Backend Engineer (AI)
Backend Engineering AI/ML ML Node.js Python
Salary
Location
Benefits
13th month salary
Other benefits
Job Overview And Responsibility
- Architect and Scale Core Systems: Lead the design, implementation, and optimization of highly scalable, fault-tolerant backend services and non-blocking APIs using Python (FastAPI) or Java (Vert.x, Quarkus). Ensure services handle high throughput with minimal latency. - End-to-End Product Delivery: Drive the full lifecycle of product features—from requirements gathering and prototyping through testing, deployment, and iteration—working closely with product managers, UX designers, and DevOps. - Champion Asynchronous Patterns: Build and maintain event-driven, asynchronous processing pipelines (e.g., message queues, pub/sub) to support real-time data ingestion, processing, and integrations. - Performance & Reliability: Establish and enforce best practices for monitoring, observability, and automated testing. Identify bottlenecks and implement caching, connection pooling, backpressure, and rate-limiting strategies to sustain 99.9%+ uptime. - Comprehensive Service Monitoring: Design, deploy, and maintain end-to-end observability solutions using Prometheus for metrics collection and Grafana for visualization and alerting. - AI & RAG Applications: Architect Retrieval-Augmented Generation (RAG) solutions and intelligent agents that solve real-world problems—integrating vector stores, LLM APIs (e.g., OpenAI), and custom prompting frameworks. - Mentorship & Collaboration: Provide technical leadership and mentorship to mid-level engineers, foster a culture of code quality, and collaborate across cross-functional teams to drive continuous improvement.
Required Skills and Experience
- 5+ years of software engineering experience, with a proven track record of building and operating production-grade, scalable applications. - AI/ML Collaboration: Familiarity with embedding-based search, prompt engineering, chaining, and orchestration of multi-LLM workflows. - Leadership & Communication: Excellent verbal and written English skills; demonstrated ability to influence technical direction and collaborate effectively across teams. - Expertise in Python & FastAPI or Java (Vert.x, Quarkus): Deep familiarity with asynchronous programming (async/await in Python or non-blocking event loops in Java), concurrency models, and profiling/tuning of services. - API Design Mastery: Hands-on experience building RESTful, GraphQL, or gRPC APIs that support high request volumes; strong understanding of HTTP/2, WebSockets, and protocol optimizations. - Cloud & Infrastructure: Proficient with AWS, GCP, or Azure; containerization with Docker; orchestration using Kubernetes/Helm; Infrastructure-as-Code (Terraform, CloudFormation). - Data Storage & Caching: Solid background in relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB) databases; designing data schemas for performance and scalability. - Asynchronous Ecosystems: Experience with message brokers (Kafka, RabbitMQ, AWS SQS), task queues (Celery, AWS Lambda) or Java equivalents, and stream-processing frameworks.
Why Candidate should apply this position
- Attractive cash salary with upside potential from equity - 13th month bonus - Fast-moving product-culture - Work in an AI first environment
Preferred skills and experiences
- RAG & Agent Development: Practical experience implementing Retrieval-Augmented Generation pipelines, vector search (e.g., Pinecone, Weaviate), and building autonomous agents with LangChain or similar frameworks. - Observability & Security: Strong grasp of logging, tracing (OpenTelemetry), metrics (Prometheus/Grafana), and security best practices (OAuth2, JWT, encryption).
Report to
Chief Digital Officer
Interview process
1 Screening Interview (Vietnamese), 1 Test, 1 Fit Interview with Chief Digital Officer (English)
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