On behalf of our client we are hiring aFull-Stack AI Engineerto join an innovative product team building next-generation AI-powered customer experiences.
Our client is a fast-growing technology company focused on conversational AI intelligent automation and customer engagement solutions. This role offers the opportunity to work on cutting-edge AI applications that combine large language models (LLMs) real-time voice interactions and modern web technologies to create impactful user experiences at scale.
As a Full-Stack AI Engineer you will be responsible for designing and delivering AI-powered products end-to-end from agent orchestration and backend services to real-time user interfaces and embedded web experiences.
Key Responsibilities
Design single/multi-agent systems (OpenAI & Anthropic) with robust routing tool calling state and recovery logic primarily using Vercel AI SDK.
Operate theWebRTC-basedreal-time transport layer (audio rooms agent workers and session lifecycles).
Build Model Context Protocol (MCP)servers/clients to securely connect databases; implement agentic browser automation to execute real-world tasks.
Deliver end-to-end features using (TypeScript) and React/Svelte streaming agent states over AG-UI and shipping embeddable widgets.
Tune for latency cost and reliability (streaming caching fallbacks) ; set up tracing(Langfuse OpenTelemetry)implement prompt-injection & PII defenses and run online A/B tests.
Requirements
Technical skills:
5 years of production experiencein and TypeScript.
Hands-on LLM experience(tool calling structured outputs multi-step orchestration context management) ideally with Vercel AI SDK.
Production experience in real-time voice/streaming media(STT/TTS turn detection latency tuning) and WebRTC infrastructure.
Familiarity with agent protocols (MCP AG-UI) and agent-driven browser automation.
StrongReact orSvelte skills with advanced TypeScriptand comfort building framework-agnostic embeddable components.
Grasp of prompt engineering agent evaluation non-deterministic debugging and security-first development (input validation prompt-injection defense secrets management least-privilege).
Preferred Qualifications:
Bachelors degree in Computer Science Engineering or equivalent
Background in conversational commerce personalization or consumer web CRO.
Experience embedding JS into third-party funnels and multi-tenant environments.
LLM observability(Langfuse OpenTelemetry) and online A/B testing.
Experience with model routing fine-tuning and model cost-benefit trade-offs.
Knowledge ofWCAG AA accessibility for voice and conversational UIs.
Benefits
Competitive salary paid in USD via (EOR model).
Social insurance coverage in accordance with Vietnamese regulations.
20 annual leave days plus 10 public holidays per year.
Company-provided laptop.
100% remote working environment.
Sponsored training workshops and industry conferences.
Clear career growth opportunities with support from both local & international teams.
How to Apply
Send your updated resume to
For more details contact: Ngoc Tran (Ta Hy) - Recruitment Consultant
Zalo/Phone number: 84 (0)
This is a remote position.Location: Vietnam (Remote)Employment Type: Full-time About the OpportunityOn behalf of our client we are hiring a Full-Stack AI Engineer to join an innovative product team building next-generation AI-powered customer experiences.Our client is a fast-growing technology...
This is a remote position.
Location: Vietnam (Remote)
Employment Type: Full-time
About the Opportunity
On behalf of our client we are hiring aFull-Stack AI Engineerto join an innovative product team building next-generation AI-powered customer experiences.
Our client is a fast-growing technology company focused on conversational AI intelligent automation and customer engagement solutions. This role offers the opportunity to work on cutting-edge AI applications that combine large language models (LLMs) real-time voice interactions and modern web technologies to create impactful user experiences at scale.
As a Full-Stack AI Engineer you will be responsible for designing and delivering AI-powered products end-to-end from agent orchestration and backend services to real-time user interfaces and embedded web experiences.
Key Responsibilities
Design single/multi-agent systems (OpenAI & Anthropic) with robust routing tool calling state and recovery logic primarily using Vercel AI SDK.
Operate theWebRTC-basedreal-time transport layer (audio rooms agent workers and session lifecycles).
Build Model Context Protocol (MCP)servers/clients to securely connect databases; implement agentic browser automation to execute real-world tasks.
Deliver end-to-end features using (TypeScript) and React/Svelte streaming agent states over AG-UI and shipping embeddable widgets.
Tune for latency cost and reliability (streaming caching fallbacks) ; set up tracing(Langfuse OpenTelemetry)implement prompt-injection & PII defenses and run online A/B tests.
Requirements
Technical skills:
5 years of production experiencein and TypeScript.
Hands-on LLM experience(tool calling structured outputs multi-step orchestration context management) ideally with Vercel AI SDK.
Production experience in real-time voice/streaming media(STT/TTS turn detection latency tuning) and WebRTC infrastructure.
Familiarity with agent protocols (MCP AG-UI) and agent-driven browser automation.
StrongReact orSvelte skills with advanced TypeScriptand comfort building framework-agnostic embeddable components.
Grasp of prompt engineering agent evaluation non-deterministic debugging and security-first development (input validation prompt-injection defense secrets management least-privilege).
Preferred Qualifications:
Bachelors degree in Computer Science Engineering or equivalent
Background in conversational commerce personalization or consumer web CRO.