Job Overview:
We are seeking an agile and skilled Data Scientist to join a high-velocity project team. The ideal candidate will help build advanced agentic workflows, utilizing LLMs as part of an innovative Retrieval-Augmented Generation (RAG) approach. This position offers the opportunity to work on groundbreaking technologies that enhance AI-driven solutions.
Key Responsibilities:
- Agentic Framework Development:
- Build and enhance an agentic framework that enables conversational AI to intelligently select and utilize tools and APIs through advanced reasoning.
- Information Retrieval Orchestration:
- Leverage orchestration frameworks such as Llama Index, LangChain, or similar to implement and manage Retrieval-Augmented Generation (RAG) techniques.
- Experimentation and Analysis:
- Conduct experiments to improve the agentic architecture and optimize RAG strategies.
- Analyze experimental results to enhance the accuracy, reliability, and performance of conversational AI models.
Technical Expertise:
- Programming Skills:
- Strong proficiency in Python.
- Experience with LLM Ops libraries such as LangChain, LlamaIndex, or similar tools is preferred. Alternatively, familiarity with machine learning libraries like Scikit-learn, Pandas, etc., is required.
- LLM and LLM Ops Knowledge:
- Strong understanding of Large Language Models and their applications, including experience with LLM operations, fine-tuning, and deployment.
- Tool Proficiency:
- Hands-on experience with tools like Llama Index and LangChain is preferred.
- Solid knowledge of Retrieval-Augmented Generation (RAG) techniques and their implementation.
Preferred Qualifications:
- Conversational AI Experience:
- Prior experience developing conversational AI applications or chatbots.
- Cloud Platform Expertise:
- Experience working with cloud platforms, preferably AWS. Familiarity with Azure or Google Cloud Platform (GCP) is a plus.
Desired Attributes:
- Agility and Quick Learning:
- Ability to quickly grasp and apply new technologies in a dynamic environment.
- Problem-Solving Skills:
- Strong analytical and reasoning skills for tackling complex technical challenges.
- Collaborative Mindset:
- Excellent communication skills and a team-oriented approach to drive collective success.