As a Backend Engineer, you'll design and enhance the core systems powering our AI capabilities. Your role involves developing scalable APIs, efficiently processing large datasets, and building reliable, performant backend infrastructure.
What You’ll Do
Design and implement robust backend systems supporting AI-driven analytics.
Develop scalable APIs enabling real-time insights and efficient data handling.
Optimize data processing pipelines for large-scale structured and unstructured datasets.
Ensure system security, performance, and reliability at every level of the stack.
Work closely with front-end engineers and data scientists to deliver seamless, 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.
Expertise in Node.js, Typescript and Python with hands-on experience building scalable backend solutions.
Deep familiarity with database systems (PostgreSQL, S3, data lakes etc.) and efficient query design.
Proven track record developing robust data pipelines and experience 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.
Experience in System Prompt Engineering and LLM Output Evaluation.
Top Skills
What We Do
Search has changed. Hundreds of millions of consumers are now using AI platforms like ChatGPT, Perplexity, and Google AI Overviews to find products and services. Meridian builds tools for companies to measure, optimize, and improve how their brand and products show up in AI search.
