Roland Berger
AI Lab
FullStackDeveloper
Neural analysis suggests this role is
optimal for mid candidates.
“Full Stack Developer at Roland Berger. Skills: Full-stack development, Python, React, LLM-enabled applications. Build reliable, secure, full-stack systems. Power agentic and LLM-enabled applications”
What You'll Achieve.
large-scale deployment; performance-oriented design
Industry & Context.
What They're Looking For.
Must Have
Degree in Computer Science/Engineering or equivalent experience, 4+ years of experience building production-level code in full-stack environments with 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), 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
Nice to Have
entrepreneurial mindset, winning personality
What You'll Do.
Power agentic and LLM-enabled applications
Design and implement APIs
Implement core domain logic
Enable evaluation and finetuning workflows
Deliver robust systems
Build and wire front ends
Implement proper logging
Implement scalability patterns
Implement responsible AI guardrails
How You'll Work.
Team & Collaboration
Collaborate with DevOps; Collaborate with architects; Collaborate with GenAI engineers; Team working spirit
Communication Scope
excellent communication skills in English
Full Job Description
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. ## Qualifications * 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 ## Additional Information 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 po
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