Job Summary:

We are seeking a highly skilled and entrepreneurial Lead AI Applications Engineer to spearhead the development and deployment of cutting-edge applications built on generative AI models. This role focuses on translating state-of-the-art research into scalable, real-world products that drive measurable business impact.

Key Responsibilities:

• Lead the end-to-end development of AI-driven applications, from concept and prototyping to deployment in production environments
• Translate generative AI research into robust, user-centric product solutions
• Architect and implement solutions using AWS serverless infrastructure (Lambda, API Gateway, DynamoDB, etc.)
• Design and deploy AI Agents and Multi-Component Processing (MCP) servers at scale
• Collaborate cross-functionally with product, research, and engineering teams to bring early-stage ideas to market
• Optimize ML infrastructure and ensure high performance, scalability, and security in production systems

Required Qualifications:

• Proven experience in deploying AI/ML applications in production, especially AI Agents and MCP server architectures
• Strong command of Python and hands-on experience with cloud-native development on AWS
• Solid understanding of machine learning infrastructure, including model training, serving, and monitoring in real-world scenarios
• Demonstrated ability to own projects from zero to one — ideally with startup or early-stage product experience
• Familiarity with DevOps practices, CI/CD, and scalable microservices architecture