Senior Python GenAI Developer

The Role

As a Senior Python GenAI Developer at Nearform your main task will be designing & building applications using Python and GenAI tools such as Langchain. However, as you’ll likely work on a variety of projects your responsibilities may also include:

• Supporting component design, development and maintenance and taking responsibility for personal technical quality standards within the project team.
• Assisting with defining structured practices, especially in source code management, building and deployment.
• Contributing to Nearform tooling and open-source projects.
• Designing and implementing data storage solutions.
• Optimising performance in applications for maximum speed and scalability.
• Using appropriate tools to maintain version control and build processes.
• Getting feedback from users and clients, and building solutions for them. 
• Assisting with the analysis of client requirements.
• Working with and supporting the Delivery Architect (team lead) in project execution and timely delivery.
• Collaborating with client teams.

What we are looking for in this person

• Significant experience delivering at a Senior Developer level in an enterprise environment.
• Practical experience of delivering in an agile environment.
• Practical experience of knowledge of developing real-world solutions and platforms.
• Deep understanding of Python.
• Deep understanding of SQL Databases (PostgreSQL is preferred).
• Experience with LangChain, AutoGen, or similar frameworks for multi-agent systems.
• Deep understanding of versioning control tools - Git in particular.
• Good understanding of security and performance considerations.
• Understanding of layout aesthetics, responsive design and mobile web development.
• Understanding of architectural and design patterns.
• General familiarity with a wide variety of open-source technologies and tools.
• Excellent analytical and multitasking skills.
• Excellent communication and collaboration skills.
• Professional proficiency in English.

Nice to have

• Experience in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation.