Fullstack Python Developer (GenAI)

PradeepIT Consulting Services Pvt Ltd; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A consulting firm is seeking a Fullstack Python Developer for web application development using React and Python. The role involves integrating datasets into a vector database and optimizing GenAI applications. Candidates should have a solid background in web technologies, AI/ML, and deployment best practices. This position offers an opportunity to work on innovative projects leveraging large language models and data pipelines.

Qualifications

• Experience in developing applications using data, AI/ML, web technologies.
• Proficiency in developing applications with LLMs.
• Understanding of RAG frameworks and data handling techniques.

Responsibilities

• Develop and maintain web applications using React and Python.
• Integrate structured and unstructured datasets into a vector database.
• Build an auditing system for monitoring usage.

Skills

Web technologies using Python and React

Experience with LLMs

Understanding of RAG frameworks

Prompt engineering

Version control (Git)

Azure services

Job description

About the job Fullstack Python Developer (GenAI)

Responsibilities

• Develop and maintain web applications using React and Python.
• Integrate disparate structured and unstructured datasets and documents into a vector database for an effective RAG system.
• Ability to develop complex applications in LLMs, including developing chatbots and integration with Agents.
• Build an auditing system for monitoring usage, ensuring security and cost efficiency.
• Build a robust data pipeline system to ingest and manage data from various sources.
• Optimize GenAI applications for enhanced performance, scalability, and reliability.

Required skill set

• Experience in developing applications using data, AI/ML, web technologies using Python and React.
• Experience with development using LLMs.
• Good understanding of RAG frameworks, embeddings and Agents.
• Technical know-how of effective prompt engineering, function calling etc.
• Familiarity with software development best practices, including version control (Git), testing, and CI/CD.
• Familiarity with various Azure services such as Azure Search, App Services, API.

Nice to have

• Integrate generative models or applications into existing systems and workflows seamlessly.
• Evaluate and implement leading data anonymization and PII detection techniques.