Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Quận 7, Hồ Chí Minh, Hồ Chí Minh
Overview
- Design and build backend systems: Own the architecture and development of scalable, reliable backend services and APIs.
- Solve distributed-system challenges: Design for idempotency, concurrency, consistency, retries, failure handling, and asynchronous or event-driven workflows.
- Build production-ready AI systems: Integrate LLM APIs or self-hosted models into backend services, and design the supporting systems for reliability, scalability, observability and maintainability.
- Build AI agent workflows: Tool calling, multi-step workflows, orchestration, and reliable AI-powered automation.
- Ensure performance and reliability: Optimize databases and queries, build observability through logging, metrics and tracing, and troubleshoot production issues.
- Drive engineering practices: Make architecture decisions, improve code quality, run code reviews, and mentor other engineers.
- Your Skills and Experience
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related technical field.
- 4 - 5 years of experience as a Backend Engineer, with strong ownership of production systems.
- Strong experience with at least one backend language such as Go, Python, Java or Node.js.
- Strong understanding of system design, API design and backend architecture.
- Experience with PostgreSQL, MySQL, MongoDB or similar databases, including performance tuning, indexing and transaction handling.
- Experience with message queues or event-driven architecture such as Kafka, RabbitMQ, Pub/Sub or SQS.
- Good understanding of distributed systems, including idempotency, concurrency, consistency, retries and failure handling.
- Experience with observability - logging, metrics and tracing.
- Experience diagnosing and troubleshooting production issues in large-scale or business-critical systems.
- Strong understanding of SOLID principles and Clean Architecture.
- Strong problem-solving skills, and the ability to independently research and evaluate new technologies and approaches.
- Nice to Have:
- Hands-on experience with LLM applications, RAG, AI agents, tool calling or workflow orchestration.
- Experience integrating OpenAI, Claude or other LLM providers, or working with self-hosted open-source models.
- Experience building production-grade AI systems with a focus on reliability, evaluation, observability and scalability.
- Platform & delivery
- Experience with Kubernetes or cloud-native technologies.
- Experience with AWS, GCP or similar cloud platforms.
- Experience building internal tools or workflow/AI platforms.
- Why You'll Love Working Here
- Great working environment & large scale projects.
- Fast adoption with new & trending technology.
- Opportunity to rotate in products lines.
- Attractive package & long-term career path.
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