As a LLM Engineer at Recursive, you will work on cutting-edge AI projects, focusing on creating robust data and AI pipelines using Large Language Models (LLM) and multimodal LLM. This role emphasizes data management, backend development, and cloud integration, with minimal focus on training models or mathematical tasks. We welcome candidates with varying levels of experience. Our learning-oriented culture values motivated learners and experienced contributors who can enhance our team’s expertise.
Responsibilities
- Develop and maintain AI pipelines using LLM and multimodal LLM.
- Manage and integrate databases, ensuring efficient data handling and retrieval.
- Conduct benchmarking and quantitative analysis to optimize AI performance.
- Implement backend solutions to support AI applications.
- Utilize cloud services for deploying and scaling AI solutions.
- Collaborate with front-end developers for seamless integration of AI functionalities into user-facing applications.
- Stay updated with the latest AI and technology trends to continuously improve our systems.
Requirements
- Background in a scientific or engineering discipline (e.g., Computer Science, Electrical Engineering, Physics, etc.).
- Strong programming skills, particularly in backend development.
- Experience with data management and database operations and optimizations.
- Proficiency in at least one major cloud provider’s offering (e.g., AWS, GCP, Azure).
- Familiarity with benchmarking and quantitative analysis methods.
- Passion for AI and its applications.
- Eagerness to learn and adapt to new technologies and methodologies.
- Desire to create impactful AI solutions that benefit society and the environment.
- We value diversity and encourage candidates from all backgrounds to apply.
- Whether you’re an experienced professional or an enthusiastic learner, we want to hear from you!
Nice to haves
While not specifically required, tell us if you have any of the following.
- Basic front-end development skills.
