• Design and ship agentic systems end-to-end — tool calling, sub-agent orchestration, memory, durable state, and failure recovery. • Build evaluation frameworks from the ground up — golden datasets, regression harnesses, and systematic approaches to measuring whether your AI systems actually work. • Own AI features from prototype to production: observable, maintainable, cost-aware. • Work with product and domain engineers to identify where AI has real leverage — and where it doesn't. • Contribute to how we build AI across the org: patterns, tooling, and standards that others build on. • Manage the operational economics of AI systems — latency, token cost, context efficiency — as first-class engineering concerns.

• Develop and maintain applications using Python (back end) and React (front end). • Use AI tools extensively (coding assistants, AI-assisted development) to accelerate delivery and solve complex problems. • Navigate and contribute to large, complex legacy codebases autonomously. • Develop web applications with JavaScript/TypeScript and ReactJS, including unit and end-to-end tests (Playwright). • Work with AWS services (Lambda, S3, DynamoDB, Aurora, among others). • Ensure adherence to coding standards and perform code reviews, ensuring scalable, high-performance applications. • Contribute improvements to DevOps processes and cloud infrastructure when necessary. • Participate in the full software development lifecycle (SDLC).

Develop software applications and tests, automate processes, and enhance application security. Leverage metrics for decisions and analyze industry requirements to provide insights for an enterprise-wide data inventory effort.

We are looking for a** FullStack Engineer **with a strong backend focus to help build and scale Enterprise products. You will work closely with Product and Engineering teams to develop partner-facing experiences, widgets, and internal applications. **Responsibilities - Build and maintain frontend applications, widgets, partner portals, and landing pages. - Design and implement backend services and APIs. - Prototype new partner integrations and B2B solutions. - Work closely with Product Managers and Designers from requirements to production. - Own features end-to-end, including deployment and support. - Participate in code reviews and architecture discussions. - Actively leverage AI tools to accelerate development and increase productivity.