Start Date: 14/07/2025
End Date: 14/07/2026
Location: Hybrid/Remote (Location preference can be added)
Industry: Manufacturing
Duration: 12 months

Project Overview

Join a forward-thinking team in the manufacturing industry working on a strategic initiative to modernize procurement through intelligent, data-driven tools. The project operates in agile 3-month development cycles, with each iteration focused on the most valuable use cases. The current phase emphasizes Retrieval-Augmented Generation (RAG) technologies, leveraging Large Language Models (LLMs) to build contextual and high-impact applications that drive procurement performance.

Scope:

• Develop and maintain Python-based tools and microservices focused on procurement data workflows.
• Implement intuitive and responsive web applications using Streamlit, Flask, or Django.
• Integrate and query databases efficiently using PostgreSQL and write optimized SQL.
• Collaborate with data scientists and domain experts to build RAG pipelines.
• Work with Azure OpenAI to deliver LLM-powered solutions for data retrieval and contextual understanding.
• Actively participate in agile ceremonies and contribute to sprint planning and retrospectives.
• Rapidly iterate on prototypes and deliver production-ready applications in short cycles.

Skills:

• Strong programming skills in Python, with a focus on pandas for data analysis.
• Experience developing small web applications (Streamlit, Django, Flask).
• Proficiency in SQL; current tech stack includes PostgreSQL.
• Familiarity with Large Language Models (LLMs), particularly with Azure OpenAI.
• Interest or hands-on experience with Retrieval-Augmented Generation (RAG) is highly desirable.
• Proven ability to work in a fast-paced, agile team environment.