About the Role
<p class="MsoNormal">We are looking for a skilled and motivated Consultant to join our team. The ideal candidate combines strong software engineering expertise with hands-on experience in modern AI systems, including agentic AI and generative AI applications. You will support our clients in designing and building intelligent, production-ready systems that leverage LLMs, autonomous agents, and scalable cloud architectures. </p><p class="MsoNormal"><strong>Responsibilities:</strong></p><p class="MsoListParagraphCxSpFirst">· Design, build, and deploy scalable, production-grade systems on cloud platforms such as AWS, GCP, or Azure.</p><p class="MsoListParagraphCxSpFirst">· Develop and operate agentic AI systems, including multi-step workflows, tool integration, and autonomous decision-making components.</p><p class="MsoListParagraphCxSpFirst">· Lead end-to-end implementation of AI-driven features, from prototyping (PoC) to production deployment.</p><p class="MsoListParagraphCxSpFirst">· Build high-performance APIs and backend services for AI applications using frameworks such as FastAPI, Flask, or Spring Boot.</p><p class="MsoListParagraphCxSpFirst">· Integrate generative AI solutions (LLMs, vector databases, RAG pipelines, orchestration frameworks like LangChain/LangGraph) into enterprise environments.</p><p class="MsoListParagraphCxSpFirst">· Design and implement robust orchestration and retrieval pipelines for scalable AI applications.</p><p class="MsoListParagraphCxSpFirst">· Set up and maintain MLOps / LLMOps pipelines and CI/CD workflows for continuous integration, evaluation, and deployment.</p><p class="MsoListParagraphCxSpFirst">· Ensure software quality through testing, monitoring, observability, and performance optimization.</p><p class="MsoListParagraphCxSpFirst">· Collaborate closely with clients and cross-functional teams to identify requirements and deliver impactful AI solutions.</p><p class="MsoNormal"><strong> </strong></p><p class="MsoNormal"><strong>What we offer you:</strong></p><p class="MsoListParagraphCxSpFirst">· Work on innovative AI and Software Engineering projects across industries (Banking, Insurance, Automotive, Retail, etc.).</p><p class="MsoListParagraphCxSpMiddle">· Expand your skills in areas such as MLOps, cloud architecture, data engineering, and generative AI.</p><p class="MsoListParagraphCxSpMiddle">· Collaborate with top technology partners in the cloud, AI, and automation ecosystem.</p><p class="MsoListParagraphCxSpMiddle">· Access to training, certifications, and interdisciplinary projects.</p><p class="MsoListParagraphCxSpMiddle">· Join a vibrant community with hackathons, conferences, and knowledge-sharing events.</p><p class="MsoListParagraphCxSpMiddle">· Award-winning office space in downtown Munich with great transport connections.</p><p class="MsoListParagraphCxSpLast">· Flexible working model between client site, Reply office, and remote work.</p><p>Deutschlandticket for public</p><p style="min-height: 1.7em;"></p> <br> <p class="MsoNormal"><strong>Job requirements</strong></p><p class="MsoNormal"><em>Minimum Qualifications:</em></p><p class="MsoListParagraphCxSpFirst">· Completed university studies with a strong quantitative or technical background (e.g., Computer Science, Data Science, Engineering, or similar).</p><p class="MsoListParagraphCxSpMiddle">· Ideally, you have already gained some initial consulting and project management experience <strong>Teamwork & Collaboration</strong> – ability to work effectively with others toward common objectives.</p><p class="MsoListParagraphCxSpMiddle">· <strong>Adaptability</strong> – flexibility in taking on different roles within a team and understand the need of the costumer</p><p class="MsoListParagraphCxSpMiddle">· Solid programming experience in at least two programming languages such as Python, Java, Rust, or JavaScript.</p><p class="MsoListParagraphCxSpMiddle">· Practical experience deploying ML/AI models into production environments (on-premises or cloud).</p><p class="MsoListParagraphCxSpMiddle">· Experience with different database technologies, including SQL and NoSQL, with knowledge of database design, data modeling, and data management.</p><p class="MsoListParagraphCxSpMiddle">· Experience with large language models (L