Senior Software Engineer - Backend
Builds scalable backend services, APIs, and distributed systems for AI-driven code review tools. Requires 5+ years experience with TypeScript/Node.js, cloud platforms, containerization, and integrating ML models into agent-based systems.
About the job
Responsibilities
- Architect and build scalable backend services, APIs, and distributed systems
- Collaborate with ML engineers to integrate models into agent-based systems and AI products involving autonomous or task-driven agents
- Guide junior engineers through mentorship and technical reviews
- Own architectural decisions in new product features
- Ensure reliability, performance, and security across systems
- Contribute to an engineering culture of speed, quality, and pragmatic innovation
Qualifications
Education: Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience
Experience: 5+ years building backend systems and distributed infrastructure
Technical Expertise: Fluency in TypeScript and Node.js, or a similar modern backend stack; experience with microservices, async job queues, and event-driven architectures
Systems Thinking: Familiarity with cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, devops tooling, runtime infrastructure, and production observability
Engineering Craft: Strong understanding of software engineering best practices, including testing, code reviews, and version control workflows
Product Mindset: Thoughtful about trade-offs, user experience, and fast iteration
Team Leadership: Willing to mentor, lead by example, and influence technical direction without being a pure manager
Bonus Points
- Experience with code search, code graphs, tree-sitter, or static analysis tools, and an understanding of how to apply them in real-world engineering environments
- Experience integrating AI/LLM-based systems into product workflows
- Contributions to open-source or community projects
- Experience designing or implementing agent-based systems or AI products involving autonomous or task-driven agents
Skills
TypeScript, Node.js, AWS, GCP, Docker, Kubernetes, Microservices, Async Job Queues, Event-Driven Architectures, CI/CD, LLMs, Tree-Sitter
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