Cloud Security Engineer – Azure

MissionAt Neko Health, our goal is to transform healthcare from a focus on treatment to a focus on prevention. We utilize cutting-edge, non-invasive technology combined with clinical expertise to provide early, actionable health insights.Role PurposeAs a Cloud Security Engineer at Neko Health, you will significantly contribute to safeguarding our Azure envir…

Enpal is working to build Europe's largest renewable energy community. The company offers rental services for solar systems, electricity storage, wall boxes, and smart meters, all managed through the Enpal One+ platform. With a focus on digital, decentralized, and fully renewable solutions, Enpal aims to scale quickly and address climate change head-on. Role Overview The Senior Cloud Security Engineer joins the CISO organization in Berlin (Design Office). This role focuses on translating ISO 27001, NIS2, and KRITIS requirements into practical steps, assessing systems, identifying compliance gaps, collecting evidence, and ensuring issues are resolved. The work spans Enpal's entire technology stack, including cloud infrastructure, identity management, endpoints, applications, and various platforms. This is a hands-on position. The engineer will collaborate with IT and CTO teams, review configurations, challenge architectural choices, and use AI tools to improve efficiency. The role is deeply involved in implementation, not just governance. Enpal values agility and offers opportunities for career growth. Security, engineering, and product teams work closely to support the mission of making solar energy accessible and sustainable. The Senior Cloud Security Engineer will help build the compliance framework that keeps Enpal resilient and trusted. What You Will Do Create Secure Solutions: Deliver incremental improvements with each iteration, focusing on user experience and climate goals. Apply Shift-Left and Zero-Trust principles across all units. Translate Regulations into Action: Break down ISO 27001, NIS2/BSIG, and KRITIS requirements into prioritized tasks. Develop solutions or coordinate with CTO and IT teams to implement them. Evaluate Technology Stack for Compliance: Conduct hands-on assessments of Azure, Entra ID, M365, Intune, Defender XDR, AKS, Terraform, CI/CD pipelines, Datawarehouse, and other platforms. Identify where current practices differ from regulatory standards. Build Resilience Against Threats: Strengthen Enpal's ability to mitigate and respond to security threats, keeping systems secure and reliable.

Aiven is hiring an Engineering Manager to guide the Observability team in Berlin. This position centers on improving the visibility and monitoring of systems, directly impacting reliability and performance for clients. Role overview Lead the Observability team, setting direction and priorities for how Aiven monitors and understands its systems. Oversee the development and rollout of observability solutions that help maintain high service quality. Leadership responsibilities Foster a culture focused on innovation and high standards within the team Work closely with other teams to define observability best practices Shape the strategic approach to monitoring and system insights across the company Collaboration This role involves regular collaboration with cross-functional groups to ensure observability initiatives align with broader engineering goals and client needs.

About Nucs AINucs AI is transforming cancer care through innovative artificial intelligence and medical imaging technologies. Founded in 2024 by a diverse team of oncologists, AI experts, and healthcare pioneers, we address the urgent need for precise and timely cancer diagnostics amidst increasing scan volumes and a shortage of radiologists.Positioned at the intersection of diagnostics and treatment planning, we develop AI-driven tools that integrate medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer, we aim to broaden our impact across oncology, collaborating with top medical institutions and pharmaceutical partners in the US, Europe, and Australia to integrate precision oncology into everyday clinical practice.Our mission is to elevate diagnostic accuracy and broaden access to expert-level cancer care, thereby enhancing patient outcomes globally. As a venture-backed startup in its early stages, we are assembling a team that combines profound clinical expertise with engineering excellence, navigating the rigorous demands of the medical field with the agility required to tackle pressing challenges.The OpportunityIn this pivotal role, you will oversee the platform engineering domain at Nucs AI, encompassing architecture, delivery, team leadership, and cross-functional collaboration. You will make critical architectural decisions, grow and mentor the platform team, and ensure our clinical AI platform scales effectively across various modalities, devices, and integration partners.Working closely with the CTO, you will share responsibility for technical direction and possess authority over platform architecture, engineering practices, and delivery. This role empowers you to shape the evolution of the platform, aligning it with a dynamic product and clinical roadmap.Join a high-caliber engineering team in an early-stage environment, recognizing the unique opportunity this presents.What You’ll DoEngineering Culture & Team LeadershipCultivate and guide an engineering culture founded on clarity, trust, and technical excellence.Manage a diverse team of backend, frontend, DevOps, and QA engineers; foster career development and promote autonomy.Lead recruitment efforts: define roles, conduct structured interviews, and build a high-performing team.

At Intercom, we are revolutionizing customer service through the power of AI. Our mission is to enable businesses to deliver outstanding customer experiences, and we are seeking talented individuals to help us achieve this goal.Our flagship AI agent, Fin, stands out as the most sophisticated customer service AI available, ensuring businesses can offer seamless, around-the-clock support that enhances customer interactions. By integrating Fin with our Helpdesk, we create the Intercom Customer Service Suite, which provides AI-driven assistance for complex queries that necessitate human intervention.Since our inception in 2011, Intercom has grown to serve nearly 30,000 businesses worldwide, setting new benchmarks in customer service excellence. Guided by our core values, we constantly strive for innovation, speed, and delivering exceptional value to our clients.Berlin’s unique blend of technical expertise and vibrant creative culture makes it an ideal location for our expansion. We are excited to tap into the city’s talent pool while remaining connected to our R&D centers in Dublin and London. We aim to recruit 100 new team members in Berlin this year across engineering, AI, data science, product, and design, making this a pivotal moment to join us as we build the world’s leading customer agent.What’s the Opportunity?We are looking for Senior Product Engineers to join our AI Group and contribute to the development of our AI-powered products. As a Product Engineer in machine learning, you will collaborate closely with our ML Scientists and product teams, gaining an in-depth understanding of our products, customers, ML tech stack, and overall product offerings.Your responsibilities will include defining new ML features, exploring suitable algorithms and technologies, and swiftly delivering prototypes to our customers. Our highly focused team works in close partnership with Product and Design, allowing us to move quickly to production and often launch beta versions only weeks after successful testing.We are passionate about leveraging machine learning technology, having transformed various models—from classic supervised to innovative unsupervised clustering and advanced applications of transformer neural networks. We rigorously test and assess the tangible customer impact of each model we deploy.If you are an experienced product engineer eager to make a significant impact, we encourage you to apply!

At Intercom, we revolutionize customer service with our cutting-edge AI technology. Our mission is to empower businesses to deliver exceptional customer experiences.Our AI agent, Fin, stands as the most sophisticated customer service AI on the market, enabling businesses to provide round-the-clock, flawless service. Fin integrates seamlessly with our Helpdesk, forming the comprehensive Intercom Customer Service Suite, designed to enhance support for complex inquiries that necessitate human intervention.Since our inception in 2011, we have gained the trust of nearly 30,000 businesses globally, establishing a new benchmark in customer service. Our core values drive us to innovate, operate with urgency, and consistently provide exceptional value to our clients.We are excited to build our presence in Berlin, a city known for its unique mix of top-tier technical talent and vibrant creative culture. This dynamic, globally connected metropolis is conveniently located near our R&D facilities in Dublin and London, making it an ideal hub for ambitious product development.This year, we aim to recruit 100 talented individuals in Berlin across various domains, including engineering, AI, data science, product management, and design. This is an extraordinary opportunity to join us as we lay the groundwork for our R&D efforts in the region and make a significant impact as we develop the leading customer service AI!What’s the opportunity?We are in search of Senior Product Engineers to become part of our AI Infrastructure team, dedicated to building AI-driven products at Intercom. As a Product Engineer in AI Infrastructure, you will collaborate closely with ML engineers and ML scientists to thoroughly understand our products and tech stack, and identify ways to expedite our development processes.The broader AI team is responsible for conceptualizing new ML features, exploring effective algorithms and technologies, and swiftly deploying prototypes for our customers.Our AI infrastructure is designed to adapt rapidly to new advancements in AI, ensuring that our engineers can deliver high-quality services promptly while maintaining the safety and reliability of our systems.We are passionate about leveraging machine learning technology, from classic supervised models to innovative unsupervised clustering algorithms, and pioneering new applications.

Ecosia is seeking a Senior Platform Engineer – Developer Experience to join our innovative team, either remotely or at our Berlin office.Our mission is to empower engineers to deliver software efficiently, securely, and intelligently. As part of a dedicated team, you'll collaborate closely with our cloud infrastructure team to ensure that developer experience initiatives align seamlessly with operational reliability and platform stability.In this senior role, you will spearhead initiatives that enhance developer workflows, design and implement dependable CI/CD pipelines, advocate for testing best practices, and investigate new methodologies for AI-assisted development and workflows across our organization.Your contributions will significantly influence engineering efficiency, software quality, and overall developer experience while promoting operational excellence and a collaborative, inclusive culture. By enabling engineers to deploy software more swiftly and reliably, you'll be supporting Ecosia’s mission to drive climate action globally.Your Chance to Make an ImpactIn this role, you will effectuate changes that enhance product development and developer experience, facilitating engineers in the rapid delivery of high-quality software while helping to shape our working environment:Design and maintain CI/CD pipelines that are robust, scalable, and user-friendly for teams.Enhance developer workflows encompassing pull requests, local development, templates, and established paths to streamline engineering processes.Establish and uphold testing frameworks and quality gates to ensure software is resilient, maintainable, and dependable.Investigate and implement AI-assisted development and automation to alleviate repetitive tasks and optimize workflows.Engage with engineering teams to adopt best practices and platform tools, ensuring alignment with business objectives.Mentor colleagues and advocate for platform standards, fostering growth among engineers and enhancing the developer experience organization-wide.You will be addressing questions such as:How can we ensure CI/CD pipelines are reliable, scalable, and user-friendly?How can we optimize developer workflows to boost productivity?

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.

Enpal is building Europe’s largest renewable energy community. The company’s products include rental solar systems, electricity storage, wall boxes, and smart meters, all managed through the AI-powered Enpal One+ platform. Enpal’s mission: make clean, decentralized energy accessible and reliable. Role Overview The Cloud Security & Compliance Engineering Lead joins the CISO organization at Enpal. This role takes ownership of translating ISO 27001, NIS2, and KRITIS requirements into practical, prioritized tasks. Day-to-day work includes assessing existing systems, pinpointing gaps, collecting evidence, and ensuring remediation steps are followed through to completion. This is a hands-on position with direct involvement in implementation, not just governance. The role covers the full Enpal technology stack: cloud infrastructure, identity management, endpoints, applications, and a range of platforms. Collaboration is key, expect to work closely with IT engineers and the CTO center, reviewing configurations, challenging architectural choices, and using AI tools to streamline processes. Enpal offers a setting defined by agility and rapid growth, with strong opportunities for career progression. Security, engineering, and product teams work side by side to make sustainable solar energy available to more people. This role helps build the compliance foundation that keeps Enpal secure and trusted as it scales. Main Responsibilities Develop secure solutions: Deliver incremental improvements in every iteration, focusing on user experience and climate impact. Apply Shift-Left and Zero-Trust principles throughout all teams. Translate regulations into action: Break down ISO 27001, NIS2/BSIG, and KRITIS requirements into concrete, prioritized tasks. Develop solutions directly or partner with CTO and IT teams for implementation. Evaluate the technology stack for compliance: Take a hands-on approach across platforms such as Azure, Entra ID, M365, Intune, Defender XDR, AKS, Terraform, CI/CD pipelines, and Datawarehouse. Identify where current practices fall short of requirements and drive improvements. Location Berlin, Germany – Design Office

About Anthropic Anthropic builds AI systems with a focus on dependability, interpretability, and control. The team brings together researchers, engineers, policy experts, and business leaders who share a commitment to making AI safe and beneficial for society. Role Overview: Engineering Manager, Cloud Inference (AWS) This Berlin-based role leads the Cloud Inference team responsible for Claude on AWS. The Engineering Manager guides the team in scaling and optimizing Claude for a broad developer and enterprise audience using AWS. This position owns the full product lifecycle of Claude on AWS, including API management, load balancing, inference, capacity, and operations. The team ensures Anthropic’s large language models meet strict performance, safety, and security standards. Efforts focus on strengthening infrastructure for packaging, testing, and deploying inference technology worldwide. The work directly supports Anthropic’s ability to deliver new models and features to customers across platforms. What You Will Do Set technical strategy and oversee development for Claude on AWS, covering all layers of the stack. Collaborate across teams to understand product, infrastructure, operations, and capacity needs, and identify solutions for serving advanced LLMs. Work with cross-functional partners to align goals and drive outcomes. Provide clarity and direction for the team and stakeholders, especially when circumstances change or details are uncertain. Recruit and coach technical talent, building an inclusive, high-performing team. Design and implement processes such as postmortems, incident response, and on-call rotations to help the team learn and operate efficiently. What We’re Looking For More than 10 years in high-scale, high-reliability software development, with a focus on infrastructure or capacity management. At least 5 years of experience managing engineering teams. Background in recruiting, scaling, and retaining engineers in a growing organization. Experience scaling products, resources, and operations to support rapid growth. Strong interest in advanced AI systems and a commitment to their safe development.

About Tide Tide supports small and medium-sized enterprises (SMEs) by helping them streamline operations and cut costs. The platform goes beyond business accounts and banking services, offering a full range of administrative tools for tasks like invoicing and accounting. With more than 1.8 million members in the UK, India, Germany, and France, Tide is reshaping how small businesses manage their finances. The company builds technology-driven solutions tailored for SMEs, focusing on fast onboarding, low fees, and features designed to save time and money. Data guides every decision at Tide, with the goal of letting SMEs concentrate on their core work while the platform handles the rest.

Unleash the power of AI orchestration.At n8n, we are pioneering an open workflow orchestration platform designed for the AI-driven future. Our mission is to empower technical teams with the flexibility of code combined with the simplicity of no-code, allowing them to automate processes quickly and efficiently. Supported by a dynamic community and over 500 builder-approved integrations, we are redefining how systems interact and ideas are scaled for maximum impact.Since our launch in 2019, we have expanded into a vibrant team of over 220 professionals across Europe and the US, united by a spirit of innovation that originates in Berlin. Our achievements include:Building a community of over 650,000 active developers and builders.Gaining over 145,000 stars on GitHub, placing us among the world’s Top 40 projects.Being recognized as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100).Securing $240 million in funding, from Sequoia’s first German seed to our recent $180 million Series C, achieving a valuation of $2.5 billion.We invite you to explore n8n and showcase your creativity. Whether you are technical or not, we encourage you to try out our platform and share a screenshot of your first workflow with us. Start your journey here: app.n8n.cloud/register.Join us at this exciting juncture of our journey and contribute to the future we are building. As an Engineering Manager, your primary focus will be to build and lead one of our two Core Platform teams, which are crucial for powering n8n’s workflow engine and frontend platform. Your leadership will enable product engineers to deliver confidently across both cloud and self-hosted deployments.In this role, you will guide a technically adept platform team through essential backend and frontend challenges, fostering clarity, momentum, and a commitment to exceptional engineering quality.

At Intercom, we are revolutionizing customer service with our innovative AI solutions, dedicated to helping businesses enhance their customer interactions.Our AI agent, Fin, stands as the most advanced customer service AI solution available, enabling businesses to offer unparalleled, round-the-clock support that significantly improves customer experiences. By integrating Fin with our Helpdesk, we deliver a comprehensive solution known as the Intercom Customer Service Suite, which is designed to handle complex inquiries that require a human touch.Established in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is committed to raising the bar for customer service. We are driven by our core values, which inspire us to push boundaries, innovate with urgency, and continuously provide exceptional value to our clients.What’s the Opportunity?We are seeking experienced Staff Product Engineers to join our AI Group, tasked with developing Intercom’s AI-driven products. In this role, you will collaborate closely with our ML Scientists and product teams to gain an in-depth understanding of our products, customers, and the machine learning technology stack we utilize.Our team is dedicated to defining new machine learning features, exploring suitable algorithms and technologies, and swiftly delivering initial prototypes to our customers.As a product-focused unit, we work in collaboration with the Product and Design teams to ensure we deliver the best possible AI-enhanced product experiences. Our engineers are instrumental in facilitating rapid production, often transitioning to beta releases within weeks following successful offline tests.We are passionate about leveraging machine learning technologies, and our projects range from classic supervised models to cutting-edge unsupervised clustering algorithms, and innovative applications of transformer neural networks. We rigorously test and measure the genuine impact of each model we deploy on our customers.If you are an accomplished product engineer with a strong analytical mindset and hands-on experience with machine learning systems, we would love to connect with you!

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++.

Join Our TeamBecome an integral member of SumUp's Mobile Platform Squad as a Senior Android Engineer and play a pivotal role in our growing Android ecosystem. With substantial investments directed towards flagship products, we empower our feature teams to create world-class user experiences. Your contributions will be key in establishing a solid foundation that enables over 40 Android engineers to work at peak productivity and efficiency, directly influencing the future of mobile payments for millions of merchants.Our engineering culture emphasizes autonomy, collaboration, and innovative thinking. Your initiatives will resonate throughout the organization, connecting you with mobile engineers across various teams. This role is vital for:Removing Bottlenecks: Proactively identifying and resolving critical bottlenecks in CI/CD pipelines and app infrastructure that could hinder the rollout of new features and enhancements.Enhancing Developer Experience: Designing and implementing state-of-the-art tools and infrastructure that significantly improve developer experience, decrease build times, and streamline workflows for our extensive Android engineering team.Modernizing a Mature Codebase: Leading the evolution and refinement of our Android codebase, with an emphasis on code simplicity, maintainability, and overall health across all SumUp Android products.Ensuring Product Stability & Scalability: Providing essential support and guidance across our diverse Android product suite, assuring consistency, reliability, and seamless functionality for the Register, Android Terminal, SumUp Go, and Merchant app.Your Responsibilities:Strategic Impact: Spearhead the development of core experiences for both merchants and our internal Android developers, directly contributing to SumUp's ambitious Android product roadmap.Technical Leadership: Architect, develop, and maintain essential tools, frameworks, and infrastructure that significantly enhance the consistency, scalability, and reliability of our mobile applications, ensuring no adverse effects across our varied Android products.Performance & Efficiency: Drive initiatives in CI/CD systems, advanced developer tooling, and performance enhancements to dramatically optimize mobile development processes and reduce build times for our expanding team.Codebase Evolution: Actively manage technical debt, enhance code health, and introduce best practices to a complex, mature codebase, ensuring its longevity and adaptability.

Join idealo’s innovative AI Booster Team, where we drive the integration of generative AI technology across the organization. Collaborate closely with product teams to create reusable AI workflows and promote industry best practices. In this role, you will be pivotal in designing and deploying scalable LLM systems and agentic workflows, transforming concepts into rapid production rollouts.About Your New RoleWork together with cross-functional teams to conceptualize, prototype, and launch LLM-driven features within weeks.Design and implement sophisticated LLM workflows and agentic systems, including multi-agent orchestration and execution flows.Assess and choose appropriate models and inference infrastructures for tasks, balancing considerations of cost, latency, quality, and safety.Create reusable AI components (e.g., advanced RAG pipelines, evaluation frameworks, model adapters) that can be scaled across various products and teams.Promote automated evaluations, human-in-the-loop assessments, and continuous feedback loops to maintain quality, reliability, and cost efficiency.Act as a technical mentor by conducting office hours, reviews, and workshops to elevate GenAI skills throughout idealo.

Role overview Forvis Mazars seeks a Senior Fullstack Engineer in Berlin with a strong focus on cloud and AI technologies. This position involves designing, developing, and implementing solutions that draw on modern cloud services and artificial intelligence. What you will do Design and build fullstack applications that connect cloud and AI technologies Collaborate with colleagues to deliver digital solutions for clients Apply technical expertise to projects supporting digital transformation Enhance client experiences by creating innovative, scalable systems Requirements Experience with both frontend and backend development Solid background in cloud platforms and AI tools Enjoys collaborative work and knowledge sharing Motivated to try new approaches and push technical boundaries This role is based in Berlin. Forvis Mazars encourages applications from all genders.

About UsAt Prior Labs, we are pioneers in developing foundation models that effectively comprehend tabular data, which serves as the cornerstone of various fields including science and business. While foundation models have revolutionized the processing of text and images, structured data remains a largely untapped resource. Our mission is to address this $600 billion opportunity, fundamentally transforming the way organizations engage with scientific, medical, financial, and business data.Our Achievements: We proudly stand as the leading organization in the realm of structured data machine learning (ML). Our groundbreaking TabPFN v2 model has been featured in Nature, establishing a new benchmark in tabular machine learning. Following its release, we have significantly enhanced our model capabilities, achieving over 2.5 million downloads and receiving more than 5,500 stars on GitHub. We are witnessing a rapid uptick in adoption from both research and industry sectors as we build the next generation of tabular foundation models and commercialize them with enterprises across Europe and the United States.Our Team: Our team consists of a highly selective group of over 20 engineers and researchers, chosen from a pool of more than 5,000 applicants. We have backgrounds from industry giants such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and receive guidance from eminent AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet our talented team here.What's Next: Supported by top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are on a rapid growth trajectory. This is an exceptional time to join us and help shape the future of structured data AI. Explore our manifesto for further insight.Core Areas of ImpactAs a member of our engineering team, you will contribute to the development of a novel class of AI models. Our latest innovation, TabPFN, significantly surpasses existing methods by orders of magnitude, and we are just getting started. This is a unique opportunity to:Engage in groundbreaking advancements in AI, rather than just incremental enhancements.Influence the future of how organizations globally manage their most critical data.Join us at an opportune moment: we have secured substantial funding (with announcements imminent), achieved strong initial traction (over 100,000 downloads), and are expanding swiftly.At Prior Labs, we prioritize collaboration and integration of research into practical applications. Our Research Engineers play a critical role in bridging the gap between innovative research and real-world implementation.

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 Almedia, where ambition meets innovation. We are not just another company; we aim to become Germany’s next bootstrapped unicorn and are already recognized as Europe’s #3 fastest-growing company (FT1000, 2025). At Almedia, we’re revolutionizing marketing by empowering a community of over 70 million users who earn rewards for engaging with top brands. This is your chance to contribute to a groundbreaking approach to user acquisition for global enterprises.MLOps EngineerAs an MLOps Engineer, you will play a pivotal role in designing, scaling, and optimizing backend systems that enable our payout automation and growth initiatives. Your expertise will help transform intricate business logic into dependable, scalable data-driven systems.This hands-on position involves active engagement in architecture, automation, and the delivery of high-performance Python systems.Key ChallengesDeveloping automated systems for payout structure generation and transformation.Creating dynamic, personalized payout algorithms based on user behavior.Building continuous split-testing infrastructure to enhance payout experimentation.Scaling high-performance Python systems integrated with real-time data and machine learning pipelines.Your ResponsibilitiesOversee the complete delivery cycle: build, deploy, and optimize backend systems and services at scale.Establish technical direction and coding standards for Python development within ML and data projects.Align technical architecture with business objectives to minimize complexity and enhance efficiency.Collaborate with ML engineers and product teams to develop frameworks for experiment versioning and evaluation.Improve system reliability and performance to ensure robustness and scalability.