Back End Engineer (Enterprise Efficiency) - Sea Labs

• 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

• 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)