Software Engineer

The Red Hat, Experience Engineering (XE) team is looking for a skilled Python Developer with 2+ years of experience to join our Software Engineering team. In this role, the ideal candidate should have a strong background in Python development, a deep understanding of LLMs, and the ability to debug and optimize AI applications. Your work will directly impact our product development, helping us drive innovation and improve the customer experience.

What will you do?

• Develop and maintain Python-based applications, integrating LLMs and AI-powered solutions.
• Collaborate with cross-functional teams (product managers, software engineers, and data teams) to understand requirements and translate them into data-driven solutions.
• Assist in the development, testing, and optimization of AI-driven features.
• Optimize performance and scalability of applications utilizing LLMs.
• Debug and resolve Python application errors, ensuring stability and efficiency.
• Conduct exploratory data analysis and data cleaning to prepare raw data for modelling.
• Optimize and maintain data storage and retrieval systems for model input/output.
• Research and experiment with new LLM advancements and AI tools to improve existing applications.
• Document workflows, model architectures, and code to ensure reproducibility and knowledge sharing across the team.

What will you bring?

• Bachelor’s degree in Computer Science, Software Engineering, or a related field with 2+ years of relevant experience.
• Strong proficiency in Python, including experience with frameworks like FastAPI/ Flask, or Django.
• Understanding of fundamental AI/ML concepts, algorithms, techniques and implementation of workflows. 
• Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments.
• Understanding of LLM training processes and data requirements. Experience in LLM fine-tuning, RAG and prompt engineering.
• Hands-on experience with LLMs (e.g., OpenAI GPT, Llama, or other transformer models) and their integration into applications(e.g. LangChain or Llama Stack).
• Familiarity with REST APIs, data structures, and algorithms.
• Strong problem-solving skills with the ability to analyze and debug complex issues. 
• Experience with Git, CI/CD pipelines, and Agile methodologies.
• Experience working with cloud-based environments (AWS, GCP, or Azure) is a plus.
• Knowledge of vector databases (e.g., Pinecone, FAISS, ChromaDB) is a plus.