Staff Software Engineer

Technical Excellence & Architecture

- Design and implement complex AI-powered systems, establishing architectural patterns for agent orchestration, LLM integration, and multi-agent workflows that serve as organizational standards.
- Be hands-on with code, maintaining high technical standards through direct implementation of core features, technical spike work, and complex problem-solving.
- Ensure high standards of performance, scalability, reliability, and observability when architecting and developing AI systems, making trade-off decisions across safety, transparency, and compliance.
- Establish and enforce engineering best practices across the team (e.g., documentation, automation, code management, security principles, responsible AI development).
- Proactively identify and address technical debt, service health issues, and incidents. Utilize service health indicators and telemetry to drive action and implement operational excellence practices.
- Design reliable, safe, and observable AI systems, setting standards for multi-agent orchestration, tool and skill design, and prompt engineering practices across the organization.
- Contribute significantly to the R.I.D.E. (Recommend, Inform, Decide, Execute) framework as a technical expert and decision-maker.
- Demonstrate deep understanding of CI/CD pipelines from build, test, to deploy phases, and champion best practices in deployment strategy and risk management.

Technical Influence & Collaboration

- Influence architectural and technical decisions across teams, advocating for high standards in systems operating at the intersection of software and AI, particularly for probabilistic and non-deterministic systems.
- Foster a culture of service ownership and technical excellence through code reviews, technical discussions, and collaborative problem-solving.
- Drive engineering efficiency and quality through established patterns and best practices, promoting continuous improvement and innovation in development processes.
- Promote a growth mindset and drive organizational technical excellence, championing new technologies, frameworks, and responsible AI practices where appropriate.
- Lead cross-functional technical collaboration with product management, design, and operations to ensure alignment on technical feasibility, architectural decisions, and successful project delivery.
- Champion DevOps principles and full-stack ownership, demonstrating how to operate from requirements gathering through design, development, testing, deployment, and production support.

Technical Mentorship & Knowledge Sharing

- Mentor engineers at all levels through code reviews, technical pairing, and knowledge sharing, fostering a culture of learning, collaboration, and continuous improvement.
- Share technical expertise and provide guidance on complex problems, helping engineers develop skills in AI systems, agent design, and responsible AI practices.
- Stay current with LLMs, agent frameworks, AI evaluation techniques, and responsible AI practices, advocating for their adoption and establishing organizational standards that drive innovation and productivity.

Execution Excellence

- Drive the planning and execution of high-impact, complex technical projects, ensuring quality delivery aligned with business goals and timelines. Navigate technical tradeoffs and manage risks effectively.
- Align technical work with strategic direction, understanding business context and ensuring technical decisions support company objectives.
- Demonstrate engineering excellence and service ownership, including cost-conscious architecture, quality management, and proactive production support.
- Collaborate effectively with cross-functional teams (product management, design, operations) to ensure technical feasibility, alignment, and successful delivery. Communicate technical concepts clearly to stakeholders at all levels.
- Drive delivery of AI-powered features with careful attention to model lifecycle, evaluation pipelines, and responsible AI considerations alongside standard engineering risks.
- Make sound technical and deployment decisions with appropriate risk mitigation and clear communication of trade-offs.