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Dentsu Aegis Network

Staff AI Engineer

Bengaluru, India
Python Azure LangChain LangGraph AutoGen Databricks API AI Machine Learning LLM
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Description

Staff AI Engineer Director

Location: DGS India - Bengaluru - Manyata N1 Block

Time Type: Full time

Job Description

Job Description:

Role Summary

Serve as the technical anchor for Dentsu's agentic AI engineering team in DGS. You will lead architecture decisions for multi-agent systems, set engineering standards, and mentor a growing team of agentic engineers. This is a hands-on leadership role: you write code, review code, and set the technical direction while the Senior Director handles the VP-level strategy and stakeholder management.

Key Responsibilities

  • Lead technical architecture for multi-agent systems, LLM orchestration, and AI automation workflows
  • Set up and maintain the agentic engineering stack: frameworks, CI/CD, testing, monitoring, and deployment patterns
  • Own the technical design for AI orchestration use cases across 4+ client implementations
  • Build and maintain reusable agent components, tool-use libraries, and prompt templates
  • Lead Genie space setup and configuration for client data exploration
  • Mentor and technically lead 3 Senior Agentic Engineers, conducting code reviews and architecture discussions
  • Evaluate LLM providers (model selection, cost optimization, latency tradeoffs) and recommend choices
  • Bridge the gap between Data Science model outputs and agentic deployment, ensuring models are served efficiently
  • Collaborate with the onshore Senior AI Engineer on shared architecture decisions and technical standards
  • Contribute to technical documentation, runbooks, and operational playbooks for the agentic platform

Required Qualifications

  • 7+ years of software engineering experience with at least 2 years in AI/ML engineering
  • Deep expertise in Python and production-grade software architecture
  • Hands-on experience building and deploying LLM-powered applications at scale
  • Strong knowledge of agent orchestration patterns (LangChain, LangGraph, AutoGen, or custom frameworks)
  • Experience with cloud infrastructure (Azure preferred) including container orchestration and serverless patterns
  • Track record of mentoring engineers and raising team engineering standards
  • Experience with MLOps: model serving, monitoring, versioning, and cost management
  • Strong system design skills with experience in distributed systems and API architecture
  • Excellent written communication for technical documentation and cross-timezone collaboration

Preferred Qualifications

  • Experience with Databricks, Unity Catalog, and/or Genie
  • Background in media technology, adtech, or marketing analytics platforms
  • Experience with RAG architectures, vector databases, and semantic search at scale
  • Contributions to open-source AI/ML projects
  • Experience leading technical teams in a DGS/offshore delivery model

Location:

DGS India - Bengaluru - Manyata N1 Block

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent
Dentsu Aegis Network
Dentsu Aegis Network

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