Backend Engineer
VinFast · Hanoi, Viet Nam ·
- Category
- Backend
- Experience
- 3+ years
- Company size
- 1000+
VinFast · Hanoi, Viet Nam ·
Scale AI · London, UK
Yirifi
vinova pte. ltd. · Singapore
QualityAI
Oteemo, Inc · Virginia, Virginia, us
Design and build the backend platform powering VinFast's ViTAI AI Mobility Assistant: scalable microservices, REST/gRPC/WebSocket APIs, agent runtime and LLM Model Gateway services, and enterprise integrations. Core stack is TypeScript/NestJS with PostgreSQL, Redis, Kafka, and Docker/Kubernetes plus CI/CD and observability.
As a Backend Engineer, you will design and develop the core backend services that enable AI applications at scale. You will build highly available microservices, APIs, agent runtime services, and platform capabilities supporting millions of requests, real-time AI interactions, and secure enterprise integrations. You will work closely with AI Engineers, Data Engineers, Product Managers, and Platform Engineers to deliver production-grade backend systems for both cloud and edge AI.
This role is ideal for engineers who enjoy building scalable distributed systems, solving complex backend challenges, and creating reusable platform capabilities rather than developing isolated business applications.
Bachelor's
degree or higher in Computer Science, Software Engineering, Information
Technology, or related disciplines.
Minimum 3 years of professional backend development experience.
Experience building production-grade backend systems serving enterprise
applications.
Experience working in Agile software development environments.
Strong proficiency in TypeScript (Node.js/NestJS).
Experience with Python, Go, or Java is an
advantage.
NestJS
Express.js
REST API
gRPC
WebSocket
Server-Sent Events (SSE)
OpenAPI / Swagger
PostgreSQL
Redis
MongoDB (preferred)
Database schema design and optimization
Microservice Architecture
Event-Driven Architecture
Message Queue
BullMQ
Kafka (preferred)
MQTT (preferred)
Docker
Kubernetes
AWS, Azure, or GCP
GitLab CI / GitHub Actions
Infrastructure monitoring and logging
Experience integrating LLM APIs.
Understanding of RAG architecture.
Prompt Engineering concepts.
AI Agent frameworks (LangGraph, AutoGen, CrewAI) are advantages.
MCP (Model Context Protocol) knowledge is a plus.
Experience building enterprise AI platforms.
Experience with streaming systems and real-time applications.
Experience designing API Gateway or Backend-for-Frontend (BFF).
Experience with OpenTelemetry, Prometheus, and Grafana.
Experience in Automotive, IoT, or Edge Computing.
Ability to read technical documentation and communicate effectively in
English.
Strong system design and problem-solving skills.
Ability to design maintainable, scalable backend architectures.
Excellent communication and collaboration skills.
Strong ownership mindset with attention to reliability and software
quality.
Comfortable working in fast-paced, ambiguous environments.
Passion for building platform products that enable other engineering
teams.
Deliver 5+ production-ready backend services supporting the ViTAI
platform.
Achieve 99.9% service availability across owned services.
Maintain API P95 latency below 200 ms (excluding AI inference
time).
Successfully integrate multiple LLM providers through a unified
Model Gateway.
Build scalable backend services supporting 1M+ API requests/day.
Implement complete observability, including logging, metrics, tracing,
and alerting.
Deliver secure, documented, and reusable APIs adopted by AI, Data, and
Product teams.
Contribute to establishing a standardized backend engineering framework
and best practices across the ViTAI platform.
Work Location: Technopark Tower, Gia Lam, Hanoi, Viet Nam
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