Backend Engineer, AI Content Agents

We’re building the future of AI driven marketing, one content agent at a time. As a senior engineer on the Content Agents team, you’ll help redefine how marketers create, personalize, and launch campaigns. You’ll design and ship intelligent systems that understand a company’s data, generate on-brand content, and collaborate with humans in real time to deliver creative work at unprecedented speed and scale.

We’re looking for an engineer who’s as comfortable shipping a full stack feature as experimenting with an LLM workflow. You’ll build APIs, data models, and orchestration layers that make our agents reliable, debuggable, and fast. You’ll also partner closely with product and design to deliver experiences that make AI feel natural, useful, and trustworthy.

Example workstreams include:

• Building and maintaining backend services, APIs, and data models that power AI-generated marketing content.
• Developing new agent behaviors, taking them from quick prototypes to scalable production systems.
• Extending our existing web layer with new features that connect directly to AI workflows.
• Improving reliability, observability, and performance across our stack.
• Collaborating cross functionally to ship user facing features end-to-end, from design to deployment.

If you’re motivated by frontier work where there’s no playbook yet, you’ll fit right in. No prior AI or LLM experience is required, but strong backend architecture skills, curiosity, and product intuition are essential to bring ideas from napkin sketch to production reality.

This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy.

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense and creativity with LLMs, ability to architect backend systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• System Design Screen [60m]: Designing a data processing feature end-to-end.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• Agent Building Systems Interview [75m]: Work with the interviewer to architect an agentic system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.