CaptivateIQ

software engineer AI platform

In short

Senior/staff-level software engineer role setting multi-year AI platform strategy at CaptivateIQ, a Sales Performance Management SaaS company. The role involves architecting LLM orchestration frameworks, MCP infrastructure, and agent patterns across multiple product teams, plus coaching other engineers toward staff-level impact. Requires 8+ years of engineering experience with deep LLM/agent orchestration expertise and the ability to partner with Directors and VPs on technical strategy. Fully remote, includes an after-hours on-call rotation.

About CaptivateIQ
CaptivateIQ provides a Sales Performance Management platform that helps enterprises design, manage, and optimize incentive compensation programs. The company is expanding into sales planning and enterprise performance management, with a focus on AI innovation.
Responsibilities
•Set the multi-year technical strategy for AI platform development with senior EPD leadership
•Architect foundational AI systems for multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns
•Own technical decisions with organization-wide impact in ambiguous or contested areas
•Define engineering-wide quality standards and best practices for AI development
•Align the Agentic SDK team with product teams using AI capabilities
•Coach P4 engineers toward staff-level scope and strategic thinking
•Represent CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications
•Participate in an on-call rotation to provide after-hours support, resolve critical issues, and maintain system uptime
Requirements
•8+ years of professional software engineering experience, with progression into staff-level technical leadership
•Deep expertise in LLM orchestration, including 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 across multiple teams and multi-year time horizons
•Experience partnering with senior leadership, including Directors and VPs, to align technical direction with business objectives
•Ability to make high-stakes technical decisions under extreme ambiguity
•Strong mentorship track record, particularly developing senior engineers toward staff-level impact
•Demonstrated curiosity and continuous learning in the AI/LLM space
Nice to have
Python proficiency, Django or similar backend frameworks, React, TypeScript, internal AI/ML platforms, developer experience infrastructure, LangChain, LangGraph or equivalent, advanced agent architectures, AI evaluation, observability, production monitoring at enterprise scale, technical writing, conference talks, open-source contributions in AI/ML, AI products shipped to enterprise customers with measurable business impact, experience at a growing B2B SaaS company, sales performance management, incentive compensation, or adjacent enterprise domains.
Conditions
•After-hours on-call rotation
•CaptivateIQ works with a third-party Employer of Record to handle compliance, payroll, and, as applicable, benefits

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