Staff Software Engineer - AI Platform

Job summary

Cap*** is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges.

Benefits

Qualifications

• 8+ years of professional software engineering experience with demonstrated progression into staff-level technical leadership
• Deep expertise in LLM orchestration: production experience building agent frameworks, including agent design patterns, tool integration, and workflow optimization
• Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization
• Track record of setting technical strategy that spans multiple teams and multi-year time horizons
• Experience partnering with senior leadership (Directors, VPs) to align technical direction with business objectives
• Demonstrated ability to make high-stakes technical decisions under extreme ambiguity
• Strong mentorship track record, particularly in developing senior engineers toward staff-level impact
• Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space
• Strong proficiency in Python and experience with Django or similar backend frameworks
• Full-stack capabilities with React and TypeScript
• Experience building and scaling internal AI/ML platforms or developer experience infrastructure
• Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)

Responsibilities

• You'll be responsible for technical choices that affect the entire organization, from platform design to engineering-wide quality standards.
• As the technical anchor on a small, high-impact team, you'll lead by influence across organizational boundaries.
• You'll drive alignment between product teams consuming the Agentic SDK and the platform capabilities we build.
• You'll establish the bar for engineering excellence and invest deeply in coaching P4 engineers toward staff-level impact.
• You'll shape not just the technology, but the culture and practices that scale with the organization.
• Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision
• Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns
• Own technical decisions with organization-wide impact where the right answer is ambiguous or contested
• Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams
• Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities
• Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking
• Represent Cap***'s technical perspective in industry discussions, open-source contributions, or technical publications

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