Job Description:
- Develop and maintain backend services for enterprise-grade products.
- Write clean, readable, and well-tested code that follows existing team conventions and coding standards.
- Collaborate with product managers, frontend engineers, and QA teams across the full development lifecycle - from PRD brief to production release.
- Participate in technical design discussions and contribute to technical design documents under guidance from senior engineers.
- Conduct and participate in code reviews, actively incorporating feedback to improve code quality
- Test your own work thoroughly before handoff - you will be expected to catch basic issues before QA
- Communicate clearly with PMs, QA, and peers: provide timely status updates, proactively raise blockers, and ask questions early when requirements are unclear
- Learn and apply AI-assisted development tools (e.g., Cursor, ChatGPT, Claude) to accelerate your coding, debugging, testing, and documentation workflows
- Contribute to AI/LLM integration efforts in backend services where applicable, including API integration and output handling
Requirements:
- 1-3 years of backend development experience (Java, Go, or Python preferred)
- Solid fundamentals: data structures, algorithms, OOP/design patterns, REST API design
- Working knowledge of relational databases (SQL queries, basic schema design, indexing)
- Familiarity with version control (Git) and basic CI/CD concepts
- Able to write clean, readable code and follow existing code conventions
- General AI literacy - understands core AI/LLM concepts and can evaluate where AI capabilities can be practically applied to improve product features or engineering processes
Nice-to-Have Technical Skills
- Experience with microservices or service-oriented architecture
- Familiarity with caching (Redis), message queues, or containerization (Docker)
- Exposure to automated testing frameworks (unit tests, integration tests)
- Proficient in using AI-assisted development tools (e.g., Cursor, ChatGPT, Claude) to accelerate coding, debugging, testing, and documentation workflows
- Hands-on experience integrating AI/LLM APIs into backend services (e.g., prompt engineering, API integration, output parsing)
