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:

• 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.