• Ship AI-powered features into production • Integrate LLM inference, build evaluation and observability tooling • Own the full lifecycle of AI services • Design low-latency inference pipelines for high-throughput message streams • Implement model routing, prompt and retrieval patterns (RAG), caching, batching, and fallbacks • Build internal frameworks, APIs/SDKs, and tooling

• Develop robust, scalable, and maintainable full-stack solutions for complex organizations • Implementation of business requirements from analysis to delivery • Development of proof of concepts to evaluate new technologies • Pair and mob programming to enhance code quality and team cohesion • Participation and contribution in Scrum events and agile processes

• Ensure we build, scale, ship, and monitor our platform reliably, leveraging technologies such as Java, Python, MySQL, NSQ, Hbase, AWS, and Kubernetes. • Partner with product managers, designers, and other engineers to define requirements and complete feature work. • Work to improve the processes, systems, and tools we use to deliver quality products and champion technical initiatives and direction. • Uphold project quality and planning through meeting deadlines, breaking down work, and ensuring proper testing and monitoring • Lift the skills of other engineers through mentorship, knowledge sharing, and providing feedback on PRs and technical designs.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Mid-Level Backend Engineer (3–5 years of experience) to join our engineering team. This role focuses on designing, developing, and optimizing scalable backend services that power our core business systems. - Design and develop backend services for core business systems, including API design, business logic implementation, and system optimization. - Build high-performance, scalable services using: - Python (FastAPI, Django, Flask), or - Go (Gin, Echo, Fiber). - Design and optimize database schemas using relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB). - Write and maintain API documentation, unit tests, and integration tests to ensure service reliability and maintainability. - Perform performance analysis and optimization to address high-concurrency and high-availability challenges. - Participate in system architecture design and refactoring, promoting microservices, modularization, and standardization. - Collaborate closely with frontend, product, QA, and DevOps teams to deliver high-quality features on schedule. - Troubleshoot production issues and ensure stable system operation. Qualifications - Bachelors degree or above in Computer Science or a related field (preferred). - 3–5 years of backend development experience. - Strong proficiency in either Python or Go, with hands-on production experience. - Experience in both is a strong plus. - Familiarity with common web frameworks: - Python: FastAPI, Django, or Flask. - Go: Gin, Echo, Fiber, or similar frameworks. - Solid experience with relational databases (MySQL, PostgreSQL), strong SQL skills, and query optimization capabilities. - Experience with Redis and understanding of caching strategies (cache penetration, breakdown, avalanche, etc.). - Understanding of distributed system concepts such as: - Microservices architecture - Message queues (Kafka, RabbitMQ, RocketMQ) - Task queues - Idempotency design - Familiar with Linux environments. - Basic knowledge of containerization and DevOps practices (Docker, Kubernetes, CI/CD). - Strong engineering mindset with good coding standards, testing awareness, and systematic problem-solving skills. Preferred Qualifications (Nice to Have) - Experience working in high-concurrency, high-availability, or large-scale data environments. - Experience with microservices governance (service discovery, circuit breaking, rate limiting). - Experience building observability systems (logging, monitoring, tracing). - Experience leading or deeply participating in complex system design from 0 to 1. - Contributions to open-source projects, technical blogs, or technical sharing experience.