Lead Associate | GenAI Engineering | Bengaluru | Engineering as a Service/ Operate
Deloitte (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead the design and implementation of Generative AI solutions using LLMs (e.g., GPT, Claude, LLaMA) and RAG pipelines.
- Develop and optimize vector database pipelines (ChromaDB, Databricks Mosaic ML Vector Stores) for AI workflows.
- Build and maintain agentic conversational AI agents and collaborate with backend/app teams to integrate GenAI capabilities.
Minimum Requirements
- Experience with LLMs, prompt engineering, transformer architectures, and RAG architectures including vector search and embedding models.
- Proficiency in Python and relevant libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face.
- Familiarity with agentic frameworks like AutoGen, OpenAI, CrewAI, or LangGraph.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong technical expertise in Generative AI and hands-on experience with building agentic AI applications and workflows.
- Experience working with vector databases and knowledge of deployment of AI models via APIs or microservices.
- Background in Computer Science, AI, or related field with familiarity in cloud platforms and CI/CD pipelines.