Backend Engineer for AI Integration

Role overview Ebury is hiring an AI Platform Engineer for the Data Platform Engineering team based in Madrid (or Malaga). This hybrid position requires four days per week onsite and one day remote. The team is central to Ebury’s growth, focusing on building and maintaining the infrastructure that powers AI and agentic products throughout the company. What you will do Develop and maintain the Ebury Data Platform as part of the Data Platform Engineering team. Help build the Agentic Data Plane (ADP), which serves as a unified and governed interface for AI and agentic products. Design and implement features to simplify data communication and access, while maintaining governance, lineage, traceability, and replayability. Work closely with cross-functional domain teams to support secure and efficient deployment of AI and agentic products at scale. Work environment Hybrid schedule: four days onsite in Madrid (or Malaga), one day remote. Team values innovation, collaboration, and strong problem-solving skills. Supportive culture where team members are encouraged to grow and contribute to Ebury’s mission.

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

Ebury is hiring a Senior Data Engineer - AI Platform to join the Data Platform Engineering team in Madrid or Malaga. This hybrid position requires working onsite four days each week, with one day remote. Team focus The Data team supports Ebury’s growth by building, maintaining, and improving the company’s Data Platform. The group works closely with business operations and leads projects that enable new AI initiatives. Key responsibilities Collaborate with the Data Platform team and other domain teams to design and implement new platform features. Develop the Agentic Data Plane (ADP), which serves as a unified, governed interface layer for AI and agentic products. Ensure the platform enables secure and scalable deployment of AI and agentic solutions. Contribute to systems that improve data access, governance, lineage, traceability, and replayability. Work arrangement Role based in Madrid or Malaga. Hybrid schedule: four days onsite, one day remote per week.

Blacklane is seeking a Platform Engineering Manager to join the team in either Barcelona or Madrid. The focus of this role is to turn the internal platform into a unified product that connects infrastructure with developer needs. The manager will lead a growing team, aiming to streamline the developer experience and help product teams deliver more effectively. Key Responsibilities Define the direction and structure of the platform in partnership with a Staff Engineer, shaping both the team and the roadmap. Establish and maintain standards for engineering quality, prioritizing strong outcomes over simply closing tickets. Oversee delivery schedules and project scope, making decisions that influence business results. Clarify ambiguous requirements and translate them into clear, actionable plans, balancing progress with thoughtful trade-offs. Coach and support the Platform team, fostering growth, performance, and collaboration. Communicate openly with other Engineering Managers to coordinate expectations and manage dependencies. Requirements Background in Platform, Backend, or Data Engineering, with experience building and leading effective teams. Proactive in identifying and addressing challenges, able to develop business cases, gain support, and follow through on plans. Skilled at managing complex, cross-team projects and delivering strong results. Dedicated to continuous learning and consistently completes work to a high standard. Location This role is based in Barcelona or Madrid.

Join Nexthink as a Platform Engineer, where you'll play a pivotal role in enhancing the Engineering Productivity team's initiatives to empower product engineering teams in delivering exceptional software efficiently and at scale.In this dynamic position, you will take ownership of our enablement platform and productivity tools, focusing on the evolution and automation of our CI/CD stack. Your efforts will drive significant enhancements in delivery workflows, system reliability, and the overall software development lifecycle by minimizing friction and maximizing effectiveness.As the landscape of software development transforms with the integration of AI-assisted workflows and autonomous practices, your expertise will be crucial in guiding our platform's evolution to meet these new demands.Your contributions will help modernize our delivery platform to include:AI-augmented and agentic development methodologiesAutomation-first engineering principlesRobust, self-service CI/CD capabilities designed for scalabilityEmbrace the challenge to elevate engineering productivity across the organization while preparing our platform for the future of software development.

As a Senior Backend/Platform Engineer at causaprima, you will be responsible for the foundational platform utilized by our agents. Your expertise will enhance our event-driven architecture, streamline data pipelines, integrate with customer accounting systems, and ensure that our infrastructure is reliable, auditable, and efficient.Key ResponsibilitiesEvent Store Management — Design and maintain an append-only PostgreSQL database featuring tamper-evident hash chaining, real-time event distribution, agent replay, recovery capabilities, and schema versioning.Cryptographic Signature Infrastructure — Establish key management and signature verification systems for all agent events while implementing approval chains for external actions.Workflow Constraint Engine — Develop a gateway to verify authorization for any external actions including emails, payments, or API calls.PII Vault & GDPR Compliance — Create isolated, encrypted storage solutions for personal data, ensuring compliance with the right to erasure and data residency requirements.Multi-Tenancy Management — Implement row-level security and tenant isolation across all data stores, including tenant-scoped LLM API keys.Authorization Framework (Cerbos) — Utilize attribute-based access control for both agents and humans, ensuring deterministic policy evaluation where LLMs do not make authorization decisions.MCP Security Layer — Develop authentication, capability-based scoping per partner, and rate limiting for the Model Context Protocol endpoint.Database Architecture — Focus on PostgreSQL schema design, indexing strategies, performance tuning, and read replica topology.

Ebury empowers ambitious businesses to achieve global growth, and we apply this same philosophy to our team members. We promote innovation, collaboration, and problem-solving while creating an inclusive environment where everyone feels valued and supported to succeed.If you’re a team player eager to revolutionize the way businesses function on a global scale, we invite you to connect with us. Ebury is excited to help accelerate your career and enable you to shape the future.Senior Data Platform EngineerMadrid Office - Hybrid: 4 days in the office, 1 day working from homeBecome a key part of our Data Team at Ebury's Madrid Office.Our ambitious growth strategy hinges on the success of our Data team, and we are looking for a Senior Data Engineer to join our Data Platform team! Our goal is to develop, maintain, and enhance Ebury’s Data Platform focusing on scalable, robust, and innovative frameworks.In your role as a Senior Data Platform Engineer, you will collaborate with your team to develop and improve our Data Platform.

Join Aircall as a Senior Backend/Platform Engineer, where you will play a crucial role in enhancing our platform's infrastructure and backend systems. You will collaborate with cross-functional teams to design and implement scalable solutions that ensure seamless communication for our users. If you are passionate about crafting high-performance systems and thrive in a dynamic environment, we would love to hear from you!

Location: Madrid (Hybrid: 4 days in office, 1 day remote) Role Overview Ebury is seeking an experienced Engineering Manager to lead the Platform Foundations AWS team. This role involves direct management of engineering teams, technical oversight, and setting the technical direction for the core infrastructure layer, with a primary focus on AWS. The position is based in Madrid and follows a hybrid work model. The Platform Engineering Manager will ensure the resilience, compliance, scalability, and cost-effectiveness of Ebury's foundational AWS platform. Areas of responsibility include Cloud Infrastructure, Networking, Observability, and key CI/CD capabilities. Experience working in highly regulated environments is essential, as this role manages relationships with internal and external audit bodies relevant to platform operations. This position also supports Ebury’s global expansion, including integrating infrastructure for new subsidiaries and M&A activities. What You Will Do Technical Leadership and Execution Shape and guide the technical roadmap for the team, covering AWS infrastructure, networking, and foundational tooling over a 6-12 month horizon. Direct strategic approaches for AWS cloud operations and infrastructure automation, focusing on security, consistency, and cost efficiency. Take responsibility for the reliability, availability, security, and scalability of core infrastructure components. Lead technical implementation for global platform integration within AWS, supporting new subsidiaries and M&A activities through standardized infrastructure provisioning and best practices. Serve as a technical mentor and authority, advising engineers on complex architecture decisions and best practices. Delivery Management and Operations Oversee...

Yopeso brings nearly two decades of experience in software development, building both large-scale systems and tailored products. The company employs more than 300 professionals across five global locations, with a steady focus on growth, transparency, and professionalism throughout each project. Authenticity, curiosity, and ambition shape daily work at Yopeso. Teams operate with trust and integrity, maintaining open communication and a commitment to secure, reliable software. Each project emphasizes high quality and dependable performance. Collaboration plays a central role. Agile teams share knowledge and support one another, working efficiently to deliver software that aligns with the company’s core values and meets real-world needs.

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.

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.

At JetBrains, we are passionate about code. Since our inception in 2000, our mission has been to develop the most powerful and effective developer tools available. By automating routine checks and corrections, we accelerate production, empowering developers to innovate and create.About the InitiativeJetBrains is transitioning from standalone developer tools to a cohesive, AI-native platform for software development.AI is evolving from a mere editor assistant to an integral participant in the planning, building, reviewing, and operation of software across teams and organizations. This transformation brings forth challenges that go beyond individual tools, including governance, security, cost management, observability, and coordination between human and autonomous agents.Our aim is to establish a platform that facilitates the structured, scalable, and economically efficient adoption of AI in software development—without confining companies to closed ecosystems.We are constructing the foundation that integrates developer workflows, team collaboration, and organizational control into a cohesive system.This platform will function as the execution and governance layer for AI-driven development, seamlessly integrated with developer tools while designed for cross-team, product, and environment functionality.This initiative represents a long-term strategic investment for JetBrains and is a crucial element of our vision for the future of software development. The RoleWe are seeking a Developer Experience Lead to spearhead significant enhancements to the development experience within the JetBrains Cloud Platform (JCP).This position focuses on optimizing the productivity of JCP engineers by refining build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will be responsible for the developer experience from start to finish—covering local development, testing, CI processes, and production deployment. As this platform is rapidly evolving, many workflows and processes are still being refined. You will define what a superior development experience entails and guide the organization towards achieving it. As part of the team, your responsibilities will include:Leading and executing the strategy for developer experience enhancements across the entire JCP platform.Optimizing build systems (including Gradle, Nx, and others) for quicker builds, improved caching, and reliable scalability.Establishing AI development pipelines, managing context, agents, and transitions, and...

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.

About EverfieldEverfield is dedicated to acquiring, developing, and enhancing European vertical market and specialized software companies, equipping them with essential tools for advancement. Our mission is to ignite ambition, stimulate growth, and unlock opportunities within Europe’s software ecosystem.Companies within the Everfield ecosystem adopt a decentralized model, retaining their unique teams, brands, and offices while concentrating on their core strengths—product development and customer support. Everfield aids in talent acquisition, HR, and offers expert guidance on financial and operational matters to bolster the growth of European B2B SaaS enterprises. Established in 2022, Everfield has expanded its ecosystem across seven countries and continues to grow.Who We AreVozitel is a technology company specializing in conversational automation solutions and intelligent communication management for contact centers. Our platform revolutionizes customer service, boosts productivity, and provides measurable returns through voice virtual agents and generative AI tools applied to real business processes.As part of Everfield, an international software group, we benefit from product investment, excellence standards, and access to a global community of engineering and knowledge. This partnership enables us to continually innovate and deliver greater value to our clients while maintaining the agility and impact-driven approach that defines us.Our clear objective is to lead the future of Voice AI and intelligent business communications from Spain to the world.We are looking for curious, courageous individuals with a growth mindset who want to embark on this journey and help shape the future of business communications with us.

Join Datadog, a leader in cloud monitoring and observability, where we harness the power of AI to enhance our platform's capabilities. Our mission is to streamline monitoring, accelerate incident resolution, and ensure data integrity for cloud applications. The Deployment Gates team is at the forefront of creating innovative, customer-centric systems that determine the readiness of software for production. These systems play a crucial role in CI/CD pipelines, utilizing observability data to answer a pivotal question in software delivery: Is this deployment safe to proceed based on our current knowledge? As a Senior AI Engineer, you will: Advance Deployment Gates from static rules to AI-driven decisions, leveraging Datadog telemetry to identify and prevent faulty changes before they reach users. Lead the design and implementation of progressive deployment automation, starting with conservative AI rules and evolving towards adaptive gates that learn from incidents and organizational behaviors. Create frameworks for autonomous remediation, linking code changes to production issues, enabling capabilities to block and roll back unsafe deployments while suggesting fixes and enforcing policies. This role is ideal for someone with a strong product mindset, as you will engage in the entire lifecycle from problem discovery and user experience to delivering reliable, scalable production systems. At Datadog, we value our office culture - the relationships we build, the creativity we foster, and the collaboration that arises from working together. We embrace a hybrid work model to help our employees achieve a balance that suits their lifestyle.