Python Developer (Automation & AI)

Company DescriptionKnevaTech is an innovative technology studio dedicated to helping businesses thrive through automation, AI, and scalable solutions. Specializing in AI, Data Science, and Generative Intelligence, we create systems designed to optimize productivity and decision-making. Our expertise spans cloud infrastructure, advanced analytics, modern UX design, and web and app development to deliver seamless digital ecosystems. By transforming complexity into clarity, KnevaTech empowers organizations with data-driven insights and achievable innovation.We’re looking for a Python Developer (Part Time) who’s passionate about automation, AI, and building smart, scalable solutions.The ideal candidate has hands-on experience with web scraping, data automation, and generative AI applications such as chatbots, RAG systems, or fine-tuning.Key ResponsibilitiesBuild and maintain automation workflows (low-code experience is a plus but not mandatory).Develop and optimize LLM-based and generative AI applications using LangChain or similar frameworks.Work on web scraping and data extraction using Python, Selenium, and APIs.Integrate APIs, databases, and vector databases (FAISS, Chroma, Pinecone).Develop simple UIs for chatbots or dashboards using React, Next.js, or Vue.Required SkillsStrong in Python (Pandas, Requests, FastAPI preferred).Experience with web scraping, data automation, and API integration.Good understanding of LangChain, LLM pipelines, and chatbot development.Familiarity with Selenium, SQL, and Excel.Basic understanding of frontend frameworks (React, Next.js, or Vue).ExperienceMust have at least 6 months of valid hands-on experienceShould be a graduate or currently in their final year of university (preferably in Computer Science, Data Science, AI, or a related field).Nice to HaveExperience with Generative AI, RAG systems, prompt engineering, or fine-tuning.Exposure to cloud platforms (AWS, GCP, or Azure).Familiarity with workflow automation tools like n8n or Zapier.Work Type: Part-Time (Remote)Potential: Full-Time, Onsite (based on performance)