Director AI Engineering

In this role, you will build intelligent features and autonomous workflows that enhance user experiences.

You will work with large language models (LLMs), agentic frameworks, and orchestration tools to develop next-generation interfaces and intelligent assistants that support workflows.

Build robust orchestration and automation workflows integrating multi-agent capabilities.

Develop and maintain pipelines for training, benchmarking, validating, and deploying LLMs and autonomous agents into production environments.

Build and optimize intelligent tools and automation systems that improve efficiency and decision-making.

Ensure software quality through clean, maintainable, and optimized code, including support for efficient inference.

Provide technical leadership on best practices for AI integration, process design, documentation, lifecycle management, and security.

Drive adoption of AI solutions through collaboration, training, and thought leadership across teams.

Big data analytics with Agentic AI systems to create actionable insights from verified sources.

Present insights and outcomes to senior leadership, influencing strategic decisions.

Degree in Computer Science, Engineering, or a related quantitative field.

3+ years of experience in AI, automation, or advanced technology roles.

Experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows.

Strong proficiency in Python and familiarity with AI frameworks and libraries.

Hands-on experience with MCP and prompt engineering.

Understanding AI solutions for deployment and monitoring in enterprise environments is important.