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Senior Agentic Engineer

Build multi-agent systems that automate client workflows using LLM orchestration frameworks
Bengaluru, Karnataka, India
Senior
yesterday

Job Title

Build multi-agent systems that turn data intelligence into automated, client-facing workflows. You will design and implement agentic architectures that make measurement models, data pipelines, and media optimization tools accessible through natural interfaces. The goal: solutions that are cheap to build, cheap to run, and easy for non-technical teams to use.

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

  • 5+ years of software engineering experience with strong Python skills
  • 2+ 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

Location: DGS India - Bengaluru - Manyata N1 Block

Brand: Merkle

Time Type: Full time

Contract Type: Permanent

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Senior Agentic Engineer
Bengaluru, Karnataka, India
Engineering
About Dan Global