About this role
Our client is seeking an experienced AI Engineer with a specialization in Retrieval-Augmented Generation (RAG) and fine-tuning techniques. This role is ideal for a candidate who is passionate about developing cutting-edge AI solutions and has a strong background in machine learning and software engineering.
Key Responsibilities:
- Architect and implement the RAG pipeline, including embeddings ingestion and vector search using MongoDB Atlas or similar technologies.
- Design and build Python-based services using FastAPI for generating and updating embeddings.
- Host and apply LoRA/QLoRA adapters for user-specific fine-tuning of models.
- Automate data pipelines to ingest and process large datasets efficiently.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science or a related technical field.
- Minimum of 5 years of experience in AI, machine learning, or a related field.
- Proficiency in Python and experience with FastAPI.
- Familiarity with MongoDB Atlas or similar vector databases.
- Experience with fine-tuning models and implementing RAG techniques.
- Strong problem-solving skills and ability to work independently in a hybrid/remote environment.
What we offer:
- Opportunity to work on innovative AI projects in a flexible work environment.
- Collaborative team culture that encourages professional growth and development.
- Access to the latest tools and technologies in the AI field.
This role is managed by AI-First Talent on behalf of our client. Your application is reviewed directly by our talent team.