Ai Engineer • Mid-Level

Who you are

You have 2-3 years of relevant experience in AI or a related field, or you are a master's degree candidate in computer science or artificial intelligence. You possess strong programming skills in Python for AI and data prototyping, and you are proficient in either Kotlin or Java for Android development. Your interest lies in generative AI, LLMs, and personalization, and you are eager to apply these technologies in real-world projects. You are passionate about quickly learning and applying new technologies, and you have a proactive attitude towards teamwork and communication. You thrive in collaborative environments and are familiar with sharing knowledge through research papers, GitHub, or open-source projects.

Desirable

Experience in developing applications or agent services in Android environments is a plus. You have hands-on experience with generative AI or LLM-related projects, whether through internships, research labs, or personal projects. You are comfortable with the culture of technical sharing and are keen to contribute to a collaborative team.

What you'll do

In this role, you will develop generative AI-based agent orchestration and reasoning functionalities that operate in on-device environments. You will design and optimize action sequences based on user requests and vehicle events, ensuring a seamless user experience. Analyzing user logs to identify behavior patterns will be a key part of your responsibilities, as will the planning and implementation of personalized AI features. You will also be involved in controlling vehicle functions and designing interactions based on LLMs. Performance testing and optimization of models and services across both on-device and server environments will be essential to your role.

What we offer

At 42dot, you will be part of a team that is at the forefront of future mobility technology. We encourage open communication and technical sharing, allowing you to engage in various research and development loops, including paper reviews and model experiments. You will have the opportunity to work in a dynamic environment where your contributions directly impact user experiences in software-defined vehicles. We value collaboration and are committed to fostering a culture of innovation and continuous learning.