Agentic AI Developer

Intuitive•San Francisco, CA

About The Position

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.

Requirements

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 (LangChain, 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
Strong problem-solving abilities with creative approaches to complex challenges
Excellent communication skills to explain technical concepts to diverse stakeholders
Self-directed learner comfortable with rapidly evolving AI landscape
Collaborative mindset with experience in agile development
Attention to detail, especially regarding edge cases in agent behavior
Passion for building AI systems that augment human capabilities
Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or related field

Nice To Haves

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 agent responses
Understanding of multi-modal AI (vision, speech integration)
Contributions to open-source AI/ML projects
Experience with agent evaluation and testing frameworks
Advanced degree preferred but not required with relevant experience

Responsibilities

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