AI Engineer - Pune or Kolkata - 17 Jun (Wed) - Virtual Interview
- Source: Naukri
- Tata Consultancy Services
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
- AI Application Development: Design and implement production-grade LLM applications using Python.
- RAG Architecture: Build, optimize, and maintain advanced RAG pipelines for contextual data retrieval.
- System Integration: Implement Model Context Protocol (MCP) to securely connect LLMs to data sources and tools.
- Cloud Infrastructure: Deploy, scale, and monitor AI workloads on AWS (e.g., Bedrock, SageMaker, ECS, Lambda).
- Data Engineering: Manage vector databases (e.g., Pinecone, Milvus, pgvector) for efficient embedding storage and semantic search.
- Version Control & CI/CD: Maintain clean code repositories using Git and automate deployment pipelines.
- Performance Tuning: Optimize LLM prompts, context windows, chunking strategies, and inference costs. [1, 2, 3, 4, 5]
Skills
- Python
- amazon-web-services
- bedrock
- amazon-sagemaker
- amazon-ecs
- aws-lambda
- Milvus
You missed this one - but you don't have to keep missing out. Try Club members get matched with open opportunities before they're gone, so you're always first in line, never last.
