Machine Learning Engineer
<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>My client is building enterprise-scale AI products used by millions of end users. They're looking for experienced AI Engineers who enjoy solving difficult engineering problems rather than simply integrating APIs. This is a role where you'll build production-grade AI systems that need to be reliable, scalable and cost efficient.</p><p><br/></p><p>You'll work on everything from agentic AI platforms and enterprise search through to Voice AI, Document AI and intelligent workflow automation, collaborating with experienced engineers in a highly technical environment.</p><p><br/></p><p>The Opportunity</p><p>You'll design and build AI-powered software that operates at enterprise scale, with deployments supporting tens of millions of users in on-premise environments.</p><p><br/></p><p>Projects include:</p><ul><li>Building AI-native products where LLMs are embedded directly into user workflows</li><li>Developing autonomous AI agents using modern agentic frameworks</li><li>Creating intelligent enterprise search across structured and unstructured data</li><li>Designing Document AI pipelines for extraction and classification</li><li>Developing Voice AI applications using real-time streaming architectures</li><li>Automating complex business processes using Generative AI</li><li>Taking research papers and turning them into robust production systems</li></ul><p><br/></p><p>This is a hands-on engineering role where software quality is valued just as highly as AI capability.</p><p>What You'll Be Doing</p><ul><li>Design and develop production-ready AI applications</li><li>Build scalable LLM and RAG pipelines</li><li>Develop agentic systems using modern orchestration frameworks</li><li>Optimise AI workloads for performance and infrastructure efficiency</li><li>Build APIs and backend services in Python</li><li>Contribute to frontend components where required using TypeScript</li><li>Work with Kubernetes-based infrastructure and CI/CD pipelines</li><li>Collaborate closely with product teams and customers to solve real business problems</li><li>Participate in architecture discussions, code reviews and technical knowledge sharing</li></ul><p><br/></p><p>Tech Stack</p><p>Depending on the project, you'll work with technologies including:</p><p><strong>Languages</strong></p><ul><li>Python</li><li>TypeScript</li><li>Rust (nice to have)</li></ul><p><strong>AI & Machine Learning</strong></p><ul><li>LLMs</li><li>Transformers</li><li>Embeddings</li><li>PyTorch</li><li>Hugging Face</li><li>scikit-learn</li><li>LiteLLM</li></ul><p><strong>Agentic AI</strong></p><ul><li>LangChain</li><li>LangGraph</li><li>MCP</li><li>Tool Calling</li><li>Durable Execution</li></ul><p><strong>Backend</strong></p><ul><li>FastAPI</li><li>Pydantic</li><li>AsyncIO</li></ul><p><strong>Infrastructure</strong></p><ul><li>Docker</li><li>Kubernetes</li><li>Redis</li><li>PostgreSQL</li><li>Elasticsearch</li></ul><p><strong>Observability</strong></p><ul><li>OpenTelemetry</li><li>Prometheus</li><li>Grafana</li></ul><p><br/></p><p>What They're Looking For</p><p>You'll likely have experience with several of the following:</p><ul><li>Strong Python software engineering skills</li><li>Experience building production AI or machine learning systems</li><li>Solid understanding of LLMs, embeddings and transformer architectures</li><li>Experience developing scalable backend services</li><li>Knowledge of modern software engineering practices including testing, Git workflows and CI/CD</li><li>Experience with containerisation and Kubernetes</li><li>Strong problem-solving ability and an engineering-first mindset</li><li>Fluent German communication skills</li></ul><p><br/></p><p>Nice to Have</p><p>Experience in one or more of the following would be particularly valuable:</p><ul><li>Fine-tuning LLMs</li><li>Model optimisation or inference optimisation</li><li>Enterprise AI deployments</li><li>AI agents used in production</li><li>Voice AI</li><li>Document AI</li><li>Enterprise search</li><li>Software security or regulated environments</li><li>Jenkins and advanced DevOps tooling</li><li>Rust</li></ul><p><br/></p><p>Why Join?</p><ul><li>Work on AI systems deployed at enterprise scale</li><li>Build products used by millions of users</li><li>Work across multiple AI domains including LLMs, Voice AI and intelligent automation</li><li>Highly collaborative engineering culture with regular technical knowledge sharing</li><li>Modern technology stack with a strong focus on engineering quality</li><li>Opportunity to work on genuinely challenging AI problems rather than proof-of-concepts</li><li>Remote-first working with long-term career growth</li></ul><p><br/></p> </div>