Exp : 8-10 years
Shift Timings: 06.30 P.M. - 03.30 A.M. (IST)
Work Mode : Remote
Notice Period : Immediate

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
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
Robust 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

📌 Senior Agentic Engineer (India)
🏢 Dentsu Global Services
📍 India