Senior AI Engineer

Responsibilities

• Integrate Generative AI models (LLMs) with external APIs, tools, and databases using secure and efficient orchestration patterns.
• Design, develop, and deploy AI workflows and Agentic AI solutions, orchestrating intelligent agents to plan and perform tasks with autonomous and/or human-in-the-loop paradigms.
• Implement and optimize multi-agent systems, leveraging standards and protocols such as Model Context Protocol (MCP) and emerging frameworks for agent interoperability.
• Develop evaluation frameworks, metrics, and checkpoints for agent autonomy, performance, and safety, ensuring compliance with moderation, security, and ethical standards.
• Ensure robust AI agent operations by applying observability, monitoring, and MLOps best practices, facilitating reliable deployment pipelines and continuous performance optimization.

Culture

Requirements