Senior Python GenAI Software Engineer

August 1

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Nearform

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B2B • Enterprise • SaaS

Nearform is an independent team of engineers, designers, and strategists that builds digital capabilities and software solutions for enterprises. They specialize in modernizing organizations with a focus on customer experience, product design, and enterprise modernization. Nearform leverages cutting-edge technologies, agile delivery methods, and a commitment to open-source solutions to create impactful, future-ready enterprise platforms. Their services include digital transformation, data and AI solutions, and enhancing digital resilience in sectors such as financial services.

201 - 500 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

💰 Venture Round on 2021-02

📋 Description

• This is a full time remote contract opportunity for those based in Poland. • 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. • 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.

🎯 Requirements

• 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.