What are the responsibilities and job description for the NLP and RAG Developer position at Blueberry AI?
About Blueberry AI
We are a leading provider of AI solutions, specializing in large language models and retrieval-augmented generation. Our mission is to deliver cutting-edge solutions that help businesses achieve their goals.
Job Requirements
To be successful as an AI Technology Engineer at Blueberry AI, you will need to have a strong background in AI/ML engineering, with a focus on NLP, LLMs, and retrieval systems. You should also have hands-on experience with large language models, including fine-tuning and prompt engineering.
Preferred Skills
- Knowledge of Distributed Systems: Familiarity with distributed systems, parallel processing, and MLOps frameworks.
- Security Best Practices: Understanding of security best practices for handling sensitive data and models in production.
- Open-Source Contributions: Contributions to open-source projects in the LLM or RAG domains.
- Communication Skills: Strong communication skills and the ability to explain complex concepts to non-technical stakeholders.
How to Apply
Please submit your resume, a cover letter, and links to any relevant projects or repositories to our HR department.
