Senior AI Engineer

📋 Description

• Integrate Generative AI models with APIs and data stores securely.
• Design and deploy AI workflows and Agentic AI solutions for autonomous tasks.
• Implement and optimize multi-agent systems with MCP and interoperability.
• Develop evaluation metrics for agent autonomy, performance, safety.
• Ensure robust AI agent ops with observability and MLOps.
• Collaborate with data experts on model selection and validation.

🎯 Requirements

• Design AI architectures with Generative AI, NLP, LLMs.
• Build platforms with Python/Django, Java/Spring, TypeScript/Express for APIs.
• Assess trade-offs among generative AI models and pick the right model.
• Experience with function-calling and tool integration into LLMs using MCP.
• Expertise in embeddings, vector DBs, and chunking for performance.
• CI/CD tooling (GitHub Actions, Jenkins, CodeDeploy, Azure Pipelines).

🎁 Benefits

• Bonus: Agentic AI orchestration frameworks (ADK, LangGraph, OpenAI Agents SDK).
• Kubernetes deployment for scalable AI solutions.
• Equal Opportunity Employer.