Junior Python Developer

As a Junior Python Developer, you will build tools and automation that support the training, evaluation, and improvement of cutting-edge Artificial Intelligence models. You'll work on AI training projects involving large language models (LLMs), data processing, prompt engineering workflows, model evaluation pipelines, and dataset generation.

You'll collaborate with AI researchers, data scientists, and machine learning engineers to develop Python-based solutions that help create high-quality training data, automate AI evaluation tasks, and improve the performance of generative AI systems. Responsibilities

• Develop Python scripts and tools to support AI training and evaluation workflows.
• Build automation pipelines for collecting, cleaning, validating, and processing training datasets.
• Create utilities for prompt generation, response evaluation, and AI benchmarking.
• Develop tools for data annotation, quality assurance, and model performance analysis.
• Integrate AI APIs and LLM services into internal training workflows.
• Assist in preparing datasets for supervised fine-tuning (SFT), reinforcement learning, and model evaluation.
• Optimize data processing pipelines for large-scale AI projects.
• Debug and improve AI training tools to ensure efficiency and reliability.
• Collaborate with AI engineers to enhance model accuracy through better data and automation. Requirements
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).
• Strong knowledge of Python programming.
• Understanding of data structures, algorithms, and object-oriented programming.
• Familiarity with REST APIs, JSON, and SQL.
• Experience with Git and version control.
• Strong analytical and problem-solving skills.
• Ability to learn new AI technologies and adapt quickly. Preferred Qualifications
• Familiarity with AI, Machine Learning, or Natural Language Processing (NLP).
• Experience using libraries such as Pandas, NumPy, Requests, or BeautifulSoup.
• Basic knowledge of Large Language Models (LLMs) and prompt engineering.
• Exposure to FastAPI, Flask, Docker, or Linux environments.
• Experience working with data annotation, AI evaluation, or automation projects is a plus. Skills
• Python
• Data Processing
• AI Automation
• Prompt Engineering
• Large Language Models (LLMs)
• REST APIs
• SQL
• Git & GitHub
• Pandas & NumPy
• Problem Solving What You'll Work On
• Building tools that help train and evaluate AI models.
• Creating automation for large-scale AI data preparation.
• Developing systems to measure AI response quality and accuracy.
• Working with prompt engineering and AI evaluation workflows.
• Supporting the development of next-generation Generative AI applications used by millions of users worldwide. What You'll Gain
• Hands-on experience with modern AI and Large Language Model (LLM) technologies.
• Exposure to real-world AI training pipelines and data engineering workflows.
• Opportunity to work alongside experienced AI researchers and engineers.
• Practical experience building tools that directly improve AI model performance.
• Career growth in Artificial Intelligence, Machine Learning, and Python development.