AI Engineer
Tata Consultancy ServicesDelhi, India7 days ago
Job descriptionAzure : 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. 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.
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 :
Qualifications :
Certifications : Azure AI Engineer, AWS Certified Machine Learning, Google Cloud Professional ML Engineer, and relevant AI / ML certifications.
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Ai Engineer • Delhi, India
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