Senior Python Software Engineer (Contract, Poland, Remote)
This is a full time remote contract opportunity for those based in Poland.
About Nearform
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.
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 modernise legacy systems by unleashing the power of AI.
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.
As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, 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.
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.
Ready to Join Us?
If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.
Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.
Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.
If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.
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.
