Careers · Ho Chi Minh City
Build production AI with us.
We hire across two units: Engineering, and the Business team that runs client delivery and growth. Most roles are hybrid in Ho Chi Minh City.
Why join
What the work is like.
Production work, not demos
You ship systems that clients run: agents, data platforms, and the operations around them. Most of what we build goes to production within the engagement.
AI-native by practice
Language models are part of how we research, code, test, and document. You work with current tooling and help decide how we use it.
Senior-weighted team
A small team of experienced engineers, most of whom have shipped inside large organisations. Code review is direct.
Clients on three continents
Enterprise and mid-market clients in Europe, the US, and Southeast Asia, across manufacturing, retail, SaaS, and professional services.
Open positions
Current roles.
Roles are grouped by unit and specialty. Each listing has the full description, requirements, and how to apply.
Engineering
Production AI, data, and platform systems for clients and our own products
AI & Machine Learning
Agents, retrieval, and models in production
Senior AI Full-Stack Engineer
Design and deploy production LLM agents, RAG pipelines, and agentic workflows. Lead the technical design across orchestration, evaluation, and deployment.
AI Engineer / Researcher
Train, fine-tune, and optimise open-weight LLMs and multimodal models for domain-specific retrieval, reasoning, and workflow automation in production.
Junior AI Full-Stack Developer
Build full-stack applications for AI products. React frontends, Python or Node.js backends, and LLM features in client applications.
No-Code/Low-Code AI Specialist
Build automation workflows and chatbots on no-code and low-code platforms: n8n, Flowise, Make, and Zapier. For people who solve problems in visual builders rather than code.
Senior ML/AI Platform Engineer
Build the ML platform that trains, serves and monitors our models. Own Ray/KubeRay clusters, model registries, inference infrastructure, and the operator experience for ML teams.
LLM Inference Platform Engineer
Specialise in LLM serving at production scale. Tune vLLM and SGLang, design continuous batching and tensor-parallel topologies, and own the cost and latency of every token we serve.
Backend Engineering
Backend systems and APIs
Senior Backend Engineer (Golang)
Design, build, and own platforms and APIs in Go. Distributed systems, durable orchestration, and the technical foundation of our platform.
Senior Backend Engineer (Node.js/TypeScript)
Build and extend visual AI agent platforms in Node.js and TypeScript: custom components for LLM orchestration and integrations with external tools and APIs.
Senior Backend Engineer (Python)
Design, build, and ship production Python packages, SDKs, CLIs, and libraries. Own the developer experience of the tooling behind our AI and data platform.
Data Engineering
Data pipelines and orchestration
Senior Data Platform Engineer
Build and operate production data orchestration platforms. Design metadata-driven pipelines, implement data transformations at scale, and integrate enterprise data systems.
Senior Data Engineer, ML/AI
Own the data layer that feeds every model we train and every agent we serve. Build ingestion and transformation across Snowflake, Databricks, Dagster, Airbyte, and keep training/serving data in sync.
Infrastructure & DevOps
Cloud infrastructure and deployment
Frontend & Applications
Interfaces and client applications
Quality Assurance
Manual and automated testing
Solutions Architecture
Translate business needs into AI, data, and platform architectures
Engineering Management
Player-coach leads for delivery, quality, and people
Business
Client delivery and growth for AI Pods and our B2B products
Delivery & Project Management
Technical ownership of client engagements
Revenue & Go-to-Market
Sales and growth in Western markets
No matching role
No matching role? Write to us anyway.
Send a CV and a note on what you have shipped. We read every application and reply to each one.