Software Engineer, Backend - Product

Qualified

full-time

Posted on: 9/16/2025

Origin: • 🇺🇸 United States

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💰 $160,000 - $180,000 per year

Mid-LevelSenior

GoJavaScriptPostgresPythonRDBMSRubyRuby on RailsSQL

About the role

Develop customer-focused applications by building new features, improving existing ones, and creating entirely new products
Utilize the latest advances in machine learning, LLMs and other AI technologies to enhance our products and deliver reliable, scalable systems
Collaborate closely with Product Managers, Product Designers, and Platform Engineers to ideate and develop mission-critical applications
Conduct rapid prototyping and iterative development to enhance AI solutions based on real-world performance and user feedback
Ensure core functionality is stable, scalable, well-maintained, and continuously improving
Design and evolve system architecture to support scalable, reliable AI agent execution in asynchronous environments
Scale and harden infrastructure for high-throughput workloads, including queueing, scheduling, backpressure, retries, and robust observability
Build and operate event-driven services using queues/streams and reliable message processing patterns
Continuously grow technical skills to tackle challenges related to quality, performance, robustness, and reliability
Mentor other engineers and set standards of engineering excellence
Support and scale highly-available, highly-trafficked services essential for customers' time-sensitive, business-critical needs

4+ years of experience in professional full-stack software development, with a recent focus on leveraging AI/ML technologies
Expertise in working with all components of a modern web application
Proficiency in programming languages such as Ruby on Rails, JavaScript, Python, or Go
Proficiency in object-oriented programming, systems design, and working with large-scale, low-latency systems
Experience designing system architecture for scalable, resilient services and AI agent orchestration in asynchronous environments
Strong understanding of concurrency, asynchronous processing, and backpressure strategies
Experience with distributed and event-based systems
Experience using frontier-scale LLMs (e.g., GPT, Claude, Gemini) programmatically for developing applications in production environments is a plus
Experience working with SQL and RDBMS (PostgreSQL preferred) and data warehousing solutions
Strong software engineering practices, including coding, unit testing, code reviews, and design documentation
B.S. or higher in Computer Science (or equivalent work experience)
Experience working with Agile methodologies
Self-directed, independent, and experienced in owning complete features and products
Passion for staying at the cutting edge of applied AI and solving complex technical problems