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12 hours ago

Bangalore Urban, India Tata Consultancy Services Full time

Job Title: AI EngineerLocation- Pan IndiaExperience- 4 to 8 yearsJob Description-Key Responsibilities:• Design and implement AI solutions using Gen AI, Agentic AI, and LLMs.• Build and orchestrate intelligent agents using LangChain, LangGraph, and Model Context Protocol (MCP).• Develop agent-to-agent communication using Agent to Agent Protocols.• Apply Prompt Engineering, Distillation, and Fine-tuning techniques to optimize model performance.• Integrate RAG (Retrieval-Augmented Generation) pipelines with Vector DBs and Embeddings.• Ensure ethical AI development by applying GuardRails, Responsible AI principles, and staying compliant with AI Ethics and Regulations.• Deploy AI models using Docker, Kubernetes and other GenAI deployment tools.• Collaborate with cross-functional teams to deliver scalable and secure AI solutions.• Stay updated with the latest advancements in multi-modal AI, LLMs, and cloud-native AI platforms.Experience with any of the following Cloud Native AI Services:• Azure: Azure AI Foundry, Azure AI Agents, Azure AI Search, Azure OpenAI, Document Intelligence,• AWS: Bedrock, Amazon Q, Amazon SageMaker• Google Cloud Platform (GCP): Vertex AI, Model Garden, Agentspace, Cloud Run, GKE, Agent Engine , Compute Engine• Experience with CI/CD pipelines (Azure DevOps, GitLab CI, Jenkins), infrastructure as code (Terraform, CloudFormation, Azure Bicep), and monitoring/logging tools.Qualifications:• Bachelor’s / master’s degree in engineering or technology• Proven experience in building and deploying AI/ML solutions in production.• Strong understanding of AI model lifecycle, MLOps, and cloud-native architectures.• Excellent problem-solving, communication, and collaboration skills.Certifications: Azure AI Engineer, AWS Certified Machine Learning, Google Cloud Professional ML Engineer, and relevant AI/ML certifications.

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