Senior Digital Solution Engineer

Nearform is a global team of engineers, designers, data experts and strategists who build intelligent digital solutions and capability at pace. We create software solutions that enhance digital experiences, empower developers, and deliver measurable results.

Our deep expertise in solving the world's most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernize legacy systems, with confidence.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.

Job Description

As a Senior Python GenAI Developer at Nearform, you will work closely with clients to translate complex business requirements into innovative digital products.

You will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications.

Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.

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

• Significant experience delivering at a Senior Developer level in an enterprise environment.
• Knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation.
• 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).
• 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).
• Experience with LangChain, AutoGen, or similar frameworks for multi-agent systems.

Our Interview Process

We use a structured interview process to assess your skills and experience. This typically involves three stages: Talent Call, Technical Assessment and Hiring Manager Interview.

During the Talent Call, we'll have an introductory conversation to learn more about your background, experience and career goals.

At the Technical Assessment, you'll be asked to complete a live coding challenge to demonstrate your problem-solving ability and coding best practices.

The Hiring Manager Interview is a conversation with one of our Hiring Managers to discuss your approach to teamwork, client collaboration and problem-solving in an enterprise development setting.

Depending on the project, there may also be an additional interview with the client.