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Experience Level
Senior
Qualifications
Proven experience in MLOps, AI infrastructure, or related fields. Strong understanding of machine learning workflows and feature engineering. Experience with cloud platforms and data engineering. Familiarity with automation tools and frameworks. Excellent problem-solving skills and the ability to work collaboratively.
About the job
Why Join dLocal?
dLocal empowers leading global companies to seamlessly collect payments in 40 emerging market countries. Our platform is trusted by major brands to enhance conversion rates and facilitate effortless payment expansion. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to penetrate some of the world’s fastest-growing markets.
By becoming part of our dynamic team, you will join over 1000 dedicated professionals from more than 30 countries, forging an international career that positively impacts millions of lives daily. At dLocal, we are innovators who embrace challenges, prioritize customer-centric solutions, and foster a collaborative environment. If this resonates with you, we are confident you will excel with us.
What’s the Opportunity?
As a Senior Machine Learning Operations (MLOps) & AI Infrastructure Engineer at dLocal, you will play a pivotal role in developing and managing our ML and AI platform, with a strong emphasis on Feature Store and MLOps processes.
Your responsibilities will include implementing and enhancing the tools utilized by our Data Science and AI teams to transition models and AI-driven services from concept to production. This encompasses feature pipelines, training and deployment workflows, observability, and automation.
A central aspect of your role will involve leveraging agents and AI services to automate various MLOps functions—from feature store operations to managing fraud and anomaly detection workflows, as well as optimizing ML expenses—while collaborating closely with the AI Team and MLOps Technical Referent.
About dLocal
dLocal is a pioneering fintech company that provides a seamless payment experience for global brands in emerging markets. Our mission is to simplify the complexities of payment processing, enabling businesses to thrive in new territories.
Why Join dLocal?dLocal empowers leading global companies to seamlessly collect payments in 40 emerging market countries. Our platform is trusted by major brands to enhance conversion rates and facilitate effortless payment expansion. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to penetrate some of the world’s fastest-growing markets.By becoming part of our dynamic team, you will join over 1000 dedicated professionals from more than 30 countries, forging an international career that positively impacts millions of lives daily. At dLocal, we are innovators who embrace challenges, prioritize customer-centric solutions, and foster a collaborative environment. If this resonates with you, we are confident you will excel with us.What’s the Opportunity?As a Senior Machine Learning Operations (MLOps) & AI Infrastructure Engineer at dLocal, you will play a pivotal role in developing and managing our ML and AI platform, with a strong emphasis on Feature Store and MLOps processes.Your responsibilities will include implementing and enhancing the tools utilized by our Data Science and AI teams to transition models and AI-driven services from concept to production. This encompasses feature pipelines, training and deployment workflows, observability, and automation.A central aspect of your role will involve leveraging agents and AI services to automate various MLOps functions—from feature store operations to managing fraud and anomaly detection workflows, as well as optimizing ML expenses—while collaborating closely with the AI Team and MLOps Technical Referent.
About Clarity AI Clarity AI is a pioneering global technology firm, established in 2017, dedicated to integrating social impact into the financial markets.Utilizing advanced AI and machine learning technologies, we empower international investors, governments, corporations, and individuals with essential data, methodologies, and tools for informed decision-making.Our diverse team of over 300 passionate professionals spans the globe, with offices in New York, Madrid, London, Paris, and Abu Dhabi. Together, we have positioned Clarity AI as a foremost sustainability tech firm, supported by reputable investors and partners like BlackRock, SoftBank, and Deutsche Börse, who resonate with our vision.We are committed to fostering an exceptional workplace culture, characterized by our values of fact-based decision making, diversity, transparency, meritocracy, and flexibility.As we continue our global expansion, we invite you to join us on this exciting journey where your contributions will significantly impact sustainable decisions for investors, companies, and consumers worldwide.About The Role We are seeking a Senior Machine Learning Engineer Staff with expertise in deploying and scaling Large Language Models (LLMs) and Agentic systems. In this pivotal role, you will connect the realms of machine learning experimentation and large-scale production by developing the robust, efficient platform that drives our AI initiatives.While our Data Science teams concentrate on crafting and fine-tuning cutting-edge models, you will take ownership of the platform that supports their efforts. You will establish best practices, create automated pipelines, and guarantee that our infrastructure can manage complex agentic workflows with high reliability and performance. This position is designed for a forward-thinking professional who stays ahead of the dynamic changes in the AI landscape and can swiftly adapt our technology stack to leverage emerging trends.To gain insights into the technologies utilized by the engineering team at Clarity AI, please explore our Tech Stack.What You’ll Be Doing As a Senior Machine Learning Engineer Staff, you will be responsible for:
JetBrains is seeking a Senior Machine Learning Researcher to focus on Spectrum. This position centers on applying machine learning expertise to improve product features and contribute to ongoing research efforts. Role overview This role involves working with a team dedicated to advancing the capabilities of Spectrum. The Senior Machine Learning Researcher will use their knowledge to influence product direction and participate in research projects that drive innovation. Key responsibilities Apply machine learning methods to enhance Spectrum's technology. Contribute to research initiatives that inform future product development. Share insights and provide leadership within the research team. Locations This position is available in Amsterdam, Belgrade, Berlin, Limassol, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.
Role overview dlocal is seeking a Senior AI Engineer to join its Madrid office. The focus of this position is to build and enhance artificial intelligence solutions that strengthen the company's products and services. What you will do Design, implement, and improve AI algorithms for practical use cases Collaborate with cross-functional teams to address technical challenges Support the development and optimization of dlocal's AI systems Requirements Extensive experience in artificial intelligence and machine learning Strong problem-solving skills and a track record of delivering effective solutions Interest in exploring new technologies and working collaboratively Location This role is based in Madrid.
About the Role inetum2 is hiring a Data Engineer and Machine Learning Specialist in Madrid. This position focuses on building data-driven solutions to improve industrial processes. The role involves working closely with teams across the company to implement machine learning algorithms and ensure data systems can scale as needed. What You Will Do Develop solutions that use data to optimize industrial operations Collaborate with colleagues from different disciplines on project delivery Implement machine learning models in production environments Support the scalability and reliability of data infrastructure Location This role is based in Madrid.
Join our innovative Notebooks team as a Staff Software Engineer specializing in AI/ML. At Datadog, our Notebooks are versatile tools for on-the-fly data analysis, collaborative investigations, and technical documentation. They facilitate seamless interaction between agents and users. Our team is at the forefront of developing AI-enhanced workflows for natural language data analysis, automated graph generation, and in-depth investigations. In this role, you will serve as a technical leader, dedicated to creating cutting-edge AI-powered functionalities. We are in search of a product-oriented ML engineer who possesses strong technical acumen, exceptional communication skills, and a proven history of spearheading impactful projects from inception to completion.At Datadog, we cherish our office culture for its collaborative spirit and the creativity it fosters. We adopt a hybrid work model to support our Datadogs in achieving a work-life balance that aligns with their unique needs.
About the Role airapps is hiring an AI/ML Engineer in Madrid. This position focuses on building and improving machine learning solutions that turn data into practical insights. The work involves close collaboration with colleagues from different teams to refine current applications and design new models that support the company’s technology goals. What You Will Do Develop machine learning models to solve real business problems Work with cross-functional teams to improve existing applications Create new solutions that advance airapps’ technology Location This role is based in Madrid.
Join Celonis as an Associate Applied AI Engineer in our innovative Orbit Program, where you'll collaborate with a dynamic team to develop cutting-edge AI solutions. This role offers a unique opportunity to work at the forefront of technology, applying your skills to real-world problems and making a significant impact on our clients' operations.
Join our dynamic team at Aircall as an Infrastructure Engineer in our Madrid office! We are seeking a talented engineer to help us build and maintain our infrastructure, ensuring optimal performance and reliability. As part of our innovative environment, you will work closely with other engineers to design solutions that scale effectively and meet our growing needs.
Ebury is dedicated to empowering ambitious businesses in their quest for global expansion, and we extend that same commitment to our employees. We foster an innovative and collaborative environment that encourages problem-solving and ensures that everyone feels valued, supported, and empowered to thrive.If you're a team player eager to reshape the way businesses function on a global scale, reach out to us! We're excited to discuss how Ebury can elevate your career and help you influence the future.Senior Cloud Infrastructure Security EngineerHybrid (4 days in office) in MadridEbury is making substantial investments in its cloud infrastructure security to uphold the trust and safety of our worldwide financial services. As a Senior Security Engineer specializing in Cloud Infrastructure, you will take charge of enhancing the security framework of our cloud environments across AWS and GCP, focusing on network security, perimeter defense, and attack surface management.This hands-on position demands extensive knowledge of cloud-native security controls, network architecture, and defensive security operations. You will design, implement, and sustain security infrastructure that proactively identifies and mitigates threats before they affect our business. Close collaboration with platform, infrastructure, and security operations teams will be essential to instill security best practices within our cloud foundations.Key ResponsibilitiesOwn cloud security posture and attack surface management: Maintain comprehensive visibility and control across AWS and GCP environments. Implement cloud-native security monitoring, detection, and alerting to proactively identify and mitigate threats before they impact customers or the business. Define and enforce security baselines using policy-as-code.Design and maintain web application firewall infrastructure: Manage WAF configurations across AWS and GCP, developing and tuning detection rules in line with application threat models and emerging attack patterns. Establish operational processes for rule lifecycle management and incident response integration, collaborating with application teams to implement protections without compromising availability.Architect network segmentation and isolation: Develop and execute network security strategies ensuring proper separation between development, staging, and production environments. Define consistent patterns across multi-cloud infrastructure, applying zero-trust principles to workload communication and documenting reference architectures for engineering teams.
As a Senior DevOps / Infrastructure Engineer at Causa Prima, you will take charge of designing, building, and managing our cloud infrastructure. Your role will encompass everything from creating CI/CD pipelines to overseeing production monitoring, enhancing security, and optimizing costs. You will help establish a robust platform capable of handling sensitive financial data efficiently and securely.Key ResponsibilitiesGCP Infrastructure — Design and manage Cloud Run (API), GKE Autopilot (including agents and GPU nodes), and configure VPC with private subnets, dedicated Cloud SQL instances, IAM, and Secret Manager using Infrastructure-as-Code methodologies.CI/CD Implementation — Develop and maintain a secure CI/CD pipeline using GitHub Actions and Cloud Build, incorporating security-aware design, production approval gates, container image scanning, secret isolation, and signed commits.Monitoring and Observability — Implement OpenTelemetry for distributed tracing across TypeScript and Python services, utilize Cloud Monitoring and Sentry with PII-stripping hooks, structured logging with sanitization, and behavioral monitoring with tiered alerting.Secret Management and Rotation — Oversee credential lifecycle management for LLM API keys, database credentials, OAuth tokens, and agent signing keys using GCP Secret Manager.Container Orchestration — Manage Docker builds and registry, configure GKE clusters, and design pathways for Kubernetes-native deployments as we scale.Incident Response Management — Establish per-agent circuit breakers, implement graceful degradation, and tiered alerting (logged → Slack → PagerDuty) alongside forensic tooling via event store replay and traces.Network Security — Implement VPC firewall rules, ensure private ingress for all data stores, enforce egress controls, and manage a PII Vault on restricted-access infrastructure.Neo4j Aura Operations — Conduct monitoring, scaling decisions, and backup verification for our managed graph database.
We are seeking a highly skilled Senior AI Operations Engineer to join our innovative team at dlocal. In this pivotal role, you will leverage your expertise in AI and machine learning to enhance our operational processes, ensuring efficiency and effectiveness across our systems. You will collaborate closely with cross-functional teams to implement AI-driven solutions that will optimize our services and improve our overall performance.
Role overview The Senior AI Engineer at zooplusse will design and develop advanced AI models to address business objectives and enhance customer solutions. Collaboration with colleagues from various departments is a key part of this role, supporting the delivery of impactful AI-driven projects. What you will do Develop and improve AI models for practical, real-world use cases Partner with cross-functional teams to implement AI solutions Take the lead on AI initiatives that shape business results and customer experiences Location This role is based in Madrid.
Why Join dLocal?At dLocal, we empower the world’s largest companies to process payments across 40 countries in emerging markets. Our robust payment solutions enable global brands to enhance conversion rates and seamlessly expand their payment capabilities. As both a payment processor and a merchant of record, we facilitate our clients' entry into the fastest-growing emerging markets.By joining our dynamic team, you’ll collaborate with over 1,000 talented individuals from 30+ nationalities, contributing to a career that positively impacts millions of lives daily. We are innovators and problem solvers, committed to delivering exceptional service to our customers. If this resonates with you, we believe you’ll excel in our vibrant environment.What Awaits You?As the MLOps & AI Infrastructure Technical Lead at dLocal, you will serve as the principal technical authority guiding the design, operation, and evolution of our machine learning and AI infrastructure.Your primary goal will be to empower Data Science and AI teams in transitioning models and AI-driven services from conception to production seamlessly, reliably, and in compliance with regulations. You will take ownership of the technical roadmap for our MLOps stack, integrating AI responsibly into our engineering processes while scaling our impact as usage complexity increases.A key component of your role will involve leveraging agents and AI services to automate MLOps tasks—ranging from feature store management and platform operations to fraud detection workflows and ML cost efficiency—collaborating closely with the AI team.This position entails hands-on architectural design and leadership. While you won’t directly manage product models, your influence will be pivotal in shaping how each model and AI element is trained, deployed, monitored, and operated in production.
Join Causa Prima as a Senior AI / LLM Agent Engineer, where you will play a pivotal role in shaping our innovative product. You will design, develop, and manage autonomous agents that facilitate various critical business processes, including invoice validation, dispute resolution, inter-company negotiations, and cash flow optimization.Your ResponsibilitiesAgent Architecture — Create a robust multi-agent system focusing on agent boundaries, event contracts, orchestration patterns, and the integration of LLM reasoning with deterministic enforcement.Document Processing Pipeline — Develop a system for the ingestion, classification, and structured extraction of financial documents such as invoices and contracts using LLM-based parsing and vision models.Validation & Anomaly Detection — Implement business rule checks, three-way matching, and pricing discrepancy detection to ensure data integrity and identify anomalies over time.Integration Framework — Design integration solutions connecting with Gmail, Google Drive, Slack, banking APIs, crypto wallets, and accounting platforms, including robust authentication and data normalization processes.Knowledge Graph — Build a Neo4j context graph to capture implicit business knowledge, focusing on entity extraction and provenance tracking.Multi-LLM Strategy — Develop a strategy for selecting models per agent, establishing structured output contracts, and creating evaluation frameworks.Compliance & Security — Design systems that operate within a zero-trust model, ensuring agents verify against original data and manage outbound content securely to mitigate risks.QualificationsA minimum of 3 years of experience with Python and/or TypeScript in a production environment.Strong systems design acumen, with a focus on agent boundaries and failure modes.Proven hands-on experience with LLM-powered systems and document AI technologies.Ability to articulate when to use LLMs versus rules engines or traditional ML approaches.Experience in designing data pipelines and integration architectures in production.A strong understanding of security principles and their implications in system design.
Ebury empowers ambitious businesses to achieve global expansion, mirroring this ethos in our approach to our team. We champion innovation, collaboration, and problem-solving, creating an inclusive environment where everyone feels valued, supported, and empowered to thrive.If you're a collaborative professional eager to revolutionize global business operations, connect with us. We would be delighted to discuss how Ebury can accelerate your career trajectory and enable you to influence the future.Join Our Data Team as a Senior Data Engineer - AI PlatformHybrid Work Model: 4 days in the office, 1 day remoteBecome a part of Ebury's Data Team in our Madrid or Málaga office.The success of Ebury's strategic growth plan heavily relies on our Data team, and we are on the lookout for a skilled Data Engineer - AI Platform to enhance our Data Platform Engineering team!Our mission centers on developing, maintaining, and enhancing Ebury's Data Platform, with a current focus on constructing the Agentic Data Plane (ADP): a cohesive, governed interface layer for AI and agentic products that simplifies data communication and access while ensuring governance, lineage, traceability, and full replayability.As an AI Platform Engineer, you will collaborate closely with the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that allow Ebury to safely deploy AI and agentic products at scale.What We Offer:Attractive salary and benefits packagePerformance-based discretionary bonusOngoing personal development through training and certificationSupportive of Open Source principles, encouraging contributions to both internal and external projects
Join Aircall, a leading unicorn in the customer communications sector, revolutionizing how over 22,000 companies engage with their customers globally. Our innovative AI-powered platform integrates voice, SMS, WhatsApp, and AI into a single, compelling workspace, designed to drive revenue, enhance issue resolution, and empower customer-facing teams.Our success is rooted in a clear vision: enable teams to work smarter, not harder. Our AI Voice Agent automates routine calls, AI Assist simplifies post-call tasks, and AI Assist Pro provides real-time insights, allowing individuals to perform at their peak. This leads to increased revenue, quicker resolutions, and scalable teams that operate with confidence.Headquartered in Paris, with a robust North American base in Seattle, Aircall operates across dynamic cities including Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. Our product is beloved by customers, and we are rapidly scaling, supported by top-tier investors and continuous AI enhancements across diverse product lines.At Aircall, you will be part of an evolving company that is ambitious, product-oriented, and execution-driven, where your efforts yield visible impact, swift decision-making, and genuine growth.Our Work Culture: We are deeply customer-focused, data-centric, and committed to achieving significant results. We encourage ownership, ongoing learning, and thoughtful pace. If you excel in a cooperative, fast-paced environment where trust and influence are paramount, you will thrive with us.We are seeking a motivated and passionate Senior AI Software Engineer to enhance our expanding engineering division and contribute to our engineering teams.As a Senior AI Software Engineer, your role will involve the design, development, deployment, and management of AI-driven features that provide substantial value to our customers. Your daily responsibilities will encompass maintaining operational excellence, leveraging metrics and observability, sharing best practices, and mentoring team members across the Engineering department.Quality, excellence, and agility are the bedrock of our delivery processes, and you will be a key player in enhancing these standards. Our development is based on NodeJS and Typescript back-end stacks, tailored to meet specific requirements and always hosted on AWS, creating resilient services that integrate seamlessly with our customers' critical business tools (CRM, Helpdesk, E-Commerce, etc.).
zooplusse is looking for a Senior AI Engineer to help shape the future of Agentic Commerce. This position is based in Madrid and centers on building advanced artificial intelligence solutions that improve customer interactions and streamline business operations. Role overview This role focuses on designing and implementing AI-driven systems for commercial applications. Collaboration with a skilled team is central, with a shared goal of developing technology that supports better customer experiences and more efficient processes. What you will do Develop and refine AI models tailored to Agentic Commerce use cases Work closely with colleagues to integrate new AI features into existing platforms Contribute ideas and technical expertise to drive innovation in customer-facing solutions Location This position is based in Madrid.
Join AECOM as a Graduate Engineer specializing in Linear Infrastructures. In this dynamic role, you will work alongside seasoned professionals to design and develop innovative infrastructure solutions that enhance urban environments and transport systems. Your contributions will be instrumental in shaping sustainable infrastructure that meets the needs of communities.
zooplusse is looking for a Senior AI Software Engineer to strengthen its team in Madrid. This position centers on the software development lifecycle (SDLC) for AI-driven products. Role overview This engineer will work closely with colleagues from different disciplines to create and implement AI algorithms. The focus is on building solutions that improve user experiences and contribute to business goals. Key responsibilities Take part in all phases of the SDLC for AI projects, from initial design through deployment. Work with cross-functional teams to define and deliver technical solutions. Develop and refine advanced algorithms for real-world applications. Location This role is based in Madrid.
Why Join dLocal?dLocal empowers leading global companies to seamlessly collect payments in 40 emerging market countries. Our platform is trusted by major brands to enhance conversion rates and facilitate effortless payment expansion. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to penetrate some of the world’s fastest-growing markets.By becoming part of our dynamic team, you will join over 1000 dedicated professionals from more than 30 countries, forging an international career that positively impacts millions of lives daily. At dLocal, we are innovators who embrace challenges, prioritize customer-centric solutions, and foster a collaborative environment. If this resonates with you, we are confident you will excel with us.What’s the Opportunity?As a Senior Machine Learning Operations (MLOps) & AI Infrastructure Engineer at dLocal, you will play a pivotal role in developing and managing our ML and AI platform, with a strong emphasis on Feature Store and MLOps processes.Your responsibilities will include implementing and enhancing the tools utilized by our Data Science and AI teams to transition models and AI-driven services from concept to production. This encompasses feature pipelines, training and deployment workflows, observability, and automation.A central aspect of your role will involve leveraging agents and AI services to automate various MLOps functions—from feature store operations to managing fraud and anomaly detection workflows, as well as optimizing ML expenses—while collaborating closely with the AI Team and MLOps Technical Referent.
About Clarity AI Clarity AI is a pioneering global technology firm, established in 2017, dedicated to integrating social impact into the financial markets.Utilizing advanced AI and machine learning technologies, we empower international investors, governments, corporations, and individuals with essential data, methodologies, and tools for informed decision-making.Our diverse team of over 300 passionate professionals spans the globe, with offices in New York, Madrid, London, Paris, and Abu Dhabi. Together, we have positioned Clarity AI as a foremost sustainability tech firm, supported by reputable investors and partners like BlackRock, SoftBank, and Deutsche Börse, who resonate with our vision.We are committed to fostering an exceptional workplace culture, characterized by our values of fact-based decision making, diversity, transparency, meritocracy, and flexibility.As we continue our global expansion, we invite you to join us on this exciting journey where your contributions will significantly impact sustainable decisions for investors, companies, and consumers worldwide.About The Role We are seeking a Senior Machine Learning Engineer Staff with expertise in deploying and scaling Large Language Models (LLMs) and Agentic systems. In this pivotal role, you will connect the realms of machine learning experimentation and large-scale production by developing the robust, efficient platform that drives our AI initiatives.While our Data Science teams concentrate on crafting and fine-tuning cutting-edge models, you will take ownership of the platform that supports their efforts. You will establish best practices, create automated pipelines, and guarantee that our infrastructure can manage complex agentic workflows with high reliability and performance. This position is designed for a forward-thinking professional who stays ahead of the dynamic changes in the AI landscape and can swiftly adapt our technology stack to leverage emerging trends.To gain insights into the technologies utilized by the engineering team at Clarity AI, please explore our Tech Stack.What You’ll Be Doing As a Senior Machine Learning Engineer Staff, you will be responsible for:
JetBrains is seeking a Senior Machine Learning Researcher to focus on Spectrum. This position centers on applying machine learning expertise to improve product features and contribute to ongoing research efforts. Role overview This role involves working with a team dedicated to advancing the capabilities of Spectrum. The Senior Machine Learning Researcher will use their knowledge to influence product direction and participate in research projects that drive innovation. Key responsibilities Apply machine learning methods to enhance Spectrum's technology. Contribute to research initiatives that inform future product development. Share insights and provide leadership within the research team. Locations This position is available in Amsterdam, Belgrade, Berlin, Limassol, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.
Role overview dlocal is seeking a Senior AI Engineer to join its Madrid office. The focus of this position is to build and enhance artificial intelligence solutions that strengthen the company's products and services. What you will do Design, implement, and improve AI algorithms for practical use cases Collaborate with cross-functional teams to address technical challenges Support the development and optimization of dlocal's AI systems Requirements Extensive experience in artificial intelligence and machine learning Strong problem-solving skills and a track record of delivering effective solutions Interest in exploring new technologies and working collaboratively Location This role is based in Madrid.
About the Role inetum2 is hiring a Data Engineer and Machine Learning Specialist in Madrid. This position focuses on building data-driven solutions to improve industrial processes. The role involves working closely with teams across the company to implement machine learning algorithms and ensure data systems can scale as needed. What You Will Do Develop solutions that use data to optimize industrial operations Collaborate with colleagues from different disciplines on project delivery Implement machine learning models in production environments Support the scalability and reliability of data infrastructure Location This role is based in Madrid.
Join our innovative Notebooks team as a Staff Software Engineer specializing in AI/ML. At Datadog, our Notebooks are versatile tools for on-the-fly data analysis, collaborative investigations, and technical documentation. They facilitate seamless interaction between agents and users. Our team is at the forefront of developing AI-enhanced workflows for natural language data analysis, automated graph generation, and in-depth investigations. In this role, you will serve as a technical leader, dedicated to creating cutting-edge AI-powered functionalities. We are in search of a product-oriented ML engineer who possesses strong technical acumen, exceptional communication skills, and a proven history of spearheading impactful projects from inception to completion.At Datadog, we cherish our office culture for its collaborative spirit and the creativity it fosters. We adopt a hybrid work model to support our Datadogs in achieving a work-life balance that aligns with their unique needs.
About the Role airapps is hiring an AI/ML Engineer in Madrid. This position focuses on building and improving machine learning solutions that turn data into practical insights. The work involves close collaboration with colleagues from different teams to refine current applications and design new models that support the company’s technology goals. What You Will Do Develop machine learning models to solve real business problems Work with cross-functional teams to improve existing applications Create new solutions that advance airapps’ technology Location This role is based in Madrid.
Join Celonis as an Associate Applied AI Engineer in our innovative Orbit Program, where you'll collaborate with a dynamic team to develop cutting-edge AI solutions. This role offers a unique opportunity to work at the forefront of technology, applying your skills to real-world problems and making a significant impact on our clients' operations.
Join our dynamic team at Aircall as an Infrastructure Engineer in our Madrid office! We are seeking a talented engineer to help us build and maintain our infrastructure, ensuring optimal performance and reliability. As part of our innovative environment, you will work closely with other engineers to design solutions that scale effectively and meet our growing needs.
Ebury is dedicated to empowering ambitious businesses in their quest for global expansion, and we extend that same commitment to our employees. We foster an innovative and collaborative environment that encourages problem-solving and ensures that everyone feels valued, supported, and empowered to thrive.If you're a team player eager to reshape the way businesses function on a global scale, reach out to us! We're excited to discuss how Ebury can elevate your career and help you influence the future.Senior Cloud Infrastructure Security EngineerHybrid (4 days in office) in MadridEbury is making substantial investments in its cloud infrastructure security to uphold the trust and safety of our worldwide financial services. As a Senior Security Engineer specializing in Cloud Infrastructure, you will take charge of enhancing the security framework of our cloud environments across AWS and GCP, focusing on network security, perimeter defense, and attack surface management.This hands-on position demands extensive knowledge of cloud-native security controls, network architecture, and defensive security operations. You will design, implement, and sustain security infrastructure that proactively identifies and mitigates threats before they affect our business. Close collaboration with platform, infrastructure, and security operations teams will be essential to instill security best practices within our cloud foundations.Key ResponsibilitiesOwn cloud security posture and attack surface management: Maintain comprehensive visibility and control across AWS and GCP environments. Implement cloud-native security monitoring, detection, and alerting to proactively identify and mitigate threats before they impact customers or the business. Define and enforce security baselines using policy-as-code.Design and maintain web application firewall infrastructure: Manage WAF configurations across AWS and GCP, developing and tuning detection rules in line with application threat models and emerging attack patterns. Establish operational processes for rule lifecycle management and incident response integration, collaborating with application teams to implement protections without compromising availability.Architect network segmentation and isolation: Develop and execute network security strategies ensuring proper separation between development, staging, and production environments. Define consistent patterns across multi-cloud infrastructure, applying zero-trust principles to workload communication and documenting reference architectures for engineering teams.
As a Senior DevOps / Infrastructure Engineer at Causa Prima, you will take charge of designing, building, and managing our cloud infrastructure. Your role will encompass everything from creating CI/CD pipelines to overseeing production monitoring, enhancing security, and optimizing costs. You will help establish a robust platform capable of handling sensitive financial data efficiently and securely.Key ResponsibilitiesGCP Infrastructure — Design and manage Cloud Run (API), GKE Autopilot (including agents and GPU nodes), and configure VPC with private subnets, dedicated Cloud SQL instances, IAM, and Secret Manager using Infrastructure-as-Code methodologies.CI/CD Implementation — Develop and maintain a secure CI/CD pipeline using GitHub Actions and Cloud Build, incorporating security-aware design, production approval gates, container image scanning, secret isolation, and signed commits.Monitoring and Observability — Implement OpenTelemetry for distributed tracing across TypeScript and Python services, utilize Cloud Monitoring and Sentry with PII-stripping hooks, structured logging with sanitization, and behavioral monitoring with tiered alerting.Secret Management and Rotation — Oversee credential lifecycle management for LLM API keys, database credentials, OAuth tokens, and agent signing keys using GCP Secret Manager.Container Orchestration — Manage Docker builds and registry, configure GKE clusters, and design pathways for Kubernetes-native deployments as we scale.Incident Response Management — Establish per-agent circuit breakers, implement graceful degradation, and tiered alerting (logged → Slack → PagerDuty) alongside forensic tooling via event store replay and traces.Network Security — Implement VPC firewall rules, ensure private ingress for all data stores, enforce egress controls, and manage a PII Vault on restricted-access infrastructure.Neo4j Aura Operations — Conduct monitoring, scaling decisions, and backup verification for our managed graph database.
We are seeking a highly skilled Senior AI Operations Engineer to join our innovative team at dlocal. In this pivotal role, you will leverage your expertise in AI and machine learning to enhance our operational processes, ensuring efficiency and effectiveness across our systems. You will collaborate closely with cross-functional teams to implement AI-driven solutions that will optimize our services and improve our overall performance.
Role overview The Senior AI Engineer at zooplusse will design and develop advanced AI models to address business objectives and enhance customer solutions. Collaboration with colleagues from various departments is a key part of this role, supporting the delivery of impactful AI-driven projects. What you will do Develop and improve AI models for practical, real-world use cases Partner with cross-functional teams to implement AI solutions Take the lead on AI initiatives that shape business results and customer experiences Location This role is based in Madrid.
Why Join dLocal?At dLocal, we empower the world’s largest companies to process payments across 40 countries in emerging markets. Our robust payment solutions enable global brands to enhance conversion rates and seamlessly expand their payment capabilities. As both a payment processor and a merchant of record, we facilitate our clients' entry into the fastest-growing emerging markets.By joining our dynamic team, you’ll collaborate with over 1,000 talented individuals from 30+ nationalities, contributing to a career that positively impacts millions of lives daily. We are innovators and problem solvers, committed to delivering exceptional service to our customers. If this resonates with you, we believe you’ll excel in our vibrant environment.What Awaits You?As the MLOps & AI Infrastructure Technical Lead at dLocal, you will serve as the principal technical authority guiding the design, operation, and evolution of our machine learning and AI infrastructure.Your primary goal will be to empower Data Science and AI teams in transitioning models and AI-driven services from conception to production seamlessly, reliably, and in compliance with regulations. You will take ownership of the technical roadmap for our MLOps stack, integrating AI responsibly into our engineering processes while scaling our impact as usage complexity increases.A key component of your role will involve leveraging agents and AI services to automate MLOps tasks—ranging from feature store management and platform operations to fraud detection workflows and ML cost efficiency—collaborating closely with the AI team.This position entails hands-on architectural design and leadership. While you won’t directly manage product models, your influence will be pivotal in shaping how each model and AI element is trained, deployed, monitored, and operated in production.
Join Causa Prima as a Senior AI / LLM Agent Engineer, where you will play a pivotal role in shaping our innovative product. You will design, develop, and manage autonomous agents that facilitate various critical business processes, including invoice validation, dispute resolution, inter-company negotiations, and cash flow optimization.Your ResponsibilitiesAgent Architecture — Create a robust multi-agent system focusing on agent boundaries, event contracts, orchestration patterns, and the integration of LLM reasoning with deterministic enforcement.Document Processing Pipeline — Develop a system for the ingestion, classification, and structured extraction of financial documents such as invoices and contracts using LLM-based parsing and vision models.Validation & Anomaly Detection — Implement business rule checks, three-way matching, and pricing discrepancy detection to ensure data integrity and identify anomalies over time.Integration Framework — Design integration solutions connecting with Gmail, Google Drive, Slack, banking APIs, crypto wallets, and accounting platforms, including robust authentication and data normalization processes.Knowledge Graph — Build a Neo4j context graph to capture implicit business knowledge, focusing on entity extraction and provenance tracking.Multi-LLM Strategy — Develop a strategy for selecting models per agent, establishing structured output contracts, and creating evaluation frameworks.Compliance & Security — Design systems that operate within a zero-trust model, ensuring agents verify against original data and manage outbound content securely to mitigate risks.QualificationsA minimum of 3 years of experience with Python and/or TypeScript in a production environment.Strong systems design acumen, with a focus on agent boundaries and failure modes.Proven hands-on experience with LLM-powered systems and document AI technologies.Ability to articulate when to use LLMs versus rules engines or traditional ML approaches.Experience in designing data pipelines and integration architectures in production.A strong understanding of security principles and their implications in system design.
Ebury empowers ambitious businesses to achieve global expansion, mirroring this ethos in our approach to our team. We champion innovation, collaboration, and problem-solving, creating an inclusive environment where everyone feels valued, supported, and empowered to thrive.If you're a collaborative professional eager to revolutionize global business operations, connect with us. We would be delighted to discuss how Ebury can accelerate your career trajectory and enable you to influence the future.Join Our Data Team as a Senior Data Engineer - AI PlatformHybrid Work Model: 4 days in the office, 1 day remoteBecome a part of Ebury's Data Team in our Madrid or Málaga office.The success of Ebury's strategic growth plan heavily relies on our Data team, and we are on the lookout for a skilled Data Engineer - AI Platform to enhance our Data Platform Engineering team!Our mission centers on developing, maintaining, and enhancing Ebury's Data Platform, with a current focus on constructing the Agentic Data Plane (ADP): a cohesive, governed interface layer for AI and agentic products that simplifies data communication and access while ensuring governance, lineage, traceability, and full replayability.As an AI Platform Engineer, you will collaborate closely with the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that allow Ebury to safely deploy AI and agentic products at scale.What We Offer:Attractive salary and benefits packagePerformance-based discretionary bonusOngoing personal development through training and certificationSupportive of Open Source principles, encouraging contributions to both internal and external projects
Join Aircall, a leading unicorn in the customer communications sector, revolutionizing how over 22,000 companies engage with their customers globally. Our innovative AI-powered platform integrates voice, SMS, WhatsApp, and AI into a single, compelling workspace, designed to drive revenue, enhance issue resolution, and empower customer-facing teams.Our success is rooted in a clear vision: enable teams to work smarter, not harder. Our AI Voice Agent automates routine calls, AI Assist simplifies post-call tasks, and AI Assist Pro provides real-time insights, allowing individuals to perform at their peak. This leads to increased revenue, quicker resolutions, and scalable teams that operate with confidence.Headquartered in Paris, with a robust North American base in Seattle, Aircall operates across dynamic cities including Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. Our product is beloved by customers, and we are rapidly scaling, supported by top-tier investors and continuous AI enhancements across diverse product lines.At Aircall, you will be part of an evolving company that is ambitious, product-oriented, and execution-driven, where your efforts yield visible impact, swift decision-making, and genuine growth.Our Work Culture: We are deeply customer-focused, data-centric, and committed to achieving significant results. We encourage ownership, ongoing learning, and thoughtful pace. If you excel in a cooperative, fast-paced environment where trust and influence are paramount, you will thrive with us.We are seeking a motivated and passionate Senior AI Software Engineer to enhance our expanding engineering division and contribute to our engineering teams.As a Senior AI Software Engineer, your role will involve the design, development, deployment, and management of AI-driven features that provide substantial value to our customers. Your daily responsibilities will encompass maintaining operational excellence, leveraging metrics and observability, sharing best practices, and mentoring team members across the Engineering department.Quality, excellence, and agility are the bedrock of our delivery processes, and you will be a key player in enhancing these standards. Our development is based on NodeJS and Typescript back-end stacks, tailored to meet specific requirements and always hosted on AWS, creating resilient services that integrate seamlessly with our customers' critical business tools (CRM, Helpdesk, E-Commerce, etc.).
zooplusse is looking for a Senior AI Engineer to help shape the future of Agentic Commerce. This position is based in Madrid and centers on building advanced artificial intelligence solutions that improve customer interactions and streamline business operations. Role overview This role focuses on designing and implementing AI-driven systems for commercial applications. Collaboration with a skilled team is central, with a shared goal of developing technology that supports better customer experiences and more efficient processes. What you will do Develop and refine AI models tailored to Agentic Commerce use cases Work closely with colleagues to integrate new AI features into existing platforms Contribute ideas and technical expertise to drive innovation in customer-facing solutions Location This position is based in Madrid.
Join AECOM as a Graduate Engineer specializing in Linear Infrastructures. In this dynamic role, you will work alongside seasoned professionals to design and develop innovative infrastructure solutions that enhance urban environments and transport systems. Your contributions will be instrumental in shaping sustainable infrastructure that meets the needs of communities.
zooplusse is looking for a Senior AI Software Engineer to strengthen its team in Madrid. This position centers on the software development lifecycle (SDLC) for AI-driven products. Role overview This engineer will work closely with colleagues from different disciplines to create and implement AI algorithms. The focus is on building solutions that improve user experiences and contribute to business goals. Key responsibilities Take part in all phases of the SDLC for AI projects, from initial design through deployment. Work with cross-functional teams to define and deliver technical solutions. Develop and refine advanced algorithms for real-world applications. Location This role is based in Madrid.
Apr 29, 2026
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