Senior Software Engineer - AI Platform
AI Tools
Tech Stack
Agent Workflow
Architect production-grade LLM orchestration systems including agent frameworks, tool calling, and multi-step reasoning. Design MCP integrations and knowledge management systems.
About the Role
About CaptivateIQ
CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. Recognized by Forrester and G2 and backed by Sequoia, ICONIQ, Accel, and Sapphire Ventures, we empower high-growth companies like Netflix, Figma, and Stripe.
About the Role
We're looking for a Senior Software Engineer to join our Agentic SDK team, an internal developer platform that enables product teams across the company to build AI-powered features. 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.
Responsibilities:
- Define and own the technical roadmap for complex AI platform initiatives
- 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
- Establish coding standards, review practices, and architectural patterns for AI development across the Agentic SDK team
- Coach and mentor engineers
Requirements:
- 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
- Significant hands-on experience with LLM APIs and building orchestration systems (agent workflows, tool calling, multi-step reasoning)
- Experience designing and implementing MCP integrations
Bonus Points:
- Deep expertise in agent architectures: multi-agent systems, tool use, planning algorithms, or memory systems
- Experience with prompt optimization, evaluation frameworks, or LLM observability tools
Salary:
- US locations: $154,500 - $224,540
- Toronto: $154,500 - $205,683