They are building systems that help companies understand and control how they appear in AI-driven search experiences. As a Backend Engineer, you will build and optimize the infrastructure behind these systems. You will design scalable APIs, process large datasets efficiently, and ensure high-performance systems that support AI-driven insights.

What you’ll do

• Architect and develop high-performance backend systems that support AI-driven analytics

• Build and maintain scalable APIs to power real-time insights and data retrieval

• Optimize data processing pipelines to handle large-scale structured and unstructured data

• Ensure system security, performance, and reliability across the stack

• Work closely with front-end engineers and data scientists to deliver high-impact features

• Own key technical decisions, balancing speed with long-term maintainability

Who you are

• A strong portfolio or GitHub showcasing backend development expertise

• Proficient in Node.js, Python, or Rust, with experience in scalable backend architecture

• Deep understanding of databases such as PostgreSQL, MySQL, or OLAP systems, including query optimization

• Experience designing efficient data pipelines and working with distributed systems

• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

• Strong grasp of security best practices, API authentication, and performance tuning

• Comfortable in a fast-moving, high-performance startup environment

Location

This is an on-site role, designed for builders who thrive on speed, iteration, and meaningful impact.

The total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process.

If this role aligns with your background and interests, they'd love to hear from you.