Staff Software Engineer - AI Platform

CaptivateIQ - United States

Engineer Verified Jun 11, 2026 Source: captivateiq.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

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

Qualifications

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

Apply on the original posting