AI Engineer

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:

Bachelors / masters 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.