Youll work on backend technologies, designing and implementing features that drive our platforms growth, stability, performance and intelligence.
In this role, you will also help drive the integration of modern AI capabilities into our platform, including working with Large Language Models (LLMs), AI-driven workflows, and emerging paradigms such as Model Context Protocol (MCP).
If you are passionate about building scalable, high-performance systems, enjoy solving complex technical challenges, and excited about applying AI in real-world products, we would love to hear from you!
Key Responsibilities
Lead, design and build highly scalable and high-quality web applications by enforcing best practices around software engineering architecture and processes
Work with Model Context Protocol (MCP) or similar frameworks to enable structured interactions between systems and AI models
Raise the bar on engineering excellence by improving standard methodologies, producing best in class of code, documentation, testing, and monitoring
Identifying and resolving technical issues and performance bottlenecks.
Collaborate with cross-functional teams (including Product managers, DevOps, and Support) to ensure smooth feature releases and platform stability
Stay up to date with emerging technologies in backend engineering and AI/LLM ecosystems, and drive their adoption where relevant.
7+ years as a Backend Developer with strong experience in Node.js, Python, and TypeScript
Strong system design skills and experience building scalable, distributed systems (microservices, event-driven architectures)
Bachelors degree in Computer Science, Software Engineering, or equivalent
Outstanding interpersonal skills
Proven experience designing and building robust RESTful APIs
Solid understanding of database systems (SQL/NoSQL) and performance optimization
Hands-on experience with cloud platforms (AWS preferred), Docker, and Kubernetes
Experience in building scalable and resilient systems using microservices, with expertise in service decomposition, communication patterns (e.g., REST, event-driven), and managing inter-service dependencies
Experience building or integrating AI-powered product features
Independent, autodidact with excellent problem-solving and a passion for learning cutting-edge technologies
Advantage
Previous experience in a fast-paced startup, ideally within a SaaS company, and familiarity with the unique challenges of scaling a product.
Experience with Model Context Protocol (MCP) or similar agent/tooling frameworks
Experience working on infrastructure or core platform teams
