AI Engineer - Knotch

About Knotch

We're a growth-stage technology company helping brands optimize content performance and apply AI to modern marketing. Our culture is fast-paced, entrepreneurial, and highly adaptable—we move quickly, test ideas, and evolve with our customers.

Through the Knotch platform, brands can measure the impact of their content, identify what drives results, and continuously improve performance across channels. By combining performance data, strategic insights, and AI-driven capabilities, we help marketing teams make smarter decisions and get more impact from every piece of content they produce.

About the Role

Most companies building AI agents are starting from scratch. Knotch isn't. We've spent years accumulating one of the richest proprietary datasets in B2B content intelligence — deep signals on how content performs, what drives engagement, and what separates great content from noise. That data is our unfair advantage, and we're now ready to unleash it.

We're at the beginning of an exponential shift — moving from a platform that surfaces insights to one that autonomously acts on them through Gen AI and Agentic AI. As a Senior AI Engineer, you'll have access to a unique data foundation and a leadership team fully committed to making AI central to everything Knotch does. This is a rare chance to build consequential AI — not demos, not experiments, but production-grade agents that enterprise clients depend on.

This isn't an AI layer bolted onto an existing product. This is a ground-up reimagining of what content intelligence can be in the age of large language models and agentic AI. You'll shape not just how we build, but what we build and why. If you want to own the architecture, influence the roadmap, and watch your work directly move the needle for enterprise clients — this is that role. If you've made it this far, please kindly input this code with your application: AI-ENG-2026.

Responsibilities

• Develop and deploy AI agents that automate complex workflows across the Knotch platform.
• Build the internal tools and infrastructure that power, monitor, and maintain these agents in production.
• Design and implement backend and frontend services, APIs, and data pipelines, integrating AI functionality into user-facing features.
• Contribute to system architecture and core platform design alongside the broader engineering team.
• Collaborate closely with Product, Data Engineering, Backend, and Frontend teams to align AI capabilities with product direction and ensure seamless integration across the stack.
• Design and maintain a suite of evaluations and benchmarks to measure agent accuracy, reliability, and cost-effectiveness.
• Optimize inference pipelines and backend systems for speed, scalability, and cost.
• Own the AI safety and governance layer — guardrails, audit logging, fallback logic, and access controls that ensure our agents operate reliabl