AI/ML Engineer

airapps is looking for an AI/ML Engineer in Munich to help shape the next generation of technology products. This position centers on developing and refining artificial intelligence and machine learning models that support the company’s product goals. What you will do Design and implement AI and machine learning models for real-world applications Work closely with colleagues from different teams to integrate models into products Focus on optimizing model performance and ensuring scalability Collaboration Expect to partner with cross-functional teams throughout projects, sharing knowledge and solving challenges together as new solutions are developed. Role overview This role offers the chance to work on projects that push technology forward, with a focus on practical results and continuous improvement.

About the RoleJoin Neural Concept’s innovative ML Application Engineering team, where our mission is to assist clients in overcoming their most intricate engineering challenges. Collaborating closely with engineering and design teams across the automotive, aerospace, and energy sectors, we delve into their pain points to identify solutions that expedite their conceptual development processes. By harnessing our platform, we unlock the potential of complex computer-aided engineering datasets, creating a significant impact on product design workflows. Our use of 3D deep learning and engineering intelligence empowers our clients to design superior products more efficiently.As a vital member of the Application Engineering Team, you will play a crucial role in guiding industry leaders to transform their product design processes using state-of-the-art technologies. Your expertise will foster trust and admiration among our clients through the delivery of high-quality technical solutions. This is your opportunity to be at the forefront of engineering and AI, collaborating with elite customers around the globe while influencing the future of the industry. If you are excited about experiencing the rapid advancements in engineering, this is the team for you.Key ResponsibilitiesCollaborate with customer engineering teams to analyze and process engineering data using our platform and Python libraries, while developing customized solutions and workflows.Implement machine and deep learning workflows to solve diverse engineering and physics challenges, delivering proofs-of-concept that illustrate how our technology adds value in CAD, CAE, and manufacturing contexts.Educate customer teams on the effective use of our methods and platform, ensuring seamless integration of AI into their existing processes.Work closely with our development team to translate client feedback and needs into product enhancements.Your ProfileYou are passionate about addressing real-world challenges through machine learning and automation, with a strong desire to transform engineering practices for industry leaders.You possess a Master’s or PhD degree in Engineering, Applied Mathematics, or Physics.You have a robust understanding of both engineering principles and machine learning concepts.

Role Overview machinelearningreply is looking for an Agentic AI Software Engineer to join the team in Munich, Bayern. This role centers on building intelligent, production-ready systems using large language models (LLMs), autonomous agents, and scalable cloud infrastructure. The position involves close collaboration with clients to deliver practical AI solutions, with a focus on agentic and generative AI applications. Main Responsibilities Design, develop, and deploy scalable systems on cloud platforms such as AWS, GCP, or Azure. Build and manage agentic AI systems, emphasizing multi-step workflows, tool integration, and autonomous decision-making. Lead the implementation of AI-driven features from proof of concept through to production deployment. Create high-performance APIs and backend services for AI applications using frameworks like FastAPI, Flask, or Spring Boot. Integrate generative AI technologies, including LLMs, vector databases, RAG pipelines, and orchestration frameworks (such as LangChain or LangGraph), into enterprise environments. Design and maintain orchestration and retrieval pipelines to support scalable AI applications. Set up and manage MLOps and LLMOps pipelines, along with CI/CD workflows for integration, evaluation, and deployment. Ensure software quality through thorough testing, monitoring, observability, and performance tuning. Work closely with clients and cross-functional teams to gather requirements and deliver effective AI solutions. What machinelearningreply Offers Opportunities to contribute to innovative AI and software engineering projects across sectors such as Banking, Insurance, Automotive, and Retail. Growth in areas like MLOps, cloud architecture, data engineering, and generative AI. Collaboration with leading technology partners in cloud computing, AI, and automation. Access to training, certifications, and interdisciplinary project work.

hawk seeks a Senior Generative AI Engineer based in Munich. This role centers on bringing new AI technologies into the company’s product line, with a focus on practical solutions for real-world challenges. Key responsibilities Collaborate with teams across hawk to design and implement generative AI features Use current AI tools and methods to enhance existing products and develop new offerings Provide technical expertise to projects aimed at solving concrete problems Role overview This position offers the chance to apply advanced AI techniques directly to product development. The work involves both improving what exists and shaping what comes next in hawk’s lineup.

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower clients to seamlessly integrate our cutting-edge coding tools throughout their software development lifecycle. As trusted technical partners, we collaborate closely with engineering teams to incorporate Codex into their workflows. Our diverse clientele ranges from agile digital-native startups to large-scale global enterprises, and together, we enhance their software planning, building, and delivery processes.Role OverviewWe are on the lookout for an innovative and technically adept AI Deployment Engineer who is an enthusiastic user of AI coding tools and is driven to elevate developer productivity. In this role, you will work hand-in-hand with engineering leaders and practitioners to design, validate, and scale sophisticated AI workflows, employing Codex to prototype and create demonstrations, integrations, and automations that our customers will adopt.This cross-functional position merges technical architecture, product strategy, and customer engagement. You will collaborate with Sales, Solutions Engineering, Product, Applied Engineering, and the larger Codex team to represent customer needs, influence product direction, and expedite the successful implementation of intelligent coding systems across influential organizations globally.Key ResponsibilitiesAct as the primary technical expert on OpenAI Codex for a select group of customers, deeply embedding yourself to empower their engineering teams and enhance coding workflows.Collaborate closely with customers to design and execute AI-enhanced development workflows, from rapid prototyping to scalable production implementations.Create high-quality demos, reference implementations, and workflow automations, using Codex as an integral part of your development process.Facilitate large-scale workshops, technical deep dives, and practical enablement sessions that help engineering organizations effectively and safely adopt AI coding tools.Contribute technical resources, including examples, guides, patterns, and best practices, to the OpenAI Cookbook, aiding the wider developer community in leveraging Codex.Collect detailed product feedback from real customer deployments to translate into actionable product proposals and insights for internal teams.Shape customer strategy and influence decision-making by elucidating the role of AI coding tools in their software development lifecycle.

JOIN US IN TRANSFORMING EDUCATIONBecome part of our mission to create the leading AI learning companion for 1 billion students worldwide.At Knowunity, we envision a future where quality education is accessible, enjoyable, and beneficial for every student across the globe. Founded in 2020 straight out of high school, we are dedicated to redefining the learning experience for students.Our innovative AI learning companion is already utilized by millions of students each week. Recently, we secured €27 million in funding—the largest education investment in Europe in the past three years. The AI learning sector is at a pivotal moment, enabling unprecedented personalization at scale, and we are determined to establish the first AI learning unicorn in this domain.Join our talented team of 60 passionate builders, committed to serving 1 billion students globally. If we realize our product vision, you will contribute to creating something transformative that will redefine education as we know it.Seize the opportunity to be part of a generational company.YOUR ROLEYou will have the chance to shape the future of student learning. Engineering is the heartbeat of our organization; it drives Knowunity's vision. You will take ownership of this educational revolution, focusing on:Innovative video content creation at scale with true personalization.Developing predictive models for topics to provide tailored guidance and personalization, tapping into the vast potential of AI.Creating diverse and guided learning practices to modernize the approach to student engagement.Implementing multi-modal outputs, moving beyond text-heavy formats to interactive cards, graphs, and practice elements.Understanding the learning styles of Generation Alpha and adapting our solutions accordingly.Exploring how AI companions can foster social learning and community among students.Quickly deploying A/B tests to millions of users to refine our offerings.YOUR IMPACT:Lead the end-to-end development of AI products that deliver tangible value to students across our extensive user base.

About the RoleJoin OpenAI as a Partner AI Deployment Engineer (P-ADE) and play a pivotal role in driving technical execution with our partners throughout EMEA. Your main objective will be to facilitate the scaling of customer deployments leveraging the robust OpenAI platform. This position encompasses a diverse array of customer use cases, focusing on the design, implementation, and enhancement of production-grade AI solutions delivered via our partners.In this position, you will collaborate closely with partner delivery teams, Solutions Engineers (SEs), Forward Deployed Engineers (FDEs), and fellow ADEs to guide customer projects from initial design stages to stable, scalable production environments. Your contributions will expedite the realization of value, mitigate delivery risks, and ensure all solutions adhere to OpenAI’s stringent standards for quality, safety, and reliability. Engage with Go-To-Market (GTM), Applied, and Research teams to foster partner-driven enterprise adoption.This position is available in either Paris or Munich, utilizing a hybrid work model of three in-office days each week, with relocation assistance provided for new team members.Your Responsibilities:Serve as the primary technical delivery partner for OpenAI's partners across EMEA, facilitating customer deployments across various industries and use cases.Partner with delivery teams and customer stakeholders to transform solution designs into deployable, production-ready architectures on the OpenAI platform.Enhance customer time to value through hands-on prototyping, integration support, architectural guidance, and troubleshooting during critical delivery phases.Work collaboratively with SEs, FDEs, and other ADEs to ensure appropriate technical expertise is engaged throughout the design and production rollout phases.Assist partners in operationalizing solutions, addressing scalability, reliability, security, and safety considerations essential for enterprise production environments.Contribute to the development of reusable deployment patterns, reference architectures, and delivery guidelines that promote efficient execution across partner engagements.Act as a technical quality and governance checkpoint during deployments, ensuring solutions meet OpenAI’s standards and best practices pre- and post-launch.Gather and synthesize feedback from real-world customer deployments, sharing insights with Applied, Research, and partner teams to refine delivery playbooks and enhance platform capabilities.Ideal Candidate:Possess a minimum of 8 years of relevant experience in technology deployment, engineering, or a related field.

Join our innovative team as an Agentic AI Software Engineer. We are seeking a talented and driven individual who possesses a strong foundation in software engineering, complemented by practical experience with cutting-edge AI technologies. Your role will involve partnering with clients to design and implement sophisticated, production-ready systems that utilize LLMs, autonomous agents, and scalable cloud infrastructure.Key Responsibilities:Architect, develop, and deploy scalable, production-grade applications on leading cloud platforms such as AWS, GCP, or Azure.Create and manage agentic AI frameworks, incorporating multi-step workflows, tool integrations, and autonomous decision-making capabilities.Oversee the complete lifecycle of AI feature implementation, from proof of concept to full-scale deployment.Develop high-performance APIs and backend services for AI applications using technologies like FastAPI, Flask, or Spring Boot.Integrate generative AI solutions, including LLMs, vector databases, and RAG pipelines, into enterprise environments.Design and implement robust orchestration and retrieval mechanisms for scalable AI applications.Establish and maintain MLOps/LLMOps pipelines and CI/CD workflows for seamless integration, evaluation, and deployment.Ensure software quality through rigorous testing, monitoring, observability, and performance tuning.Collaborate effectively with clients and cross-functional teams to gather requirements and deliver impactful AI solutions.

Who We Are Helsing is a pioneering defense AI company dedicated to safeguarding our democracies. Our mission is to attain technological leadership, ensuring that open societies can make sovereign decisions and uphold their ethical standards. As participants in democratic societies, we recognize our unique responsibility to thoughtfully navigate the development and deployment of powerful technologies such as AI. We take this responsibility with utmost seriousness. We are a dedicated team of engineers, AI specialists, and client-facing program managers seeking mission-driven individuals to join our European teams and leverage their skills to tackle some of the most complex and impactful challenges. Our culture embraces transparency and open dialogue regarding the use of technology in defense, its advantages, and its ethical considerations. The Role As a Deployed AI Engineer, you will play a crucial role in ensuring that software makes a significant impact. You will be responsible for integrating cutting-edge software into complex systems, defining and executing the end-to-end process to deliver innovative capabilities in some of the most demanding environments. For instance, you will work closely with customer avionics engineers to comprehend the data structures and APIs utilized in aircraft mission control systems. Your contributions will be instrumental in enhancing our operational effectiveness.

About Our TeamAt OpenAI, our AI Success Engineer team collaborates with some of the most forward-thinking organizations globally to transform cutting-edge AI technologies into substantial business outcomes. We support our clients from initial deployment through to comprehensive enterprise adoption. Our work encompasses technical integration, workflow transformation, and ongoing program and product delivery.Our diverse clientele includes rapidly growing digital native companies, major global enterprises, government agencies, and educational institutions. Each engagement presents a unique chance to influence how AI enhances productivity, innovation, and the future of work. This role is pivotal to our mission.About the RoleAs an AI Success Engineer, you will serve as the primary post-sales contact for OpenAI's key customers. Your responsibilities include driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value through OpenAI’s platform.This position blends technical leadership, program management, customer advisory, and product influence. You will collaborate closely with customer teams, analyze workflows, lead configuration and enablement efforts, manage deployment strategies, and guide customers towards impactful use cases that highlight the full potential of our platform.Collaboration with Sales, Solutions Architecture, Product, and Research teams will be crucial to ensuring a seamless and successful customer experience at every interaction. Success in this role will be defined by accelerated adoption, increased customer engagement depth, navigating strategic use cases into production, and assisting customers in demonstrating tangible business impact.This position is based in our Munich office, utilizing a hybrid work model (3 days/week in the office) and we offer relocation assistance for new hires.Your Responsibilities:Cultivate and maintain the technical relationship with post-sale customers, acting as their trusted advisor for deployment, adoption, and value realization.Manage account health, adoption rates, and ongoing technical success across your portfolio.Facilitate technical enablement and configuration sessions across our extensive product suite.Identify and validate use cases by integrating with customer teams to comprehend workflows and challenges.Lead coordination across multiple workstreams at the account level, including new product activations, change management, and customer readiness.

Join avomind as an AI Engineer Consultant, where you will leverage your expertise in artificial intelligence to drive innovative solutions. Collaborate with a dynamic team to develop and implement cutting-edge AI technologies that enhance business processes and improve decision-making. Your role will involve analyzing complex data sets, designing AI models, and providing strategic insights to clients.

Mendix builds a low-code application development platform used by organizations worldwide to launch new ideas quickly. Since joining Siemens in 2018, Mendix has blended the scale of a global software company with the flexibility of a fast-growing team. The Solutions Engineer - Core AI position is available in several cities: London, Rotterdam, Amsterdam, Munich, Berlin, Erlangen, Frankfurt, or Stuttgart. This role centers on developing and scaling hybrid agentic workforces by combining low-code tools, AI, data, and system integrations. The goal is to help organizations efficiently create and orchestrate agents and applications. What you will do Design and build customer-facing prototypes and lighthouse projects to test and validate AI-driven integration scenarios. Lead strategic workshops and technical sessions with both customers and internal teams, focusing on agentic AI workflows and advanced integrations. Transform successful customer projects into reusable assets, such as reference architectures, blueprints, accelerators, and scalable patterns. Act as the technical lead for agentic system design, guiding tool selection, orchestration, and multi-agent strategies. Develop and manage complex integration architectures to ensure smooth operation across diverse platforms.

Machine Learning Reply in Munich is looking for DevOps/ML Engineers (m/f/d) to join projects focused on machine learning and data processing. The team supports clients from a range of industries and values candidates with a solid technical background. Both experienced engineers and those early in their DevOps or ML careers are encouraged to apply. Key responsibilities Design technical solutions for data-driven applications, with a focus on machine learning and AI systems. Deploy and manage these solutions on cloud platforms such as AWS, Azure, and GCP, as well as on-premises environments. Automate operational workflows using DevOps and MLOps practices to accelerate project delivery. Set up and maintain monitoring, failover, and recovery processes to ensure reliability and regulatory compliance for ML solutions. Work closely with clients and stakeholders to translate business needs into production-ready systems. Collaborate with enterprise architects, analysts, data scientists, and data engineers to develop data warehouses, data lakes, and data platforms. What to expect Project assignments across sectors including Banking, Insurance, Automotive, and Retail. Skill development through interdisciplinary teamwork and training in data engineering, cloud architecture, and data science. Collaboration with leading partners in cloud computing, business intelligence, and AutoML. A social program featuring training sessions, conferences, team-building events, community practices, and hackathons. Flat hierarchies and a strong knowledge-sharing culture within Reply. An award-winning office in central Munich, near the “Stammstrecke”. Location This position is based in Munich, Bayern, Germany.

WHO WE AREAt Proxima Fusion, we are on a mission to revolutionize the future of sustainable energy. Our innovative approach, anchored in the cutting-edge W7-X stellarator, along with the latest technological advancements, is setting the stage for commercially viable fusion power plants.Our efforts in stellarator optimization, fueled by state-of-the-art computation and machine learning, are pushing the boundaries of fusion technology. We are unlocking new high-performance design points through high-temperature superconducting magnets.To seize this monumental opportunity, we are assembling a team of highly dedicated and passionate individuals who are committed to driving extraordinary change and radically transforming technology on a global scale.WHY JOIN PROXIMA FUSIONTackle some of the most intricate technological challenges to deliver abundant, safe, and clean energy worldwide.Collaborate with a remarkable group of accomplished and driven professionals.Experience the fulfillment of doing your best work while enjoying the journey.Demonstrate that significant advancements are achievable in Europe by uniting top talent.YOUR IMPACTAs a Junior AI Solutions Engineer, you will become an integral part of our Enterprise AI team, enhancing Proxima Fusion’s operational and technical workflows. You will play a pivotal role in identifying, designing, and deploying AI-driven automations that streamline processes across the organization. This position is ideal for a creator who flourishes in an agile environment and is eager to leverage the latest AI technologies to address real-world challenges at a rapid pace.WHAT YOU WILL DODesign and implement advanced automation architectures utilizing tools such as n8n, LangGraph, and Python, embedding LLM capabilities into the core of Proxima’s business and technical operations.Integrate AI workflows with existing data sources and tools, including Google Drive, Slack, project management software, and meeting infrastructure.Deploy and manage AI-driven microservices on Google Cloud Platform (GCP), utilizing Cloud Run, Vertex AI, and Vector Databases.Develop and optimize agentic workflows that incorporate REST APIs, MCP (Model Context Protocol), and multi-modal Generative AI.

Join Mercura as an AI/LLM Engineering Intern!At Mercura, we are pioneering AI software that serves as the backbone of our economy. Supported by Y Combinator, we have successfully completed a significantly oversubscribed funding round, achieving one of the highest valuations in our cohort. As one of the fastest-growing startups in Europe, we proudly exceeded $2M in ARR within our first year. We are now on a mission to reach $10M ARR by the end of 2026 and are looking for dedicated team members who are ready to dive deep into this exciting journey.Our co-founder, Lukas, hails from a family with over 115 years of experience in the construction industry. Having worked on-site himself, he understands the persistent challenges in the industry, especially the slow and manual quoting processes. In an age where AI is becoming integral to industries, we are committed to enhancing human expertise and empowering individuals to focus on what only they can do.About the RoleAs an AI/LLM Engineering Intern, you will be instrumental in developing agentic AI systems from concept to deployment. This dynamic and hands-on position is ideal for engineers who possess a strong technical foundation, a proactive mindset, and a passion for innovation. You will be involved in creating robust AI systems that are production-ready—from retrieval and LLM orchestration to tool-using agents and seamless product integration.We hold our interns to the same standards as our full-time employees, entrusting them with ownership of projects and ensuring they are individuals we would want to collaborate with in the long term.If you are a passionate builder who thrives at the intersection of LLMs, data systems, AI, data engineering, and full-stack development, this is an incredible opportunity to influence how users engage with AI in practical workflows.Your ResponsibilitiesAgentic Systems: Design and develop LLM-powered agentic systems from experimentation to production deployment.Retrieval & Context: Create retrieval and context pipelines (RAG, hybrid search, structured retrieval) to facilitate reliable reasoning over vast amounts of technical and business data.AI Evaluations: Build evaluation and monitoring systems to assess and enhance AI performance in an operational environment.Data Pipelines: Construct scalable pipelines for processing and structuring large volumes of unstructured documents and data.

Join SE3 Labs as a Founding Engineer in 3D Computer Vision & AIAt SE3 Labs, we are pioneers in Spatial AI, integrating cutting-edge 3D computer vision with large language models (LLMs) to revolutionize how machines perceive and interact with their environments. Our goal is to achieve a level of AI that can surpass the spatial Turing test, enabling it to respond to inquiries about 3D data with the proficiency of a human analyst. This groundbreaking technology will offer immense benefits across sectors such as construction, smart infrastructure, smart factories, and defense. We envision our Spatial AI as a vital component in the development of LLM-controlled humanoid robots.Our team comprises seasoned computer vision experts and successful entrepreneurs, including individuals who have collaborated with Elon Musk at Tesla, as well as professionals from Nvidia, KPMG, Bosch, and Artisense. Our president, Daniel, leads the European Computer Vision Association.In just our first year, we have achieved mid-six-digit revenues, with a target of reaching seven digits by 2025.We operate as a dual-use technology company, catering to both civil clients and the German armed forces, with plans for international expansion in the next six months.Recently, we successfully completed a heavily oversubscribed financing round backed by top-tier European venture capitalists (Midas List Europe) and esteemed angel investors, including unicorn founders and a Princeton professor. We are also part of EWOR.About the RoleAs a Founding Engineer specializing in 3D Computer Vision and AI, you will collaborate directly with our CEO Lukas and CTO Simon to forge an AI-first perception and robotics enterprise, akin to Tesla's Autopilot Team.Potential ResponsibilitiesDesign and train innovative neural network architectures.Enhance network performance for deployment on Nvidia Jetsons.Develop our data processing engine utilizing both local and cloud computing resources.Integrate existing LLMs with 3D computer vision to advance SpatialGPT.Fine-tune LLMs for optimal efficiency in 3D tasks.Implement networks into real-time systems for drone applications.Desired QualificationsSolid foundation in software engineering principles.Theoretical and hands-on experience with deep learning methodologies.Theoretical and practical expertise in 3D computer vision techniques.

Job ResponsibilitiesAs a Generative AI Engineer (m/w/d), you will independently develop and implement Generative AI models, (Multi-)agent-based LLM applications, and AI-driven solutions tailored to our clients' specific needs. This involves identifying and analyzing challenges within the context of AI and generative models.You will create and maintain AI pipelines, APIs, and interactive applications, working with components such as Large Language Models, multimodal models, Knowledge Graphs, and AI-supported products.Your role will also include working on complex AI projects, analyzing business applications for generative AI, and translating them into technical solutions.Utilizing your communication skills, you will collaborate closely with our clients to analyze their challenges in the context of GenAI and present the outcomes in an understandable manner.You will work across various technology stacks, including Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks, and cloud infrastructure.Acting as a mentor for junior colleagues in the field of AI, you will facilitate knowledge transfer within the team.You will benefit from our team's learning resources, hackathons, and various opportunities to advance your technical development in Generative AI and maintain a presence in the community.BenefitsRegular and systematic training opportunities in Generative AI, LLM development, and cloud architecture.Access to cross-industry projects, such as banking, insurance, automotive, and retail.Collaborations with leading partners in cloud, AI/ML, and AutoML, along with access to enterprise versions of leading LLMs.Work in an open, flat environment within a broad Reply network for knowledge exchange.

At Tenstorrent, we are at the forefront of innovative AI technology, transforming performance standards, user experience, and cost-effectiveness. As AI reshapes the computing landscape, our solutions must adapt to integrate advancements in software models, compilers, platforms, networking, and semiconductor technologies. Our talented technologists have engineered a high-performance RISC-V CPU from the ground up, united by a passion for AI and a commitment to creating the finest AI platform available. We prioritize collaboration, curiosity, and a dedication to solving complex challenges. As we expand our team, we invite contributors at all experience levels to join us.As an integral part of our European expansion and a vital liaison between our customers and engineering teams, you will play a crucial role in deploying Tenstorrent's AI solutions throughout the EMEA region. This unique, customer-facing technical position merges systems engineering expertise across hardware, software, and firmware with leadership in customer success. You will act as a trusted technical advisor to our enterprise clients across Europe, the Middle East, and Africa, assisting them in the successful deployment and optimization of Tenstorrent Galaxy servers and AI infrastructure.This position is remote, with a base in Munich, Germany, and will require regular travel within the EMEA region (30-40%) to facilitate customer deployments and foster collaboration with regional teams.We welcome applicants of all experience levels for this role. During the interview process, candidates will be evaluated for the appropriate level, and offers will correspond to that level, which may differ from what is stated in this posting.

Role overview QIMA seeks an AI Engineer to join its remote team. This role centers on developing and improving artificial intelligence solutions that drive QIMA’s products. Work alongside experienced colleagues dedicated to advancing AI algorithms and models. What you will do Design, build, and optimize AI models and algorithms for QIMA’s services Work closely with team members to integrate AI features into both existing and new products Share ideas and technical knowledge to help strengthen product quality and performance Location This position is fully remote. While the role is based in Munich, candidates can work from any location.

Join the Mercura TeamAt Mercura, we are pioneering AI solutions that serve as the backbone of our economy.Supported by Y Combinator, we have successfully raised a significantly oversubscribed funding round, achieving one of the highest valuations in our cohort. As one of Europe’s rapidly expanding startups, we achieved $2 million in ARR within our inaugural year, and we are now on a mission to reach $10 million ARR by the close of 2026.Our co-founder, Lukas, hails from a family deeply rooted in the construction industry for over 115 years. Having firsthand experience on construction sites, he witnessed the slow and manual quoting processes prevalent in the industry.In a world increasingly driven by AI, we are committed to a personal mission: to integrate AI into the core of our economy, empowering the companies that keep our world functioning. We aim to enhance human expertise and allow individuals to focus on endeavors that only humans can accomplish.Your RoleAs an AI/LLM Engineer, you will be instrumental in developing end-to-end agentic AI systems. This dynamic and hands-on position is ideal for engineers who thrive on autonomy, possess robust technical skills, and embody a founder's mindset. You will be responsible for creating dependable AI systems for production, encompassing retrieval and LLM orchestration, tool-using agents, and product integration.If you are a dedicated innovator who excels at the intersection of LLMs, data systems, AI, data engineering, and full-stack development, this is your chance to influence user interaction with AI in practical workflows.Key ResponsibilitiesAgentic Systems: Design and implement LLM-powered agentic systems from experimentation through to production deployment.Retrieval & Context: Develop retrieval and context pipelines (RAG, hybrid search, structured retrieval) to facilitate reliable reasoning over extensive technical and commercial data.AI Evaluations: Create evaluation and monitoring systems to assess and enhance AI performance in production.Data Pipelines: Construct scalable pipelines to process and organize large amounts of unstructured documents and data.Feedback Mechanisms: Implement automated feedback systems that enable AI to learn from usage data and human insights.AI Infrastructure: Oversee the architecture and reliability of AI infrastructure.