Tata Consultancy ServicesHyderabad, Republic Of India, IN
13 days ago
Job description
Job ID : 374868
Location : Hyderabad
Click here to apply : https : / / lnkd.In / gc9FuMHw
Key Responsibilities :
Lead the design, development, and optimization of GenAI agents using Google Vertex AI, Azure AI, or similar platforms.
Architect and implement end-to-end AI solutions using LLMs, APIs, vector databases, and enterprise data sources.
Build RAG-based (Retrieval-Augmented Generation) pipelines and implement prompt engineering and model fine-tuning.
Integrate with vector databases such as FAISS, Pinecone, Weaviate, or Milvus to enable intelligent search and retrieval.
Optimize and maintain scalable AI / ML pipelines for performance, cost-efficiency, and maintainability.
Collaborate with cross-functional teams to gather requirements, define AI strategies, and lead delivery efforts.
Mentor junior developers and establish best practices for AI development and deployment.
Mandatory : Must be available to work from the office 5 days a week.
Required Skills :
Proven experience as a Senior AI Engineer, ML Engineer, or AI Solutions Architect.
Strong Python skills and hands-on experience with LLMs, GenAI tools, and AI / ML libraries.
Experience with cloud AI platforms (Google Vertex AI, Azure AI, AWS Bedrock, etc.).
Knowledge of vector search technologies and embedding-based retrieval.
Strong understanding of MLOps, model lifecycle management, and scalable AI deployment.
Hands-on experience on RAG-based applications.
Hands-on experience on prompt engineering along with creation of prompt flow.
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Generative Ai Engineer • Hyderabad, Republic Of India, IN
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