
Lead AI Software Engineer
1 dia atrás
We are looking for an accomplished Senior GenAI Developer to contribute to our Engineering function.
- The ideal candidate will have significant experience delivering at a Senior Developer level in an enterprise environment.
- He or she will have practical knowledge of delivering in an agile environment and a deep understanding of Python.
- The successful applicant will also have expertise with LangChain, AutoGen, or similar frameworks for multi-agent systems, as well as a deep understanding of SQL Databases (PostgreSQL is preferred).
- Designing and building high-performance applications using Python and GenAI tools.
- 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.
- Significant experience delivering at a Senior Developer level in an enterprise environment.
- Practical experience of delivering in an agile environment.
- 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.
- 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.
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