Job Title: AI Engineer (Search Engine)
AI and Machine Learning enthusiast sought to develop and optimize Retrieval-Augmented Generation models for large-scale search across medical and scientific documents.
The primary focus will be on pre-processing, embedding, and fine-tuning of LLMs to improve the contextual accuracy of search results.
Key Responsibilities:
* Developing and optimizing RAG models for search functionality
* Improving semantic chunking strategies to enhance data relevance
* Fine-tuning Large Language Models for various textual use cases
Requirements:
* 1+ years of experience as a Search or AI Engineer
* Proficiency in OpenSearch and building scalable search systems
* Excellent communication skills and ability to work independently
* Strong background in Python development, including API creation, model training, testing, and general backend programming
* Experience with LangChain for building LLM workflows using tools, memory, and retrieval
Nice to have Skills:
* Knowledge of AWS infrastructure, including IAM, VPC, S3, etc.
* Exposure to RAG architectures, specifically textual use cases
Project Overview:
This role involves hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout.