Staff Software Engineer - Applied AI

The Staff Software Engineer - Applied AI will architect and develop systems, tools, and agents that leverage existing foundational AI models to deliver impactful AI-powered solutions. This role requires an expert generalist with deep technical skills who can integrate AI capabilities across diverse technology stacks and platforms.

The engineer will work in a fast-paced innovation lab environment, driving test-and-learn experiments focused on system design, scalability, and seamless AI service integration. You will translate business needs into technical implementations that unlock business potential and develop proof-of-concept solutions to address some of the company's most exciting problems.

Key Responsibilities:

• Translate high-level business problems into functional AI solutions by creating and executing end-to-end solutions.
• Design, build, and maintain backend services and APIs that deploy and integrate AI-powered features using existing foundational models (e.g., OpenAI, Claude, Hugging Face).
• Implement scalable, reliable, and maintainable backend architecture supporting AI workflows, automation, and data processing pipelines.
• Integrate AI services into complex technology stacks, ensuring interoperability with microservices, AWS platform, and data systems (Snowflake).
• Enable rapid test-and-learn cycles by building experimentation frameworks that support iterative deployment of AI-driven functionalities.
• Collaborate closely with cross-functional teams, including product managers, data scientists, and frontend engineers, to translate business needs into technical implementations.
• Stay abreast of the AI ecosystem, frameworks, and tools to guide implementation decisions and technical evaluations for adopting new AI capabilities.
• Document backend system designs, APIs, workflows, and integration patterns clearly for team knowledge sharing and operational continuity.