CaptivateIQRemote
Staff Software Engineer - AI Platform
United States of America
Full Time
19 hours ago
No H1B
Key skills
LLM orchestrationAgent design patternsTool integrationWorkflow optimizationMCP integrationsTool server architectureEmbedding pipelinesContext optimizationTechnical strategyPythonDjangoReactTypeScriptAI evaluationProduction monitoringAI/ML platformsDeveloper experience infrastructureLangChainLangGraphMulti-agent coordinationAutonomous planningEnterprise AI productsSales performance managementIncentive compensationStrategic thinkingAIMLLLMAgenticSaaSLeadershipSales
About this role
CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. We're looking for a Staff Software Engineer to set the technical strategy for our Agentic SDK team, focusing on building AI capabilities that will enhance how enterprises manage sales performance.
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
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
- 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