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