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Job Type

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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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