Lead Agentic AI Engineer/Architect
Dentsu
Lead Agentic AI Engineer/Architect
Job Description
Job Description:Required Qualifications4+ years of experience with strong Python skills2+ 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 architecturesExperience with cloud platforms (Azure preferred)Familiarity with vector databases, embeddings, and retrieval-augmented generation patternsStrong debugging and problem-solving skills in distributed systemsComfort working in a fast-moving team that ships iterativelyPreferred QualificationsExperience with Databricks and/or GenieBackground in media, advertising, or marketing technologyExperience building conversational interfaces or chatbot systemsFamiliarity with MLOps practices and model serving infrastructureOpen-source contributions or personal projects demonstrating agentic AI workLocation:DGS India - Bengaluru - Manyata N1 BlockBrand:DentsuTime Type:Full timeContract Type:Permanent
Locations
- DGS India - Bengaluru - Manyata N1 Block
- DGS India - Gurugram - Golf View Corporate Towers
Skills Required
- strong Python skillsintermediate
- with LLMsintermediate
- at least one agent orchestration frameworkintermediate
- cloud platformsintermediate
- vector databasesintermediate
- Databricks and/or Genieintermediate
- mediaintermediate
- conversational interfacesintermediate
- MLOps practicesintermediate
Required Qualifications
- 4+ years of experience with strong Python skills (experience, 4 years)
- 2+ year hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks) (experience, 2 years)
- Experience with at least one agent orchestration framework (LangChain, LangGraph, AutoGen, CrewAI) (experience)
- Understanding of API design, microservices, and event-driven architectures (experience)
- Experience with cloud platforms (Azure preferred) (experience)
- Familiarity with vector databases, embeddings, and retrieval-augmented generation patterns (experience)
- Strong debugging and problem-solving skills in distributed systems (experience)
- Comfort working in a fast-moving team that ships iteratively (experience)
- 4+ years of experience with strong Python skills (experience, 4 years)
- 2+ year hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks) (experience, 2 years)
- Experience with at least one agent orchestration framework (LangChain, LangGraph, AutoGen, CrewAI) (experience)
- Understanding of API design, microservices, and event-driven architectures (experience)
Preferred Qualifications
- Familiarity with vector databases, embeddings, and retrieval-augmented generation patterns (experience)
- Strong debugging and problem-solving skills in distributed systems (experience)
- Comfort working in a fast-moving team that ships iteratively (experience)
- Experience with Databricks and/or Genie (experience)
- Background in media, advertising, or marketing technology (experience)
- Experience building conversational interfaces or chatbot systems (experience)
- Familiarity with MLOps practices and model serving infrastructure (experience)
- Open-source contributions or personal projects demonstrating agentic AI work (experience)
- Experience with Databricks and/or Genie (experience)
- Background in media, advertising, or marketing technology (experience)
- Experience building conversational interfaces or chatbot systems (experience)
- Familiarity with MLOps practices and model serving infrastructure (experience)
- Open-source contributions or personal projects demonstrating agentic AI work (experience)
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