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.