About this role
Based in China, the Applied AI Engineer position at bjakcareer involves transforming machine learning capabilities into functional product features for everyday applications. This role is well-suited for a practitioner who enjoys bridging the gap between underlying models, system infrastructure, and end-user experiences.
Role Overview
ACTAI operates with the mission of creating proactive applications that remove the need for complex prompting across daily tools such as email, notes, tasks, and calendars. The organization focuses on long-running workflows, persistent context, and practical task execution to minimize hallucinations and help users manage daily organization efficiently.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ACTAI builds proactive software designed to bring intelligence to everyday tasks like communication, scheduling, and workflow management without requiring complex user prompting. The group values small teams that make collective decisions quickly while balancing delivery quality with continuous learning.
How to Apply
Interested candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the primary mission of the company?
The mission is to build proactive applications that bring intelligence to everyday tasks like email, notes, and workflows without requiring users to use complex prompting.
What technical stack is used in this role?
The tech stack includes Python, PyTorch, JAX, LLMs like LLaMA and Qwen, inference tools such as vLLM, and vector databases.
What are the core responsibilities of the Applied AI Engineer?
Responsibilities include shipping AI features end-to-end, designing agent workflows, turning model outputs into structured behaviors, debugging full-stack issues, optimizing latency and cost, and building evaluation frameworks.
How many interview rounds can a candidate expect?
Candidates can expect between 3 and 4 interviews conducted via virtual meetings or onsite.