Senior AI Engineer

📋 Description Integrate Generative AI models (LLMs) with APIs/tools/databases via secure orchestration. Design, develop, and deploy AI workflows and Agentic AI solutions for autonomous agents. Implement and optimize multi-agent systems using MCP and interoperability frameworks. Develop evaluation metrics and checkpoints for agent autonomy, safety, and ethics. Ensure robust AI agent operations with observability and MLOps for reliable deployments. Collaborate with data experts to select, tune, and validate AI models. 🎯 Requirements Proven experience designing AI architectures with Generative AI, NLP, LLM integration. Strong background building platforms (Python/Django, Java/Spring, TS/Express) for API integration. Hands-on experience with function-calling and tools integration into LLM models via MCP. Expertise in data embeddings, vector databases, and chunking strategies. Experience using CI/CD tools (GitHub Actions, Jenkins, AWS CodeDeploy, Azure Pipelines). Practical experience deploying AI on cloud (AWS/Azure/GCP) with Bedrock and AI services.