Design and build major components of our agentic sales platform: orchestration, tools and skills, grounding, evals and observability, and model routing. Own components end to end, from prototype to production, including the harder judgment calls within your area. Contribute to the eval and Responsible AI bar for shipping agents in the Sales surface, with a focus on production-grade quality. Help raise the agent-engineering bar through code review, design review, and mentoring peers. Bring agentic patterns into the team's work and share what you learn. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience with at least one of C#, TypeScript, Python; comfortable across all three. Experience owning and ship significant features or architectural components end to end. 1+ year shipping LLM-based or agent-based systems in production, including hands-on experience with evals, observability, and debugging. Experience collaborating across teams: you can align with partners and move work forward together. Proficiency in AI-native development working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor. Experience shipping quickly with agentic tools Experience with public artifacts that show how you build with agents, such as shipped side projects, open-source contributions, technical writing, or talks. Experience standing up evals or observability for non-deterministic systems. Experience contributing to the safety posture of a multi-tenant system, including prompt-injection defenses and audit trails.