Staff Software Engineer - AI Platform

Staff Software Engineer - AI Platform

Responsibilities

• 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 CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications

What you’ll do

• Architect and lead the technical strategy for AI platform development
• Define and maintain architectural direction for AI capabilities across product teams
• Establish quality standards and scalable engineering practices for AI development
• Mentor and coach engineers toward staff-level impact
• Collaborate with senior leadership to align technology with business objectives

Who you are

• 8+ years of professional software engineering experience with progression into staff-level technical leadership
• Deep expertise in LLM orchestration, production experience building agent frameworks, 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 spanning multiple teams and multi-year horizons
• Experience partnering with senior leadership to align technical direction with business objectives
• Demonstrated ability to make high-stakes technical decisions under ambiguity
• Strong mentorship track record developing senior engineers toward staff-level impact
• Curiosity and continuous learning in the rapidly evolving AI/LLM space

Requirements

• 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

Bonus Points

• 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)
• Deep expertise in advanced agent architectures: multi-agent coordination, autonomous planning, or complex tool ecosystems
• Experience with AI evaluation, observability, and production monitoring at enterprise scale
• Published technical writing, conference talks, or significant open-source contributions in AI/ML
• Background building AI-powered products that shipped to enterprise customers with measurable business impact
• Experience at a B2B SaaS company during periods of significant growth or platform expansion
• Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains

Benefits & Perks

Team & Company Context

• Reference to Agentic SDK team, an internal developer platform enabling product teams to build AI-powered features
• Greenfield opportunity to define how AI gets built at CaptivateIQ