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)
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
Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in .com, .com, .com, etc
Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology
Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ
Ask candidates to make a payment in order to be considered for a position
Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc
Please note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is made
CaptivateIQ works with a third-party Employer of Record to handle compliance, payroll, and as applicable benefits on our behalf
Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime