Full-Stack Engineer - LLM Focus

Technologies we use

About the project

Your responsibilities

• Design and implement end-to-end features across backend and frontend layers
• Develop and iterate on LLM-based functionalities, including RAG pipelines
• Integrate AI services and optimize prompt workflows for improved output quality
• Collaborate on API design and ensure seamless frontend-backend communication
• Contribute to frontend implementation using modern React-based frameworks
• Support evaluation, testing, and continuous improvement of AI-generated outputs
• Participate in experiment-driven development and iterative feature delivery
• Work closely with team members to refine solutions based on feedback and metrics

Our requirements

• 3–5 years of professional experience in software development
• Strong programming skills in Python
• Experience integrating Large Language Models (LLMs) into production workflows
• Practical knowledge of Retrieval-Augmented Generation (RAG) architectures
• Experience with React and/or Next.js
• Understanding of API design and full-stack development principles
• Ability to work in iterative, experiment-driven environments
• Strong analytical mindset and focus on quality improvement

Optional

• Experience with FastAPI
• Hands-on work with LLM evaluation frameworks and prompt engineering
• Experience measuring and improving AI output quality
• Familiarity with AI coding assistants (e.g., Cursor, GitHub Copilot)
• Ability to quickly adapt to feedback and evolving project requirements

This is how we organize our work

This is how we work