Job Description:
Required Qualifications
4+ years of 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 BlockBrand:
DentsuTime Type:
Full timeContract Type:
PermanentSkills Required
- 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 including container orchestration and serverless patterns (Azure preferred)
- 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
- 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
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
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
