Senior Agentic Engineer

What you'll do

• Design and build multi-agent systems using LLM orchestration frameworks
• Implement AI orchestration use cases for 4+ clients focusing on low external dependency scenarios
• Build agentic wrappers around existing data science models (MMM, forecasting, RBA, incrementality) for conversational querying
• Set up and configure Genie spaces for client data exploration and self-service analytics
• Develop tool-use patterns connecting agents to Databricks, Power BI, and other platform APIs
• Write production-grade Python code with proper error handling, logging, and monitoring
• Collaborate with Data Scientists to understand model inputs/outputs and build reliable agent interfaces
• Participate in architecture reviews and contribute to agentic design patterns and reusable components

Requirements

• 5+ years of software engineering experience with strong Python skills
• 2+ years hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks)
• Experience with at least one agent orchestration framework (LangChain, LangGraph, AutoGen, CrewAI)
• Understanding of API design, microservices, and event-driven architectures
• Experience with cloud platforms (Azure preferred)
• Familiarity with vector databases, embeddings, and retrieval-augmented generation patterns
• Strong debugging and problem-solving skills in distributed systems
• Comfort working in a fast-moving team that ships iteratively

Tech stack