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.