Lead AI Software Developer

Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization.You’re ideal for this role if you: • Have extensive experience in backend development with Python in production environments • Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions • Understand system integrations, API architecture, and scalable cloud-based applications • Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes • Are experienced in designing secure and scalable enterprise solutions • Have strong problem-solving skills and can proactively remove technical blockers • Enjoy working closely with cross-functional teams in an international environment • Have experience mentoring developers, conducting code reviews, and promoting engineering best practices • Are interested in modern AI architectures, workflow automation, and multi-agent systems • Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ • Designing and developing scalable backend services and AI-driven integration solutions in Python • Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems • Creating and optimizing multi-agent workflows and intelligent automation processes • Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations • Integrating external AI platforms, internal tools, and cloud services into production environments • Working with cloud technologies and containerized infrastructure in AWS or Azure environments • Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows • Conducting code reviews, mentoring team members, and supporting engineering best practices • Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements • Contributing to technical documentation, architecture discussions, and innovation initiatives across the team