Software Engineer - AI Platform

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CaptivateIQ

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AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

About CaptivateIQ

CaptivateIQ is the leading Sales Performance Management platform, helping enterprises design, manage, and optimize their incentive compensation programs. Backed by Sequoia, Accel, and Y Combinator.

About the Role

CaptivateIQ is building AI capabilities that will transform how enterprises manage sales performance. We're looking for a 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 foundational role on a small, high-impact team. You'll work across the full stack, from React/TypeScript frontends to Python backends, while integrating LLM orchestration and MCP (Model Context Protocol) systems. As one of five engineers pioneering AI at CaptivateIQ, you'll have outsized ownership and influence.

Responsibilities:

  • Design and implement AI-powered features end-to-end, from React frontends through Python services to LLM integrations
  • Build and maintain components of our Agentic SDK, enabling other engineering teams to leverage AI capabilities
  • Develop LLM orchestration workflows, including prompt engineering, tool calling, and agent design patterns
  • Implement MCP integrations and knowledge systems, connecting LLMs to tools, databases, and external services
  • Partner with product teams to translate requirements into technical solutions

Requirements:

  • 3+ years of professional software engineering experience
  • Strong proficiency in Python with experience building production backend services (Django preferred)
  • Solid frontend development skills with React and TypeScript
  • Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar)
  • Experience building LLM-powered workflows, including agent orchestration, tool calling, or multi-step reasoning systems

Bonus Points:

  • Experience with MCP servers, vector databases (Pinecone, Weaviate, Chroma), or embedding models
  • Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
  • Experience building internal developer platforms, SDKs, or shared infrastructure
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