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