Senior AI/ML Engineer at SumUp | Berlin, Germany

At SumUp, our mission is to empower small businesses by providing them with accessible and user-friendly tools for payments, finance, and customer relationships. We are a dynamic team grounded in our core values: Founder’s Mentality, Team First, and We Care. We foster an organization that is people-oriented, disciplined, and consistently innovating from with…

Role Overview airapps is looking for an AI/ML Engineer to help design and build machine learning models. This role works closely with a skilled team focused on using technology to improve processes and outcomes. Location Berlin Metropolitan Area

At Pipedrive, we recognize that exceptional products are the result of exceptional people. Our team embodies our core values, and we prioritize these in our hiring process. Since our inception in 2010, we have been dedicated to empowering sales and marketing teams with intuitive, robust tools that streamline daily operations. Today, our cloud-based platform is trusted by over 100,000 businesses across 179 countries. From a humble beginning of just five individuals, we have expanded to a diverse, global workforce of over 850 professionals from more than 50 nationalities, with ten offices across Europe and the U.S. In 2020, we celebrated a significant milestone when Vista Equity Partners, a leading global investment firm focused solely on enterprise software, data, and technology-enabled companies, became our majority investor, placing Pipedrive among Estonia's elite unicorns.We are currently seeking a Principal AI/ML Scientist & Engineer to spearhead a dynamic team of Applied Scientists and AI/ML Engineers. This role is ideal for a pragmatic "Builder-Scientist"—a technical leader with a rigorous scientific background who is also passionate about delivering data products that captivate our customers. You will define the technical roadmap for AI/ML solutions that harness the potential of both structured and unstructured data, effectively bridging the divide between cutting-edge research and production-ready systems. Your success will be measured by your technical leadership, the leverage you provide, and the tangible business results you drive.

About UsAt Melotech, we are transforming the media and entertainment landscape by creating art through innovative technology. In just two years, our creations have captivated audiences for over 3 billion minutes globally. Founded by visionary entrepreneur Soheil Mirpour, we are financed by leading venture capitalists including Cherry Ventures, Speedinvest, and GFC, along with distinguished angel investors from esteemed firms such as Spotify, Blackstone, and KKR.Your RoleAs an AI/ML Engineer Intern, you will serve as the technical foundation of our content platform. You will confront essential challenges such as: How do we construct scalable ML systems that cater to millions while ensuring low latency? What is the most effective architecture for training and deploying models that can analyze cultural trends in real-time? How can we utilize state-of-the-art models to enhance the creative process without sacrificing quality? Working independently alongside our founder and team, your solutions will significantly impact our company's trajectory. Your day-to-day responsibilities will include:Building and deploying production-ready ML models within our content ecosystem.Designing scalable ML infrastructure and pipelines to manage extensive media datasets.Implementing inference systems for optimizing content across various sectors.Fine-tuning and deploying multimodal AI systems using best practices in MLOps.Collaborating with data science teams to transition research models into production systems.Optimizing model performance for cost efficiency while upholding accuracy and speed standards.Integrating ML features into existing platforms and developing APIs for seamless model access.Your ProfileYou are an aspiring ML engineer focused on production, adept at connecting advanced technology with scalable systems. Your strengths lie in establishing robust ML infrastructures that empower real-world applications at scale. You excel in dynamic environments where your technical choices significantly influence business results and user experiences. Your qualifications typically include:A degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related technical field.3+ years of practical ML engineering experience, building production systems within major tech firms, high-growth startups, or media/entertainment platforms.Proficiency in programming languages such as Python and familiarity with ML frameworks like TensorFlow or PyTorch.Strong analytical and problem-solving skills alongside effective communication abilities.

About UsAt Melotech, we are transforming the media and entertainment landscape by merging art with technology, crafting experiences that resonate with audiences globally. In just two years, our innovative projects have garnered over 3 billion minutes of engagement worldwide.Founded by visionary entrepreneur Soheil Mirpour, we are proudly supported by leading venture capitalists including Cherry Ventures, Speedinvest, and GFC, along with esteemed angel investors from top firms such as Spotify, Blackstone, and KKR.Your RoleAs a Machine Learning Engineer at Melotech, you will be the pivotal force driving our content platform. You will face essential challenges: How can we construct ML systems that efficiently serve millions while ensuring low latency? What is the best architecture for developing and deploying models that interpret cultural trends instantaneously? How can we harness advanced models to enrich creative processes without compromising quality? Your autonomous work will directly shape our success, collaborating closely with our founder and team. Daily responsibilities may include:Building and implementing production-grade ML models within our content ecosystem.Designing scalable ML infrastructure and pipelines to manage extensive media datasets.Creating inference systems for content optimization across various sectors.Tuning and deploying multimodal AI systems utilizing MLOps best practices.Partnering with data science teams to transition research models into production-level solutions.Enhancing model efficiency for cost-effectiveness while ensuring accuracy and rapid response times.Integrating ML functionalities into existing platforms and developing APIs for streamlined model access.Your ProfileYou are an ML engineer focused on production who connects cutting-edge technology with scalable systems. Your expertise lies in constructing resilient ML infrastructures that support real-world applications at scale. You thrive in dynamic environments where your technical choices significantly influence business outcomes and user experiences. Your qualifications typically include:A degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related field.3+ years of practical ML engineering experience developing production systems at leading tech companies, high-growth startups, or in the media/entertainment sector.Strong grasp of machine learning frameworks and libraries.Experience with cloud platforms and deployment strategies.Proficiency in programming languages such as Python, Java, or C++.

About the RoleWe are on the lookout for two highly skilled backend engineers to join our dynamic team in Berlin. You will be instrumental in advancing the development and implementation of our technology, enhancing our capacity to create core backend functionalities, and empowering other teams to utilize this backend for their projects.If you have a passion for creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the success of an ambitious startup, this is the perfect opportunity for you.Our Tech Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGCPAs an early team member, you will assume significant responsibilities from day one, with the chance to influence our technological architecture and infrastructure.Join one of the most ambitious AI companies today, collaborating with a world-class team of experts in their fields, and experience an incredibly stimulating work environment. In This Role You WillLead the delivery of complex projects, coordinating with cross-functional teams, and ensuring timely completion of essential components.Develop a deep understanding of Reliant's vision and integrate this into your architectural and process decisions in daily operations.Offer insights to refine UI/UX concepts and assist in the planning of backend and infrastructure development.Take proactive responsibility for long-term code quality and architecture. About YouThe ideal candidate will have a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design that supports growth opportunities for both the product and the team.To thrive in this role, you should possess the following skills and experiences:5+ years of demonstrated experience in building backend services or distributed systems.Ability to design, develop, test, and maintain backend services and APIs that support product features, including writing robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed trade-offs regarding scalability, latency, cost, and reliability.Navigate ambiguity effectively; translate vague or high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure high code quality by writing, reviewing, and improving unit/integration tests; actively participate in code reviews.

Legal teams often find themselves overwhelmed by monotonous tasks, causing delays across the organization. At Flank, we are revolutionizing this scenario.We operate at the forefront of AI innovation, developing the next generation of autonomous agents tailored for enterprises. We have successfully secured a $10M Series A funding round led by Insight Partners (US), with ongoing support from Gradient Ventures (Google’s AI fund), HV Capital, and Speedinvest (EU).Our solution is not merely an optional tool for small startups; we are actively deploying Flank agents within multinational corporations exceeding 100,000 employees, fully automating workflows that were previously deemed unsolvable. Our agents function continuously, under defined parameters with customer oversight, escalating only exceptions to legal for evaluation. Every action and request is transparent and auditable, assuring customers complete visibility over their automated workforce.We are on the lookout for a skilled AI Engineer to spearhead our applied AI projects.In our dynamic startup environment, you will collaborate closely with product, design, and commercial teams to deliver tangible AI solutions — moving beyond mere research experiments.Your responsibilities will include harnessing emerging technologies alongside a team of legal experts to enhance the intelligence and autonomy of our agents.This role may involve the creation of an evaluation framework in partnership with our legal team, or developing a hypervisor that governs each aspect of our agentic system, ensuring alignment with best practices in legal AI systems.

JOIN US IN REVOLUTIONIZING EDUCATIONAt Knowunity, we are on a mission to create the premier AI learning companion for 1 billion students worldwide.We envision a future where every student can access, enjoy, and benefit from top-notch educational resources. Since our inception in 2020, we have been dedicated to transforming the way students learn.With millions already utilizing our AI learning platform every week, and backed by a recent €27m investment—the largest in European education in the past three years—we are poised to lead the AI learning market into a new era of personalized education.As part of our elite team of 60 innovative builders, you will have the unique opportunity to contribute to a product that has the potential to change education on a global scale.Seize your chance to help shape a generational company!

Become a part of Voyfai, a rapidly expanding Series A startup redefining logistics and technology throughout Europe.Located in the vibrant city of Berlin, we are at the heart of a diverse portfolio of companies engaging across multiple European markets.This is an exceptional opportunity to take the reins from the outset, create significant impact, and develop your career in an agile, fast-moving atmosphere. Whether you’re optimizing processes, formulating strategies, or spearheading initiatives, your efforts will directly contribute to the success of Voyfai and the enterprises we empower. If you have a passion for building innovative solutions and wish to join a rising star, we encourage you to reach out!Your RoleAs a Senior AI Engineer at Voyfai, you will be instrumental in crafting, developing, and scaling LLM-driven and applied GenAI systems that enhance our main offerings. You will collaborate closely with Product, Engineering, and Business teams to convert complex, unstructured challenges into effective, production-ready AI solutions.This role is hands-on and focused on delivering tangible results. You will take full ownership from identifying use cases and designing prompts or models to deploying, monitoring, and continuously improving systems in production, with a strong emphasis on real-world reliability and business outcomes.Key Responsibilities:Design, develop, and implement LLM-driven and GenAI features for impactful, real-world applications.Build and manage end-to-end GenAI pipelines, encompassing prompt design, model selection or fine-tuning, evaluation, and deployment.Integrate foundational models into production systems, prioritizing latency, cost-efficiency, reliability, and quality.Collaborate with Product Managers and Engineers to convert vague business challenges into scalable AI solutions.Oversee production AI systems, including monitoring, evaluation, guardrails, and feedback mechanisms.Contribute to architectural choices regarding AI platforms, retrieval systems, vector databases, and LLMOps tooling.Elevate the technical standard through code quality, documentation, and mentorship.What You Bring:Several years of experience as an AI Engineer, Machine Learning Engineer, or in a related role, with a hands-on focus on LLMs and applied GenAI in operational environments.Strong grasp of LLM behavior, prompting techniques, evaluation strategies, and common failure modes.Proven track record of successfully implementing AI solutions that drive business value.

About UsAt reliant-ai, we are dedicated to transforming decision-making in an age of overwhelming information. Our mission is to develop the next generation of machine learning software, leveraging generative AI to analyze critical data sources and deliver comprehensive, factual answers to complex inquiries.We believe that the true potential of generative AI can only be achieved by tackling the world's most significant information challenges. With over two decades of expertise in reinforcement learning and natural language processing, we are poised to make a substantial impact in this field.Our team consists of scientists, builders, and entrepreneurs who have pioneered some of the most influential AI applications. Having led teams at industry giants like Google, DeepMind, and EY Parthenon, we now connect cutting-edge AI research with the biopharma sector.

Your MissionAs the AI Automation Engineer at Cosuno, you will spearhead our efforts to enhance operational efficiency. Your expertise in our automation stack will enable you to collaborate with various teams across the organization to identify, design, and implement AI-driven workflows that revolutionize their processes. Instead of developing proprietary models from scratch, you will utilize cutting-edge existing models and reasoning chains to address critical business challenges.Working alongside the product team, you will engage closely with the CEO and CTO to ensure that all automation solutions are technically robust and aligned with our core infrastructure. This role is execution-focused, with success defined by the speed and reliability of the modular automation platform you develop.Key ResponsibilitiesDiscovery & Prioritization: Collaborate with Finance, Sales, Operations, and Product teams to uncover high-return automation opportunities and assess them based on their business impact versus technical feasibility.Workflow Engineering: Architect, prototype, and implement comprehensive AI workflows by developing our orchestration stack (e.g., n8n, Vector Databases) and integrating various endpoints via APIs to establish a universal memory for Cosuno.Scaling & Modularity: Create solutions that are modular and adaptable across departments, avoiding redundancy for new requests.Enablement & Governance: Set AI guardrails while empowering AI advocates in other departments to utilize the automations effectively.Monitoring & Optimization: Define and monitor success metrics (ROI, time savings, reliability) to guarantee that our automations continuously provide value.

Join our innovative team at akirolabs as a Senior AI Engineer, where you'll play a crucial role in designing and implementing cutting-edge artificial intelligence solutions. We are looking for a passionate individual who thrives in a dynamic environment and is ready to take on challenging projects that push the boundaries of technology.

Trinetix is seeking a talented AI Engineer to join our innovative team.As a part of Trinetix, you will work on exciting projects with a leading global telecommunications company that operates one of the most reliable internet backbones across over 100 countries. In this role, you will contribute to ambitious AI initiatives aimed at enhancing network operations through intelligent automation, predictive analytics, and AI-enabled workflows.Your work will involve developing GenAI applications, AIOps intelligence, and RAG-based systems, helping to revolutionize the monitoring, analysis, and operation of complex telecom infrastructures. This position integrates engineering, data science, and product strategy to deliver AI solutions that have a significant business impact.Join us to advance your career in a vibrant international setting while playing a pivotal role in shaping the future of AI-enhanced network operations.

Join Arbio, a pioneering AI-driven hospitality company, and be part of our mission to revolutionize short-term rentals across Europe.At Arbio, we leverage cutting-edge technology to enhance efficiency, elevate guest experiences, and streamline operations in the short-term rental sector. Our rapidly growing team is dedicated to shaping the future of hospitality with innovative AI solutions, all while fostering a culture of performance and accountability. Come aboard and help us lead the industry into a new era of growth and innovation.As a Senior AI Engineer, you will be instrumental in developing the intelligence framework that underpins our operations, from property management to guest services. We are focused on creating advanced Retrieval-Augmented Generation (RAG) systems that convert disparate data into immediate, actionable insights, empowering our teams to provide world-class guest experiences.Your contributions will include:Designing high-performance RAG pipelines utilizing MongoDB Vector DB for rapid semantic search capabilities.Building agent workflows based on LangChain for complex reasoning tasks.Integrating various LLM providers such as Claude, OpenAI, and Gemini.Writing maintainable and scalable TypeScript code to facilitate our growth.Monitoring and optimizing using LangSmith and other LLMOps tools.Collaborating with a dynamic, agile team to push the boundaries of AI in the hospitality field.

About coretylyntcoretylynt is revolutionizing the industrial supply chain with an innovative AI-powered trading platform that facilitates seamless connections between vetted suppliers across Asia, Europe, and the GCC region and local demand. Our integrated platform digitizes and automates the entire lifecycle of materials trade, optimizing processes from procurement and pricing to inventory management, logistics, and embedded financing. This automation replaces thousands of manual, relationship-driven tasks, enabling real-time orchestration of supply chains.Our platform provides buyers with instant quotes, dependable availability, and predictable delivery through a unified operating system. Suppliers enjoy precise forecasting, effective demand management, and smooth integration into cross-border fulfillment networks. Partnering with leading brands, we manage both dropship and cross-dock fulfillment for large-scale transactions, transforming global supply chains into predictable, efficient workflows akin to software systems.With strong backing from top-tier investors and institutional financing partners, coretylynt has achieved triple-digit million GMV, operates in six international markets, and is swiftly moving toward profitability. Our team of over 80 professionals, based in Berlin and Asia, is committed to creating the world’s first industrial-grade AI operating system for materials, redefining how global trade functions in one of the world’s largest and most critical industries.Join our dynamic Tech team, where you will collaborate with highly ambitious and knowledgeable engineers, tackle complex challenges, and gain exposure to commercial aspects.Our Tech Stack: Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), AWS, GitHub Actions, Node.js, Java 21 (Spring Boot 3), Postgres, Kinesis, Terraform, Typescript, NextJS, React.

Role Overview Cosuno is looking for a Senior AI Engineer to join the AI team, working from Berlin or remotely. This role focuses on building and refining the intelligent systems that drive Cosuno’s platform for the construction industry. What You Will Do AI Agent Development: Design and improve intelligent agent systems that handle the complex tendering process using multi-step reasoning. End-to-End Product Integration: Own feature delivery across the stack, from model and API to the TypeScript front-end, making sure new capabilities fit smoothly into the web application. Ranking, Search, and Retrieval: Improve systems for subcontractor matching and marketplace search, focusing on ranking and retrieval performance. Price Prediction: Enhance models that estimate fair pricing for construction projects, helping users evaluate bids and make procurement decisions. Experimentation and Evaluation: Run offline evaluations, set up A/B tests, and use metrics to guide iterative improvements. Cross-Team Collaboration: Work closely with Product, Engineering, and Data teams to turn business challenges into meaningful ML and AI solutions. Production ML and AI Maintenance: Monitor, alert, and continuously improve all deployed machine learning and AI systems.

About RealistRealist is a pioneering WealthTech startup located in Germany, dedicated to revolutionizing the financial sector with state-of-the-art technology, insightful data analytics, and robust financial infrastructure. As we enhance our platform and technological capabilities, we are in search of a seasoned Senior Software Engineer to join our expanding team in Berlin and contribute to the creation of next-generation financial systems.About the RoleIn the capacity of Senior Software Engineer, you will be instrumental in designing and developing high-performance financial systems that efficiently handle vast quantities of data in a secure manner. You will collaborate closely with product, engineering, and data teams to architect scalable systems and aid in the development of intelligent, AI-driven financial applications.This position demands substantial experience in backend engineering, distributed systems, and data-intensive architectures, combined with a mindset conducive to a dynamic startup environment. We are particularly interested in candidates who are quick learners, capable of swiftly adapting to new technologies and evolving challenges.Key ResponsibilitiesDesign, develop, and maintain scalable backend systems that support data-intensive financial applications.Build and optimize high-performance OLTP systems for transaction-heavy workloads.Contribute to system architecture and design, ensuring reliability, scalability, and maintainability.

Join Almedia, a pioneering company on a mission to redefine marketing in the digital age. With aspirations to become Germany's next bootstrapped unicorn, we are already recognized as Europe's #3 fastest-growing company by the FT1000 in 2025.At Almedia, we empower our community of over 60 million users by rewarding them for engaging with our partners' products, creating an innovative user acquisition strategy for some of the world's largest brands.About the RoleAs an AI Full Stack Engineer, you will develop and enhance internal tools and applications, seamlessly integrating AI functionalities into our existing systems. You will work across the technology stack, connecting to AI APIs, while collaborating with various business teams to optimize their workflows.Your ResponsibilitiesDesign, develop, and maintain full stack applications, covering front end, back end, and databases.Create and support back-end services utilizing Node.js.Integrate and manage AI APIs within new and existing systems.Leverage prompting techniques and cutting-edge AI tools to craft impactful AI-driven features.Navigate through multiple systems and data sources to consolidate fragmented information.Collaborate with teams across marketing, user acquisition, and operations to:Gain insights into their tools and workflows.Identify opportunities for AI to enhance their processes.Translate business needs into technical solutions and iterate on them.Essential QualificationsProven experience with Node.js in a production environment.Demonstrated ability to integrate and utilize AI APIs.Strong programming skills with a solid foundation in engineering principles.Comprehensive full stack knowledge: front end, back end, and databases.Proficient prompting techniques and adept at employing current AI tools.Exceptional communication skills, particularly with non-technical stakeholders.A curious mindset with a strong willingness to learn, especially about AI technologies.Preferred QualificationsFamiliarity with TypeScript.

Referral Bonus: Do you know a standout talent? Connect us via LinkedIn (Dennis Agidigbi) and if we hire them for a full-time position, you’ll earn a bonus of €10,000. About ZauberAfter co-founding and scaling Forto to over $600 million in funding, I took time to reflect on the persistent challenges in global logistics. The answer was evident: it remains a human-centric, spreadsheet-dependent field, rife with repetitive tasks and inadequate system interoperability.With the advent of AI agents, we now possess the capability to revolutionize this sector from the ground up. Zauber develops autonomous agents for the global logistics industry—AI workers that manage operational tasks, engage with systems and individuals, and continuously improve. We are already operational with leading logistics companies across Europe and Asia Supported by one of Europe’s premier early-stage funding firms Rapidly expanding and seeking exceptional engineers to join our early teamWe are currently in search of an outstanding Platform Engineer to assist us in defining and constructing the next generation of AI-driven logistics systems. Role OverviewYou will develop the infrastructure that supports our AI agents. We have made practical early tooling decisions for efficiency, and as we grow, some will thrive while others may not. We require a candidate who comprehends the principles of distributed systems behind contemporary tools and can discern when to maintain simplicity versus when to implement more complex solutions. This is a foundational role where you will architect the systems that the rest of the team will rely upon. Key ResponsibilitiesCreate and manage the runtime infrastructure that sustains our AI agents in production, ensuring the systems are reliable for our customers.Design for concurrency and failure, incorporating queuing, retries, backpressure, and idempotency to ensure agent workflows remain dependable under real-world conditions.Take charge of production reliability, including latency budgets, error budgets, capacity planning, and incident management.Implement monitoring tools with tracing, structured logging, and alerting to identify issues before they impact users.Manage the deployment pipeline comprehensively: CI/CD, preview and staging environments, and the transition from local development to production.Develop internal tools and abstractions that empower the product team to expedite their delivery without compromising quality.

About the PositionJoin our dynamic team as a Staff Full-Stack Engineer where your expertise will play a pivotal role at the intersection of product development, infrastructure, and AI-powered solutions. In this influential position, you will spearhead the architecture and continuous improvement of scalable web applications, contributing significantly to the foundation of Bluefish's AI marketing platform.Your collaboration will span multiple teams, working closely with AI engineers, product managers, designers, and infrastructure specialists to convert abstract product concepts into robust and scalable systems. Beyond just feature development, you will define architectural patterns, steer technical direction, and make certain that engineering decisions align with our company’s growth trajectory.We seek an individual with a strong focus on product and system thinking, dedicated to delivering sustainable solutions and creating measurable impacts for our customers.As a technical leader within our engineering division, you will enhance engineering practices across teams by leading design reviews, mentoring senior engineers, and establishing standards that facilitate rapid progress while ensuring reliability and quality.This role provides the chance to shape the architecture of core systems, influence the overall technical strategy of the company, and define how AI-assisted development will drive the future of marketing technology.Note: This role is primarily associated with our office in Berlin, but we offer remote work options within Germany.