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.