Senior Agentic Engineer

Key Responsibilities Design and build multi-agent systems using LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or custom) 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) so they can be queried and used conversationally Set up and configure Genie spaces for client data exploration and self-service analytics Develop tool-use patterns that connect 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 the team's agentic design patterns and reusable components Required Qualifications 8+ years of software engineering experience with strong Python skills 1+ year 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 Preferred Qualifications Experience with Databricks and/or Genie Background in media, advertising, or marketing technology Experience building conversational interfaces or chatbot systems Familiarity with MLOps practices and model serving infrastructure Open-source contributions or personal projects demonstrating agentic AI work Exp : 8-10 years Shift Timings: 06.30 P.M. - 03.30 A.M. (IST) Work Mode : Remote