience
• Strong proficiency in C# and Python with 3+ years of professional experience
• Experience with Azure cloud services (Azure Functions, Cognitive Services, Container Instances, Service Bus)
• Solid understanding of LLM architectures and prompt engineering techniques
• Experience with vector databases (Pinecone, Weaviate, Azure Cognitive Search) for semantic memory
• Knowledge of state management patterns and distributed systems
• Experience with REST APIs and asynchronous programming
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Understanding of software design patterns and clean architecture principles

• Experience building or working with autonomous agents, chatbots, or conversational AI
• Understanding of agentic concepts: goal‑driven behavior, planning, tool use, and self‑reflection
• Knowledge of context management strategies including sliding windows, summarization, and selective retrieval
• Familiarity with agent frameworks (Lang Chain, Agent Framework, or similar)
• Experience with function calling/tool use patterns in LLMs
• Understanding of RAG (Retrieval Augmented Generation) architectures
• Knowledge of agent safety, alignment, and responsible AI practices

• Experience with other cloud platforms (AWS, GCP)
• Knowledge of reinforcement learning or planning algorithms
• Familiarity with knowledge graphs and ontologies
• Experience with streaming architectures for real‑time…