Founding AI Engineer @ Embedded AI Efficiency Layer, Berlin

<p><em><span style="color:#000000">This is an Atlantic portfolio venture.<br><br></span></em></p><p><strong><span style="color:#000000">About the Venture</span></strong></p><p><span style="color:#000000">AI is being integrated into more products every month, and every interaction consumes tokens. As usage scales, costs add up quickly. The first race was adoption. The next is efficiency: inference costs increasingly determine what companies can afford to build and ship.</span></p><p><span style="color:#000000">We’re building the efficiency layer for production AI. Our systems make AI dramatically leaner, reducing token usage and lowering the cost of every interaction without compromising the quality standards that matter. Over time, we aim to improve both cost and quality, so companies can do more with AI rather than choose between better performance and a healthier bottom line.</span></p><p><span style="color:#000000">We closed our pre-seed in just three weeks and are now preparing our first customer pilots. The pace is high and the timelines are ambitious. We are aiming for something big, and that requires a lot of input from every member of our early team.&nbsp;<br><br></span></p><p><strong><span style="color:#000000">About the Role</span></strong></p><p><span style="color:#000000">You’ll join as our first AI engineer and work directly with the founders to build the core product from the ground up. You’ll own major areas of product development, help define our architecture and technical direction, and turn complex research and engineering problems into reliable production systems.</span></p><p style="min-height: 1.7em;"></p><p><span style="color:#000000">This role requires someone who can think deeply about AI systems and write the code to build them. You’ll work across AI infrastructure, backend systems, evaluation and enterprise deployments, with substantial ownership over the technical decisions behind the product.<br><br></span></p><p><strong><span style="color:#000000">What You’ll Do</span></strong></p><ul><li><p><span style="color:#000000">Research, invent and productionise systems for AI cost efficiency, context optimisation and token reduction.</span></p></li><li><p><span style="color:#000000">Build across context selection, compression, caching, model routing, tool-call reduction, retry control and output budgets.</span></p></li><li><p><span style="color:#000000">Develop APIs, an OpenAI-compatible gateway and integrations with model providers and enterprise AI applications.</span></p></li><li><p><span style="color:#000000">Create reproducible cost-quality evaluations, regression tests and quality gates.</span></p></li><li><p><span style="color:#000000">Own production reliability across monitoring, deployments, incidents, capacity, availability and latency.</span></p></li><li><p><span style="color:#000000">Build secure enterprise infrastructure with tenant isolation, access controls, secrets management and protected customer data.</span></p></li><li><p><span style="color:#000000">Optimise distributed-system performance across throughput, caching, rate limits, resource usage and failure handling.</span></p></li><li><p><span style="color:#000000">Translate early customer requirements into reliable product capabilities.</span></p></li><li><p><span style="color:#000000">Take on the broad day-to-day engineering work required to move an early product forward.<br><br></span></p></li></ul><p><strong><span style="color:#000000">About You</span></strong></p><p><span style="color:#000000">You’re an experienced AI engineer who combines strong software engineering with original thinking about how production AI systems can become more efficient. You can reason from first principles about where cost and quality are lost, test new approaches rigorously and turn the strongest ideas into production-grade code.<br></span></p><ul><li><p><span style="color:#000000">You have substantial experience in software engineering, backend systems and API development.</span></p></li><li><p><span style="color:#000000">You are highly proficient in python or TypeScript or at least some coding languages and comfortable working across them.</span></p></li><li><p><span style="color:#000000">You understand the foundations of modern LLM systems, including tokenisation, context management, inference behaviour, model evaluation and the trade-offs between cost, latency and quality.</span></p></li><li><p><span style="color:#000000">You have hands-on experience building with LLM APIs and understand the behaviour, cost and reliability challenges of production AI systems.</span></p></li><li><p><span style="color:#000000">You have practical experience designing experiments and evaluations that measure both model quality and system performance.</span></p></li><li><p><span style="color:#000000">You have worked with cloud infrastructure, PostgreSQL and Docker. Kubernetes experience is a strong advantage.</span></p></li><li><p><span style="color:#000000">Experience with vLLM, SGLang, LiteLLM or similar AI infrastructure is highly relevant.</span></p></li><li><p><span style="color:#000000">You understand distributed-system performance, including latency, throughput, caching, rate limits and failure handling.</span></p></li><li><p><span style="color:#000000">You can independently research difficult problems, test hypotheses and translate technical ideas into working systems.</span></p></li><li><p><span style="color:#000000">You write clear, reliable code and are comfortable owning systems through deployment and production.</span></p></li><li><p><span style="color:#000000">Fluent English is required. German is an advantage.<br></span></p></li></ul><p><span style="color:#000000">We do not expect you to have worked on every system or technology listed above. We do expect deep experience in some of these areas, strong software engineering fundamentals and the ability to develop genuine technical depth in the rest.<br><br></span></p><p><strong><span style="color:#000000">Why Join</span></strong></p><p><span style="color:#000000">You’ll join at the earliest stage and help shape the product, architecture and company strategy. You’ll invent core technology directly with the founders and receive meaningful equity in what you help build.<br></span></p><p><span style="color:#000000">The pace is demanding and the technical bar is high, but the scope and opportunity are significant. This role suits an AI engineer who wants substantial ownership and the chance to work on difficult, commercially important infrastructure problems.<br></span></p><p><span style="color:#000000">This is a full-time role based in our Berlin office five days a week, with a start date as soon as possible.</span></p><p style="min-height: 1.7em;"></p> <br> <p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>