AI Engineer

1 day ago

bangalore, India Tata Consultancy Services Full time

Job Title: AI Engineer Location- Pan India Experience- 4 to 8 years Job 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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