1 month ago
Pune, India +3 moreStaff+
Responsibilities
- Lead architecture for multi-agent systems, LLM orchestration, and AI automation workflows.
- Establish and maintain agentic engineering frameworks, testing, monitoring, deployment, and operational patterns.
- Design AI orchestration solutions for client implementations and build reusable agent components, tool-use libraries, and prompt templates.
- Set up and configure Genie spaces for client data exploration.
- Mentor and technically lead three Senior Agentic Engineers through code reviews and architecture discussions.
- Evaluate LLM providers and recommend model choices based on cost, latency, and performance tradeoffs.
- Bridge Data Science model outputs with efficient agentic deployment and model serving.
- Collaborate with the onshore Senior AI Engineer on architecture decisions and technical standards.
- Create technical documentation, runbooks, and operational playbooks for the agentic platform.
Requirements
- 12–15 years of software engineering experience, including at least four 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 using LangChain, LangGraph, AutoGen, or custom frameworks.
- Experience with Azure or comparable cloud infrastructure, container orchestration, and serverless patterns.
- Track record of mentoring engineers and improving engineering standards.
- Experience with MLOps, including model serving, monitoring, versioning, and cost management.
- Strong system design experience with distributed systems and API architecture.
- Excellent written communication for technical documentation and cross-time-zone collaboration.
- Preferred: experience with Databricks, Unity Catalog, and/or Genie.
- Preferred: background in media technology, adtech, or marketing analytics platforms.
- Preferred: experience with RAG architectures, vector databases, and semantic search at scale.
- Preferred: contributions to open-source AI/ML projects.
- Preferred: experience leading technical teams in a DGS or offshore delivery model.
Benefits
- Permanent, full-time position.
- Located in Bengaluru, Mumbai, Pune, or Gurugram; listed DGS India location is Bengaluru, Manyata N1 Block.
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About Dentsu
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next.