Principal Software Engineer

Qualifications

• An AI Expert in Multi-agentic solutions.
• Demonstrated experience building real AI solutions — agents, assistants, copilots, or skills — that shipped and got used, not just prototyped.
• Deep, hands-on familiarity with modern agent frameworks and developer tooling (agent SDKs such as the Top 3 providers SDKs (Claude, OpenA and Google), thorough understanding and use of SKILL.md skills standard, plus the judgment to know which to reach for when.
• Strong evaluation discipline: building test sets, defining metrics, and measuring quality, safety, and reliability before and after deployment.
• Proficiency in Python and comfort integrating APIs, tools, and cloud services (AWS, Azure, or GCP) with containerization (Docker, Kubernetes).
• Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent professional experience.
• Have run NPS at a company where the number was reported externally or to a board, with the scrutiny that brings
• Know the difference between a journey map that generated consensus and one that generated decisions
• Have worked across both product and post-sale organizations and can speak either language