• Drive technical and architectural decisions to meet product requirements while also anticipating and designing for future needs. • Lead teams technically to drive production ready code. • Design and develop new software and enhance existing software for clients’ systems, and for Cority’s base software. • Communicate directly with Product Owners to ensure that requirements and specifications are understood. • Develop high-quality software and is an advocate of automation frameworks for testing, integration, and deployment. • Review completed software designs or prototypes with team and participates in code reviews • Tracks sprint work and provides proper transparency/visibility to their team • Provide support and maintenance. • Own one or more functional area’s or projects and help breakdown task into manageable stories. • Mentor junior developers. • Open to learning and working with modern technologies as required in the project.

• Collaborate with Product and Network and Agent Experience team engineers to design, create, and maintain features for Proof's customers and users • Write quality code with a high degree of autonomy, meeting standards for performance and reliability • Use AI tools in your day-to-day coding, review, and deployment processes to work more effectively and deliver a quality experience for our customers • Drive project scoping activities and discussions around requirements and trade-offs • Troubleshoot complex technical issues in production, pertaining to team's areas of ownership • Drive improvements, collaboration, and best practices through code reviews and mentoring • Proactively write and maintain technical documentation • Participate in production on-call rotation several times a year, after receiving in-depth training

• Collaborate with cross-functional teams to design, implement, and maintain scalable software systems • Build resilient infrastructure for serving data at scale and with high availability • Drive technical planning and contribute to the overall engineering strategy • Develop and maintain continuous integration and deployment processes • Work on innovative solutions for advanced and challenging data and systems problems • Contribute to code reviews, unit testing, and development strategies in an agile environment • Influence culture, recruit new engineers, and help shape a rapidly growing startup

• Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs • Drive innovation by taking AI prototypes from concept to production at scale • Shape the future of how Airbnb employees work, collaborate, and discover information • Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, agent orchestration, and prompt optimization • Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce • Architect and build production-ready AI/ML-integrated systems, ensuring scalability, reliability, and low latency across multi-cloud environments • Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making • Implement evaluation pipelines and quality systems to measure model performance, safety, and user satisfaction • Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response • Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs • Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions • Stay current with emerging AI technologies and evaluate their applicability to employee experience products • Balance hands-on technical contributions with technical leadership activities