Senior Python Developer - Retrieval-Augmented Generation(RAG)

Job Title: Senior Python Developer - Retrieval-Augmented Generation (RAG)Location: ["Remote"]Employment Type - 3 Months Contract Full-Time

About Us:

We are at the forefront of innovative technology, developing cutting-edge Retrieval-Augmented Generation (RAG) applications that push the boundaries of data retrieval and processing. We are seeking an experienced and self-motivated Python Developer to join our team as the sole developer for our advanced RAG application. This is a unique opportunity to work independently and make a significant impact in a specialized field.

Position Overview:

As the Senior Python Developer, you will be responsible for the end-to-end design, development, and maintenance of our RAG application. Your role will involve building and optimizing systems for efficient data retrieval and storage, utilizing your expertise in Python, Elasticsearch, and vector databases. You will also develop and maintain REST APIs to ensure seamless integration and communication between application components.Your experience with Large Language Models (LLMs) and RAG workflows will be crucial in enhancing the system's capabilities. You will stay current with the latest advancements in RAG methodologies and related technologies, continuously improving the application to meet evolving needs.

Key Responsibilities:

Design & Development: Lead the end-to-end design and development of the RAG application, including system architecture, data models, and user interfaces.Optimization: Build and optimize systems for efficient data retrieval and storage using Python, Elasticsearch, and vector databases.API Development: Develop and maintain REST APIs to facilitate seamless integration and communication between various components of the application.Integration: Ensure smooth integration of Large Language Models (LLMs) and other advanced technologies into the RAG workflow.Maintenance: Monitor, troubleshoot, and maintain the application to ensure its performance, reliability, and scalability.Continuous Improvement: Stay up-to-date with the latest advancements in RAG methodologies and related technologies, and apply this knowledge to continuously enhance the application.Documentation: Create and maintain comprehensive documentation for development processes, APIs, and system functionalities.

Qualifications:

Experience: 5-7 years of professional experience in Python development, with a strong background in Elasticsearch and vector databases.Expertise: Proven experience in designing and developing REST APIs and integrating various components of a complex application.LLM Knowledge: Experience with Large Language Models (LLMs) and previous involvement in RAG workflows is highly desirable.Independence: Ability to work independently and take ownership of the entire development lifecycle.Innovation: A strong passion for technology and innovation, with a track record of staying current with industry trends and advancements.Problem-Solving: Excellent problem-solving skills and the ability to troubleshoot and resolve complex technical issues.

Preferred Skills:

Advanced Knowledge: Familiarity with advanced RAG methodologies and emerging technologies.Collaboration: Experience working in cross-functional teams and collaborating with stakeholders to define requirements and deliver solutions.

Key Skills

• Django
• Python
• Elasticsearch
• Flask
• FastAPI
• REST APIs