Senior Software Engineer - AI Platform

This is a technical leadership role on a small, high-impact team.

You'll own the technical roadmap for complex AI projects, making architectural decisions that shape how AI gets built across the organization.

Working across the full stack, from React/TypeScript frontends to Python backends and LLM orchestration systems, you'll define patterns and best practices that other engineers will follow.

You'll lead by example: shipping high-quality code, mentoring teammates, and making challenging technical decisions when the path forward isn't clear.

As one of five engineers pioneering AI at CaptivateIQ, you'll have direct influence on team-level outcomes and accountability for alignment to our technical strategy.

This is a greenfield opportunity with outsized impact.

You'll help establish the foundations of our AI platform while coaching P3 engineers and contributing to the engineering culture that will scale with the company.

• Define and own the technical roadmap for complex AI platform initiatives, driving semi-annual and annual milestones
• Architect and implement production-grade LLM orchestration systems, including agent frameworks, tool calling, and multi-step reasoning workflows
• Design MCP integrations and knowledge management systems, including tool orchestration, embedding strategies, and context optimization
• Lead technical design for cross-functional AI features, making challenging decisions when trade-offs are unclear
• Establish coding standards, review practices, and architectural patterns for AI development across the Agentic SDK team
• Coach and mentor P3 engineers, helping them grow toward senior-level scope and autonomy
• Partner with product teams to translate ambiguous business needs into technical solutions, ensuring alignment to company strategy
• 5+ years of professional software engineering experience with demonstrated progression into technical leadership
• Deep proficiency in Python with experience architecting production backend systems (Django strongly preferred)
• Strong frontend development skills with React and TypeScript, including experience with complex state management
• Significant hands-on experience with LLM APIs and building orchestration systems (agent workflows, tool calling, multi-step reasoning)
• Experience designing and implementing MCP integrations, including tool servers, embedding models, and context management strategies