Full Stack Developer (all genders)

Join our growing Roland Berger AI Lab to build reliable, secure, full-stack systems that power agentic and LLM-enabled applications. You will design and implement APIs, core domain logic, and integrations; enable evaluation and finetuning workflows. Collaborate with DevOps, architects, and GenAI engineers to deliver robust systems from PoV to large-scale deployment. Expect hands-on development in Python and modern front-end frameworks, clean interfaces, robust testing, performance-oriented design, clear documentation and ownership.

You will build and wire front ends for agentic systems, ensuring excellent UX, proper logging, monitoring, tracing, scalability patterns, and responsible AI guardrails by design.

• Degree in Computer Science/Engineering or equivalent experience 
• 4+ years of experience building production-level code in full-stack environments with strong software engineering fundamentals
• Proficiency across backend (Python, Rest API design, GraphQL, MCP, async/event-driven programming, performance tuning), frontend (React, Next.js), database (Redis, Postgres)
• Proven ability to build secure, scalable architectures with logging, monitoring, tracing, and service reliability best practices
• Hands-on experience of modern DevOps practices, including CI/CD pipelines, Git-based workflows, Docker and cloud deployment/delivery (Azure preferred)
• Strong understanding of data modeling and integrations (SQL/NoSQL/object stores), as well as integration with third-party systems
• Familiarity with LLM/agent runtimes, including tool calling, orchestration and evaluation loop design
• Team working spirit and excellent communication skills in English

Do you have an entrepreneurial mindset with a winning personality? If so, we look forward to receiving your application (CV, high school diploma, certificates of all academic degrees, work certificates including internships, as well as proof of semesters abroad) via our online portal. If you have any questions, don't hesitate to contact me.