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Contract Bioinformatician - 100% Remote - initially 3 months Exalto consulting are currently recruiting for a contract bioinformatician, this is 100% remote working, outside IR35, initially 3 months likely to extend due to the workload. • Strong programming skills, with proficiency in languages such as Python, R, or similar for data analysis., • Experience working with cloud computing platforms, preferably Amazon AWS, agentic systems, • Strong analytical skills, particularly in accuracy and reproducibility analysis of biomarkers Desirable: • Experience working with the Illumina Dragen Platform, • Experience with agentic AI frameworks., • Experience working with Domino Data Lab, • Experience working with Nextflow or similar productionized pipeline orchestrator, • Experience drafting with Jira and Confluence to track and document work If you have the above experience and are looking for a new contract role, please send your CV for immediate consideration as our client are looking to hire ASAP Contract Bioinformatician - 100% Remote - Initially 3 months

About us Vestacy is a standalone company (carved out from Reckitt) with a clear purpose: to transform houses into homes. We’re home to some of the world’s most trusted brands (Air Wick, Calgon, Cillit Bang, and Mortein) helping millions of people care for the spaces they live in every day. Backed by Advent, a leading global private equity firm, we have the freedom to think big and move fast. With almost 3,000 colleagues across 20+ countries, we see every person as a Founder, empowered to make bold decisions and shape what’s next. We care for our company the way you care for your own home: with energy, passion, and pride. Here, you’ll find space to grow, opportunities to lead, and the support to thrive. Together, we’re building something extraordinary. About the role We are looking for a dynamic and motivated Sales Trainee to join our team. This is a unique opportunity to gain hands-on experience in data-driven sales analytics and customer development, working closely with our Head of Accounts, Key Account Managers, and other experienced professionals in the field. Your responsibilities • Sales Reporting: Create and maintain both standardized and ad hoc reports, ensuring accuracy and business relevance. Analyse data to identify key insights and highlights., • Commercial Strategy Development: Collaborate with the sales team to develop and execute strategic plans for assigned key accounts, contributing ideas to enhance customer engagement and drive business and category growth., • Cross-functional Collaboration: Work closely with teams such as Trade Marketing, Customer Trade, and Operations to ensure alignment on customer needs and successful execution of initiatives., • Sales Support: Assist in the sales process, including the preparation of presentations and proposals tailored to customer needs., • Administrative Support: Provide day-to-day administrative and operational support to the Head of Accounts and Key Account Managers, ensuring smooth coordination and execution, while also contributing to the achievement of growth objectives and the overall P&L performance of a clients., • Amazon / E-commerce support:, • Ensure product availability and Buy Box ownership, managing stock issues, listings, and retailer communication, • Monitor business performance (1P & 3P), analyse data and identify growth opportunities, • Optimize and maintain product content across platforms, ensuring high-quality execution, • Manage daily operations including promotions, ASIN master data, and issue resolution, • Support new product launches (NPDs), ensuring proper listing, availability, and coordination across teams, • Resolve operational issues such as PO errors, logistics discrepancies, and pricing inconsistencies The experience we are looking for • Educated to minimum bachelor degree level (completion or near completion) in a business related subject., • English: Advanced / fluent (written, oral and spoken), • Strong analytical skills and attention to detail is critical., • Confidence, maturity, tenacity, • Passion to understand consumer products and the FMCG marketplace Skills for success • Passionate about sales, • Strong proficiency in Microsoft Excel (e.g., pivot tables, advanced formulas, data visualization) for reporting and analysis., • Strong analytical skills, • Eager to learn, with a proactive and goal-oriented mindset., • Excellent communication and interpersonal skills, • Ability to work both independently and as part of a team. What we offer We believe great work deserves great rewards. That’s why we offer numerous local benefits and global benefits designed to help you grow and thrive, such as career mobility opportunities, a referral program, access to our online learning academy, mental wellbeing support, and short-term bonus incentives. Equality We believe the best teams are built like great homes: on strong foundations and room to grow. That’s why we hire for potential as well as experience. If you resonate with our purpose, we encourage you to apply, even if you don’t tick every box. We’re committed to equal opportunity for all, regardless of age, ability, background, identity, or any other characteristic protected by law. Together, we create a space where everyone can thrive.

We are looking for a Senior Full Stack Software Developer to help us scale AI assets and develop innovative Retrieval-Augmented Generation (RAG) products. 📌 About the role In this role, you will work at the intersection of cutting-edge LLMs, intelligent agents, and application development, contributing directly to the future of AI-driven solutions. You will be responsible for developing scalable backend services, building intuitive frontend interfaces, and enhancing our Document Understanding product. What we’re looking for: • Technical Mastery: Senior expertise in Full Stack development combining Python (backend) and React.js / Node.js (frontend), along with containerization using Docker., • AI & Innovation: Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic architectures. Proven experience with LangChain is highly preferred., • Cloud & Infrastructure: Familiarity with Cloud environments (Amazon AWS, Azure) and AI model deployment/optimization., • Soft Skills & Language: Fluency in English (mandatory for our international environment) combined with excellent communication, adaptability, problem-solving, and teamwork skills. 📍 Location: Hybrid Model - Barcelona Sector: IT / Artificial Intelligence & Software Development Why join this project? 🤝 People first – inclusive, diverse, and international culture. 🚀 Work with cutting-edge technology on global-scale products. 📈 Clear opportunities for career progression and continuous development. 😁 Collaborative teams with a strong sense of belonging. 🎓 Access to learning resources and development programs. 💰 Competitive compensation. 🩺 Private health insurance & benefits (according to region). ⚡ Flexible working environment and hybrid model. 🏋️ Wellness and mental-health initiatives. 🥳 Team-building activities and global community events. ✨ Want to know more about us? Click here and discover all the details. 🔍 Find out what people are saying about us on Glassdoor Reviews. 💬 We know that not every candidate will meet 100% of the requirements. If your profile doesn’t match perfectly but you believe you can add value, we would still love to hear from you! 👉 Ready for the challenge? Apply now and be part of a global digital leader driving innovation and transformation. Empowering People, Unlocking Innovation. The employee will adhere to information security policies: • Will have access to confidential information related to Capitole and the project they are working on., • Must comply with the security policies and internal policies of the company and the client., • Must sign an NDA.

AWS Cloud Engineer – Database AWS Cloud Engineer – Database Administration Role Overview As an AWS Cloud Engineer with a Database specialization, you will be responsible for the reliability, performance, and lifecycle management of cloud databases running on AWS. Your primary focus will be Oracle Database@AWS environments, including high availability, disaster recovery, performance optimization, and database automation. You will collaborate closely with application teams, platform engineers, and security teams to ensure robust and compliant database operations. Key Responsibilities AWS Cloud Operations • Operate AWS platform components supporting database workloads, • Automate database provisioning and operations using Terraform and scripting, • Participate in incident, problem, and change management processes Database Administration • Manage and operate Oracle Database@AWS instances, • Manage and operate Amazon RDS instances (PostgreSQL, MySQL, SQL Server, etc.), • Configure and maintain high availability, failover mechanisms, and replication, • Design and validate backup and restore strategies, • Perform database performance analysis and query optimization, • Conduct capacity planning and database upgrades, • Implement database security controls, including encryption, RBAC, and auditing Platform Collaboration • Support development teams with database migrations and schema changes, • Work with security teams to ensure database compliance and hardening, • Provide guidance on database architecture best practices Skills & Experience • Several years of experience as a Database Administrator or Cloud Database Engineer, • Strong expertise with relational databases (Oracle, PostgreSQL, MySQL, SQL Server), • Hands-on experience with AWS RDS and Amazon Aurora, • Experience with Terraform and infrastructure automation, • Strong knowledge of database performance tuning and HA/DR architectures, • Experience working in regulated or security-sensitive environments What’s great about working with us: • Culture and diversity: Join a people oriented environment with different nationalities and a great team spirit, flat hierarchies (everyone speaks to everyone). Equal Opportunity Employer and LGBT+ friendly., • Global Collaboration: Work collaboratively with stakeholders around the globe., • Career Development: Benefit from continuous training, coaching, and talent development programs., • Social Benefits: flexible compensation (transport tickets, training, private insurance), etc., • Canteen: take a break with our breakfast and lunch service: chose between a wild range of menus, salad desk, and sandwiches service. Nicely prices!, • Work-Life Balance: Flexible working hours with the option for remote work (M-Th 8.30 – 17.30 and Fri 8.30 – 15.30; 3 days of remote work)., • Location: Sant Joan Despí. Easy communication by public transport. Privacy Notice The personal data you provide will be processed to manage your application in accordance with the GDPR and our Privacy Policy, available at _.

At G+D Mobile Security, a world leader in secure telecommunications systems, we are looking for a highly skilled and proactive AWS Cloud Engineer to join our agile team. You’ll be instrumental in building and managing our AWS Landing Zone, supporting application teams across multiple Agile Release Trains (ARTs), and enabling secure, scalable, and automated cloud deployments. This is a hands-on engineering role focused on cloud infrastructure, automation, container orchestration, and system performance. You’ll work in a Scrum team, and experience with SAFe is a plus. Key Responsibilities • Design, implement, and manage AWS Landing Zones and foundational cloud infrastructure., • Support migration of application stacks to AWS, ensuring performance, security, and scalability., • Manage and maintain Kubernetes clusters and Docker container deployments., • Automate infrastructure and application deployments using Terraform, Ansible, and CI/CD pipelines., • Install, configure, and maintain operating systems, cloud-native tools, and monitoring solutions., • Support cloud-based solutions across AWS, OpenStack, and other cloud platforms., • Monitor and optimize application performance, troubleshoot bottlenecks, and collaborate with developers on improvements., • Maintain system security, backups, and disaster recovery strategies., • Write and maintain scripts to improve operational efficiency and reduce manual intervention. Requirements • At least 5 years of extensive hands-on experience with AWS, including services such as EC2, VPC, IAM, S3, CloudFormation, CloudWatch, Lambda, RDS, ECS, EKS, Route 53, and AWS Organizations., • Proven experience in migrating application stacks to AWS (rehosting, replatforming, or refactoring)., • Mandatory experience with container orchestration, such as Kubernetes (Open Source and OpenShift) and/or Amazon ECS., • Strong skills in Infrastructure as Code using Terraform and Ansible., • Solid experience with Linux/Unix systems administration., • Experience with virtualization and containerization technologies (e.g., VMware, Docker)., • Familiarity with monitoring tools (e.g., Splunk, Nagios) and performance tuning of application stacks (e.g., Tomcat, JBoss, Apache, NGINX)., • Understanding of networking concepts (OSI model, TCP/IP)., • Experience working in Agile/Scrum teams; SAFe experience is a plus., • Strong scripting skills (e.g., Bash, Python) for automation and tooling., • High level of English and Spanish. Preferred Qualifications • Degree or Master’s in Computer Science, Engineering, or a related field., • AWS certifications (e.g., Solutions Architect, DevOps Engineer)., • Knowledge of security and compliance frameworks (e.g., CIS, NIST)., • Prior experience in telecom or mobile network environments., • Understanding of GSMA security and compliance frameworks. What’s great about working with us: • Culture and diversity: Join a people oriented environment with different nationalities and a great team spirit, flat hierarchies (everyone speaks to everyone). Equal Opportunity Employer and LGBT+ friendly., • Global Collaboration: Work collaboratively with stakeholders around the globe., • Career Development: Benefit from continuous training, coaching, and talent development programs., • Social Benefits: flexible compensation (transport tickets, training, private insurance), etc., • Own canteen: take a break with our breakfast and lunch service: chose between a wild range of menus, salad desk, and sandwiches service. Nicely prices!, • Work-Life Balance: Flexible working hours with the option for remote work (M-Th 8.30 – 17.30 and Fri 8.30 – 15.30; 3 days of remote work)., • Location: Sant Joan Despí. Easy communication by public transport. Privacy Notice The personal data you provide will be processed to manage your application in accordance with the GDPR and our Privacy Policy, available at _.

At G+D Mobile Security, a world leader in secure telecommunications systems, we are looking for a highly skilled and proactive Cloud Engineer to join our agile team. You’ll be instrumental in building and managing our AWS Landing Zone, supporting application teams across multiple Agile Release Trains (ARTs), and enabling secure, scalable, and automated cloud deployments. This is a hands-on engineering role focused on cloud infrastructure, automation, container orchestration, and system performance. You’ll work in a Scrum team, and experience with SAFe is a plus. Key Responsibilities • Design, implement, and manage AWS Landing Zones and foundational cloud infrastructure., • Support migration of application stacks to AWS, ensuring performance, security, and scalability., • Manage and maintain Kubernetes clusters and Docker container deployments., • Automate infrastructure and application deployments using Terraform, Ansible, and CI/CD pipelines., • Install, configure, and maintain operating systems, cloud-native tools, and monitoring solutions., • Support cloud-based solutions across AWS, OpenStack, and other cloud platforms., • Monitor and optimize application performance, troubleshoot bottlenecks, and collaborate with developers on improvements., • Maintain system security, backups, and disaster recovery strategies., • Write and maintain scripts to improve operational efficiency and reduce manual intervention. Requirements • At least 5 years of extensive hands-on experience with AWS, including services such as EC2, VPC, IAM, S3, CloudFormation, CloudWatch, Lambda, RDS, ECS, EKS, Route 53, and AWS Organizations., • Proven experience in migrating application stacks to AWS (rehosting, replatforming, or refactoring)., • Mandatory experience with container orchestration, such as Kubernetes (Open Source and OpenShift) and/or Amazon ECS., • Strong skills in Infrastructure as Code using Terraform and Ansible., • Solid experience with Linux/Unix systems administration., • Experience with virtualization and containerization technologies (e.g., VMware, Docker)., • Familiarity with monitoring tools (e.g., Splunk, Nagios) and performance tuning of application stacks (e.g., Tomcat, JBoss, Apache, NGINX)., • Understanding of networking concepts (OSI model, TCP/IP)., • Experience working in Agile/Scrum teams; SAFe experience is a plus., • Strong scripting skills (e.g., Bash, Python) for automation and tooling., • High level of English and Spanish. Preferred Qualifications • Degree or Master’s in Computer Science, Engineering, or a related field., • AWS certifications (e.g., Solutions Architect, DevOps Engineer)., • Knowledge of security and compliance frameworks (e.g., CIS, NIST)., • Prior experience in telecom or mobile network environments., • Understanding of GSMA security and compliance frameworks. What’s great about working with us: • Culture and diversity: Join a people oriented environment with different nationalities and a great team spirit, flat hierarchies (everyone speaks to everyone). Equal Opportunity Employer and LGBT+ friendly., • Global Collaboration: Work collaboratively with stakeholders around the globe., • Career Development: Benefit from continuous training, coaching, and talent development programs., • Social Benefits: flexible compensation (transport tickets, training, private insurance), etc., • Own canteen: take a break with our breakfast and lunch service: chose between a wild range of menus, salad desk, and sandwiches service. Nicely prices!, • Work-Life Balance: Flexible working hours with the option for remote work (M-Th 8.30 – 17.30 and Fri 8.30 – 15.30; 3 days of remote work)., • Location: Sant Joan Despí. Easy communication by public transport. Privacy Notice The personal data you provide will be processed to manage your application in accordance with the GDPR and our Privacy Policy, available at _.

Data Scientist — Machine Learning for Marketing 📍 Barcelona · Full-time Most marketing decisions are still made on instinct. We help the world's most sophisticated advertisers replace that instinct with evidence. Indaru is an independent media and data advisory firm. We combine senior consulting judgement with advanced analytics to answer the questions that matter most to large advertisers: what is our marketing actually delivering, what should we change, and what happens if we do? Our work sits behind multi-million-euro investment decisions at some of the largest brands in the world. We're looking for a Data Scientist who is genuinely excited about applying machine learning to real commercial problems — and who wants their models to shape decisions, not sit in a notebook. What you'll work on You'll join a team of data scientists building the models and measurement that guide our clients' marketing investment. Day to day, that means: • Developing machine-learning models applied to marketing — Marketing Mix Modelling (MMM), forecasting, segmentation and attribution, • Contributing to our proprietary products: AITA, our MMM platform, and EcoMetrics, our ISO-aligned solution for measuring the carbon footprint of digital advertising, • Turning model output into clear, defensible recommendations clients can act on, • Building and optimising the data pipelines (ELT) that bring together Google Ads, Meta, Google Analytics, YouTube and Amazon data, • Designing and maintaining dashboards in Looker Studio, Shiny, Power BI and similar tools, • Presenting your findings directly to clients — your analysis, in your words What we're looking for Essential • Strong Python for data science (pandas, scikit-learn and the wider ecosystem) and comfort working with large datasets (GB–TB scale), • Solid SQL — able to write and reason about complex queries, • A rigorous, detail-oriented and self-directed way of working, • A genuine collaborator who enjoys working closely with colleagues and clients, • Strong written and spoken English (C1), • A degree in Computer Science, Mathematics, Statistics, Engineering or a related quantitative field Nice to have • Experience with deep-learning or Bayesian frameworks (TensorFlow, Keras, PyMC, PySpark), • Familiarity with a cloud platform (Google Cloud, AWS or Azure), • Exposure to marketing, media or advertising data, • Additional languages — we work across Europe, the Americas, the Middle East and Asia-Pacific Don't tick every box? If you're strong on the essentials and keen to grow into the rest, we'd still like to hear from you. What we offer • A front-row seat on high-stakes measurement work for global brands — exposure most data scientists wait years for, • Proprietary products at the frontier of MMM and sustainability measurement, • Real ownership of your work and direct client contact early on, • A serious commitment to developing your potential — we treat growth as part of the job, not a perk, • A collaborative, open team that takes the work seriously without taking itself too seriously, • Full-time position based in Barcelona, with a competitive salary Know someone who'd be a great fit? Please share this post.

🚀 ¡En K-LAGAN te estamos esperando para continuar creciendo juntos! Somos una empresa internacional de servicios tecnológicos, especializada en: IT: Banca, Seguros, Retail & E-Commerce, Healthcare. Transporte & Supply Chain: Ferroviario, Automoción, Logística y Aeroespacial. Manufacturing: Energías Renovables, Oil & Gas y Utilities. I+D: Investigación, innovación y desarrollo de soluciones tecnológicas. Trabajamos con un enfoque en innovación, impacto real y soluciones a medida, acompañando a nuestros clientes en la transformación de sus negocios y procesos. Nos mueve un propósito claro: Humanizar la tecnología y liderar la sostenibilidad, siendo responsables con nuestro equipo, nuestros clientes y la sociedad. Creamos impacto a través de la innovación y las personas, participando en proyectos que ayudan a las organizaciones a crecer, evolucionar y transformarse. 🚀 La oportunidad Buscamos incorporar un/a QA Automation Engineer (Senior) para unirse a un proyecto internacional y estratégico de gran envergadura. En este rol, serás una pieza clave para asegurar la calidad, estabilidad y rendimiento del software, diseñando e implementando estrategias de automatización avanzadas y validando la preparación para producción en infraestructuras de alto rendimiento. El trabajo se realizará en modalidad principalmente remota (con viajes de negocio puntuales, una o dos veces al año, a París o a Barcelona). 🎯 Tu misión Tu misión será liderar el aseguramiento de la calidad de extremo a extremo, colaborando estrechamente con los equipos de desarrollo desde la definición de historias de usuario, diseñando planes de pruebas sólidos y automatizando flujos críticos (tanto funcionales como de rendimiento y API) para garantizar entregas robustas alineadas con el roadmap del producto. 📌 ¿Qué harás en tu día a día? • Análisis y Estrategia: Analizar requisitos, identificar escenarios de prueba, colaborar en la redacción de user stories y aportar feedback de mejora desde etapas tempranas., • Automatización de Pruebas: Diseñar, desarrollar y mantener scripts de prueba automatizados utilizando herramientas punteras como Playwright y Cucumber (BDD con Gherkin) para maximizar la eficiencia y cobertura., • Pruebas de Rendimiento y API: Configurar y ejecutar pruebas de carga y rendimiento con JMeter y Grafana k6, así como pruebas de API utilizando Postman u otras herramientas similares., • Gestión y Reporte: Crear y ejecutar planes de prueba detallados (manuales y automáticos), gestionar el seguimiento de bugs, analizar resultados y elaborar reportes de calidad., • Innovación y Mejora: Explorar de forma continua nuevas técnicas, metodologías y herramientas de testing para optimizar el proceso de QA en metodologías Agile/Scrum. 🧩 Requisitos • Experiencia: Trayectoria sólida de más de 5 años de experiencia demostrable en automatización de pruebas (Automation Testing)., • Idiomas: Nivel alto de inglés (obligatorio), con excelente comunicación oral y escrita para colaborar en entornos internacionales., • Automatización y Metodologías: Experiencia real con Playwright, Cucumber y redacción de casos en Gherkin. Sólida experiencia trabajando bajo marcos ágiles (Agile/Scrum)., • Habilidades Técnicas (Stack): * Conocimientos de programación en TypeScript, JavaScript o Java., • Pruebas de API (Postman) y gestión de bases de datos con consultas SQL., • Uso de sistemas de control de versiones (Git)., • Entornos Cloud y Performance: Conocimiento de plataformas cloud y pruebas de carga, especialmente AWS (DLTA, AWS Lambda, AWS Step Functions, Amazon API Gateway, S3, Cloud9, etc.). Familiaridad con procesos y herramientas de CI/CD., • Habilidades Blandas: Autonomía, fiabilidad, gran capacidad analítica, resolución de problemas y excelentes dotes de comunicación y trabajo en equipo. 🌟 Muy valorado (Plus) • Grado Universitario en Informática, Ingeniería o un campo relacionado., • Experiencia avanzada y especializada en pruebas de rendimiento (Performance Testing) aplicadas a infraestructuras críticas en la nube. 🌱 ¿Qué te ofrecemos? Salario hasta 45.000 euros anuales brutos Proyecto estratégico e internacional, con alto impacto en negocio. Contrato indefinido. Horario flexible y día libre por tu cumpleaños. Programa de reconocimiento 3 C’s (Compromiso, Comunicación y Orientación al Cliente). Plan de carrera, formación continua y seguro médico. Plan de retribución flexible (guardería, transporte, idiomas). Eventos y team buildings: afterworks, barbacoas y cenas de Navidad/Verano. 🧡 Nuestro compromiso En K-LAGAN, apostamos por una tecnología responsible (Green IT) y promovemos initiatives de impacto social, como nuestro Día Solidario anual, dentro de un entorno donde las personas puedan desarrollarse y crecer. La igualdad de oportunidades es uno de nuestros pilares. 📩 ¿Te interesa? ¡Aplica ahora y forma parte de K-LAGAN! ✅ YOUR GROWTH, OUR VISION

NTT DATA es una consultora multinacional que ofrece soluciones tecnológicas, de negocio, estrategia, desarrollo y mantenimiento de aplicaciones, siendo un referente en consultoría. Digital Technology es la unidad enfocada a acompañar a las grandes organizaciones iberoamericanas en su transformación digital, generando dividendos digitales a través de la tecnología y el diseño, con enfoque práctico y orientado al negocio. Para lograrlo, buscamos personas que compartan nuestra curiosidad permanente, pasión por la tecnología, excelencia constante y visión estratégica. Digital Architecture es la división que proporciona la estrategia tecnológica y las plataformas IT necesarias para impulsar la digitalización y transformación de nuestros clientes, ofreciendo soluciones cloud-native y siendo referentes en la construcción de arquitecturas robustas, seguras y que contemplen todas las necesidades. Como Premier Tier Services Partner de Amazon, en NTT DATA somos conscientes de jugar un rol trascendental para llevar la innovación a nuestros clientes cumpliendo los requisitos necesarios. Para ello, AWS es una de nuestras plataformas clave para acelerar la transformación digital, diseñando arquitecturas cloud-native y apostando por sus servicios para construir soluciones robustas, modulares y escalables. Aquí no solo usarás la nube, sino que la transformarás en una ventaja competitiva real. Buscamos profesionales que dominen los servicios clave de AWS y aporten visión estratégica para liderar la definición de arquitecturas que sean resilientes, seguras y alineadas con la estrategia del negocio. Trabajarás en proyectos donde el diseño de soluciones cloud-native, el uso de patrones de arquitectura moderna, y la integración de servicios marcarán el rumbo tecnológico de grandes compañías. Si entiendes la nube como una herramienta de transformación y tienes experiencia en arquitecturas complejas en AWS, ¡te queremos en el equipo! Para nosotros es muy importante que nuestro conocimiento esté actualizado, y por ello: • Ponemos a tu disposición un track formativo en tecnologías avanzadas, habilidades, competencias y metodologías que te harán evolucionar como profesional., • Tendrías acceso total a la plataforma Udemy para el catálogo de formaciones de AWS para que puedas ampliar tu catálogo de certificaciones, las cuales bonificamos., • Dispondrás de horas de prácticas y cuentas en AWS para poder realizar casos prácticos., • Desde nuestro Centro de Excelencia de AWS, impulsamos una experiencia profesional que va mucho más allá del desarrollo diario. Participarás en acciones de partnership estratégico, programas de formación especializada, y eventos clave como AWS Summit, AWS re:Invent o sesiones técnicas de AWS PartnerCast. Queremos que formes parte activa del desarrollo de la práctica de AWS, con visibilidad, aprendizaje continuo y un entorno donde tu impacto se nota. 📍 Aunque nuestra búsqueda está centrada principalmente en Barcelona, también tenemos equipos en Madrid, Bilbao, Valladolid, Zaragoza, Sevilla, A Coruña, Valencia y Oviedo. Por lo que si vives en estas u otras ciudades también nos interesa tu perfil y estaremos encantados de conocerte. ¿Qué te ofrecemos? 🧠 Formar parte de un equipo de élite especializado en la unión entre estrategia y tecnología. 💼 Contrato indefinido con revisiones de categoría y salario de manera anual. 🎓 Certificaciones bonificadas de los principales proveedores cloud (AWS, Azure, GCP) y otras tecnologías. 📝 Acceso gratuito a nuestra plataforma formativa, NTT DATA University, donde encontrarás formaciones técnicas, metodológicas, idiomas y soft skills. 👩🏽 💻 Trabajo híbrido y horario flexible para facilitar la conciliación. 📅 Jornada intensiva (8:00 a 15:00) los viernes y los meses de verano. 🏥 Beneficios corporativos: complementos salariales adicionales, retribución flexible, seguro médico, seguro de vida y accidentes y muchos más. 🌊 Programas solidarios y actividades sociales para impulsar un impacto positivo a través de nuestro portal de voluntarios The Blue Wave. 🔝 Un ambiente de trabajo excelente, que fomenta el compañerismo y la buena convivencia. Somos Global Top Employer 2025, y, en España, por 10º año consecutivo. 🌏 Innovación diversa y cultura inclusiva. En NTT DATA creemos que cada persona es única y apostamos por una cultura que valora la diversidad y fomenta un entorno donde todos podamos explorar y potenciar nuestra singularidad. ¡Únete al equipo de Digital Technology en NTT DATA!

About Xebia For more than 25 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 6000+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. About the Role Scientific Knowledge Engineer, Ontology & Data Modeling This role is responsible for maximizing the value of our data assets over a lifetime to bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model – complete with significant ontology and vocabulary - that can be utilized to effectively structure and index the data. Specifically working with Product managers and R&D subject matter expertise to define the language (data models, ontology, standards, etc.) of science into data products by acting as the voice of “Knowledge base” and interoperability/value of asset. Key responsibilities include: • Definition of schemas/ontology and data models of scientific information required for the creation of value adding data products. This includes accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling., • Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling – e.g., models, schemas, controlled vocab., • Working with Product managers/engineers confidently convert business need into defined deliverable business requirements to enable the integration of large-scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery., • Collaborate with external groups to align data standards with industry/ academic ontologies ensuring that data standards are defined with usage/analytics in mind., • Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights, • Contribute to and maintain documentation of data standards, ontology decisions, and mapping rationale to support organizational knowledge transfer and auditability Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: • Masters degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life science application focus), • 6+ years of relevant work experience, • Specific experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, and schema governance, • Hands-on experience with open-source ontology tools and languages: Protégé, SPARQL, OWL, SKOS, SHACL, RML, RDF/Turtle, • Working knowledge of major life sciences ontologies: Gene Ontology (GO), OBO Foundry ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, UMLS, • Familiarity with linked data principles and semantic web technologies, • Experience with industry-standard tools for building data serialization protocols (e.g., JSON Schema, LinkML), • Proficiency in at least one programming language — preferably Python — for scripting vocabulary mappings, building data models, automating QC, and prototyping pipelines Preferred Qualifications: If you have the following characteristics, it would be a plus: • Experience with data governance and data quality tooling (e.g., Ataccama, Informatica, Talend, OpenRefine, Great Expectations, dbt), • Experience with at least one programming language – e.g. Python – for scripting vocabulary mappings, building data models, etc, • Experience supporting LLM integration or AI-readiness workflows — including metadata enrichment, entity linking, embedding pipelines, or retrieval-augmented generation (RAG) architectures, • Understanding of vector databases and their role in semantic search and knowledge retrieval (e.g., Weaviate, Chroma), • Familiarity with cloud data platforms and infrastructure relevant to large-scale biological data (e.g., AWS, GCP, Azure), • Familiarity with graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph) Compensation Salary Range: €58,000 – €68,000 gross per year, depending on experience, skills, and overall fit for the role.

Buscamos Tech Lead /GEN AI, Python y AWS) para formar parte de la plantilla de Plexus y participar en emocionantes y atractivos proyectos. Requisitos: • Python avanzado (>7 años)., • Diseño RAG completo: chunking/embeddings, retrieval, reranking, prompt engineering y evaluación de agentes., • Desarrollo de agentes con Strands Agents (Python + FastAPI), empaquetados en Docker., • Amazon Bedrock en producción: Agents nativo (incl. multi-agente), Knowledge Bases y Converse API., • Diseño de arquitecturas AWS serverless: Lambda, API Gateway, Step Functions, DynamoDB, S3, EventBridge, Secrets Manager, Cognito, CloudFront, AWS Batch, OpenSearch y entornos multi-cuenta. Deseable • AgentCore, MCP y patrón A2A., • LLMOps/MLOps (langfuse, mlflow) y evaluación/trazabilidad de LLMs., • Integración de datos: SQL Server/D2, SharePoint (MS Graph), Dremio; OCR (PyMuPDF/Tesseract)., • Seguridad/cumplimiento GenAI multi-tenant y FinOps (coste de LLMs). Soft skills • >3 años como Tech Lead en proyectos de IA (idealmente GenAI en producción)., • Estimación de esfuerzos, priorización y gestión de entregas., • Interlocución con negocio/Product Owners e intermediación entre usuario final, otros Tech Leads y el equipo., • Liderazgo, proactividad y comunicación/documentación técnica., • Gestión y desarrollo del equipo., • Definición y governance de estándares y decisiones de arquitectura. Ofrecemos: • Formación a medida. Contamos con varias plataformas de formación disponibles para que todos los empleados de Plexus puedan configurar un plan formativo a medida según sus intereses profesionales., • Formación de idiomas Es un programa de aprendizaje y perfeccionamiento de idiomas a disposición de tod@s los trabajadores/as de la compañía. Un método que combina tecnología, contenido personalizado, interacción con el profesor y la optimización del tiempo. Incluye también clases grupales de conversación en las que podréis coincidir con alumnos de otros países., • Certificaciones a disposición de todos los trabajadores los recursos necesarios para preparar y obtener sus certificaciones a través de Plexus., • Paquete de retribución Flexible contamos con Seguro médico, Ticket Restaurante, Ticket transporte y Ticket guardería, • El Club Benefits de Plexus Tech: un servicio a disposición de todos los trabajadores de la compañía que nos permite el acceso a ofertas exclusivas en viajes, hogar, salud, tecnología, moda y demás., • Contratación indefinida + teletrabajo Plexus Tech mantiene un compromiso firme con las políticas de Igualdad de empresa. Todos nuestros procesos de selección tienen en cuenta la igualdad de oportunidades entre hombres y mujeres de forma transversal, quedando esto reflejado en nuestro Plan de Igualdad. Fomentamos la igualdad de trato y de oportunidades para toda persona, de modo que ninguna razón de nacimiento, raza, sexo, religión, opinión o cualquier otra condición o circunstancia personal o social cause discriminación. En particular, la organización está comprometida con la creación de un contexto favorable a la diversidad y avance en la erradicación de la discriminación de las personas LGTBI, independientemente de su orientación e identidad sexual o su expresión de género

About Xebia For more than 25 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 6000+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. About the Role Scientific Knowledge Engineer, Ontology & Data Modeling This role is responsible for maximizing the value of our data assets over a lifetime to bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model – complete with significant ontology and vocabulary - that can be utilized to effectively structure and index the data. Specifically working with Product managers and R&D subject matter expertise to define the language (data models, ontology, standards, etc.) of science into data products by acting as the voice of “Knowledge base” and interoperability/value of asset. Key responsibilities include: • Definition of schemas/ontology and data models of scientific information required for the creation of value adding data products. This includes accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling., • Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling – e.g., models, schemas, controlled vocab., • Working with Product managers/engineers confidently convert business need into defined deliverable business requirements to enable the integration of large-scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery., • Collaborate with external groups to align data standards with industry/ academic ontologies ensuring that data standards are defined with usage/analytics in mind., • Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights, • Contribute to and maintain documentation of data standards, ontology decisions, and mapping rationale to support organizational knowledge transfer and auditability Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: • Masters degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life science application focus), • 6+ years of relevant work experience, • Specific experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, and schema governance, • Hands-on experience with open-source ontology tools and languages: Protégé, SPARQL, OWL, SKOS, SHACL, RML, RDF/Turtle, • Working knowledge of major life sciences ontologies: Gene Ontology (GO), OBO Foundry ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, UMLS, • Familiarity with linked data principles and semantic web technologies, • Experience with industry-standard tools for building data serialization protocols (e.g., JSON Schema, LinkML), • Proficiency in at least one programming language — preferably Python — for scripting vocabulary mappings, building data models, automating QC, and prototyping pipelines Preferred Qualifications: If you have the following characteristics, it would be a plus: • Experience with data governance and data quality tooling (e.g., Ataccama, Informatica, Talend, OpenRefine, Great Expectations, dbt), • Experience with at least one programming language – e.g. Python – for scripting vocabulary mappings, building data models, etc, • Experience supporting LLM integration or AI-readiness workflows — including metadata enrichment, entity linking, embedding pipelines, or retrieval-augmented generation (RAG) architectures, • Understanding of vector databases and their role in semantic search and knowledge retrieval (e.g., Weaviate, Chroma), • Familiarity with cloud data platforms and infrastructure relevant to large-scale biological data (e.g., AWS, GCP, Azure), • Familiarity with graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph) Compensation Salary Range: €58,000 – €68,000 gross per year, depending on experience, skills, and overall fit for the role.

About Xebia For more than 25 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 6000+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. About the Role Scientific Knowledge Engineer, Ontology & Data Modeling This role is responsible for maximizing the value of our data assets over a lifetime to bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model – complete with significant ontology and vocabulary - that can be utilized to effectively structure and index the data. Specifically working with Product managers and R&D subject matter expertise to define the language (data models, ontology, standards, etc.) of science into data products by acting as the voice of “Knowledge base” and interoperability/value of asset. Key responsibilities include: • Definition of schemas/ontology and data models of scientific information required for the creation of value adding data products. This includes accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling., • Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling – e.g., models, schemas, controlled vocab., • Working with Product managers/engineers confidently convert business need into defined deliverable business requirements to enable the integration of large-scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery., • Collaborate with external groups to align data standards with industry/ academic ontologies ensuring that data standards are defined with usage/analytics in mind., • Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights, • Contribute to and maintain documentation of data standards, ontology decisions, and mapping rationale to support organizational knowledge transfer and auditability Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: • Masters degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life science application focus), • 6+ years of relevant work experience, • Specific experience contributing to Knowledge Graph development efforts, including entity modeling, relationship design, and schema governance, • Hands-on experience with open-source ontology tools and languages: Protégé, SPARQL, OWL, SKOS, SHACL, RML, RDF/Turtle, • Working knowledge of major life sciences ontologies: Gene Ontology (GO), OBO Foundry ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO), MeSH, SNOMED CT, UMLS, • Familiarity with linked data principles and semantic web technologies, • Experience with industry-standard tools for building data serialization protocols (e.g., JSON Schema, LinkML), • Proficiency in at least one programming language — preferably Python — for scripting vocabulary mappings, building data models, automating QC, and prototyping pipelines Preferred Qualifications: If you have the following characteristics, it would be a plus: • Experience with data governance and data quality tooling (e.g., Ataccama, Informatica, Talend, OpenRefine, Great Expectations, dbt), • Experience with at least one programming language – e.g. Python – for scripting vocabulary mappings, building data models, etc, • Experience supporting LLM integration or AI-readiness workflows — including metadata enrichment, entity linking, embedding pipelines, or retrieval-augmented generation (RAG) architectures, • Understanding of vector databases and their role in semantic search and knowledge retrieval (e.g., Weaviate, Chroma), • Familiarity with cloud data platforms and infrastructure relevant to large-scale biological data (e.g., AWS, GCP, Azure), • Familiarity with graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph) Compensation Salary Range: €58,000 – €68,000 gross per year, depending on experience, skills, and overall fit for the role.

En Claire Joster somos especialistas en la búsqueda y selección de Perfiles cualificados de Mando Intermedio y Management en el ámbito tecnológico para las principales áreas funcionales y técnicas, con un valor añadido fundamental: la captación de talento, basada en valores y ajuste cultural de nuestros clientes y candidatos. Actualmente estamos buscando cubrir varios perfiles de Ingeniero/a de IA para importante cliente español con presencial internacional que se dedica a ofrecer soluciones tecnológicas para mejorar la experiencia del cliente, especialmente en entornos de centros de contacto. Esta persona se unirá al equipo de bots de atención al cliente / agentes de IA. MISIÓN DEL PUESTO: • Trabajarás de extremo a extremo a lo largo del ciclo de vida — descubrimiento, diseño, desarrollo, evaluación, despliegue y operación — creando soluciones robustas basadas en LLM/NLU, pipelines de conocimiento e integraciones a través de canales de voz y digitales, principalmente en español., • Este es un rol de ingeniería práctico para alguien con curiosidad sobre hacia dónde va la IA, cómodo llevando sistemas agentivos a producción, y con criterio para hacerlo de forma segura y rentable. RESPONSABILIDADES: Descubrimiento y diseño • Traducir necesidades de CX y negocio en diseños de soluciones de IA que abarquen NLU/LLM, RAG, ASR/TTS e integraciones de backend., • Definir requisitos funcionales y no funcionales: latencia, resiliencia, observabilidad, seguridad, coste por conversación. Implementación de agentes y modelos • Diseñar y construir soluciones de IA — patrones de un solo agente, múltiples agentes, uso de herramientas y orquestación — utilizando frameworks modernos y modelos de última generación., • Construir y optimizar componentes NLU/LLM: clasificación, NER, resumen, RAG sobre bases de conocimiento empresariales., • Diseñar prompts, esquemas de herramientas, ventanas de contexto y presupuestos de tokens para optimizar precisión, latencia y coste., • Desarrollar pipelines de datos y conocimiento para ingestión, limpieza, anonimización de datos personales (PII) y datasets de evaluación. Evaluación y calidad • Construir sistemas de evaluación (datasets offline, LLM como evaluador, suites de regresión, pruebas A/B) y tratar la evaluación como un entregable principal., • Impulsar la mejora continua mediante analítica conversacional, análisis de errores y de modos de fallo. LLMOps y operaciones • Implementar CI/CD para modelos y prompts, con feature flags, despliegues canary y rollback., • Rastrear experimentos, linaje y versiones de modelos/prompts., • Operar servicios en producción cumpliendo SLOs con monitorización, trazabilidad, alertas y gestión de incidentes. IA responsable • Aplicar salvaguardas prácticas frente a seguridad, sesgos, alucinaciones, inyección de prompts y jailbreaks., • Cumplir GDPR / LOPDGDD: consentimiento, minimización, retención, control de acceso y auditoría. Colaboración • Trabajar con diseñadores de conversación, ingenieros de software, científicos de datos, QA y operaciones., • Elaborar documentación clara (diseños, guías operativas) y comunicar avances a stakeholders. REQUISITOS: • Experiencia práctica en IA conversacional — voicebots, chatbots o asistentes virtuales — incluyendo flujos conversacionales, interacciones abiertas, NLU y IA generativa., • Experiencia en producción construyendo agentes con IA generativa: arquitecturas agentivas, RAG y orquestación., • Conocimiento de proveedores de LLM de vanguardia (Anthropic Claude, OpenAI, Google Gemini, Amazon Bedrock, Microsoft Azure AI) y criterio sobre cuándo usar cada uno., • Habilidades sólidas en prompt engineering y diseño de contexto, incluyendo prompts de sistema, outputs estructurados y grounding., • Mentalidad orientada a evaluación: mides la calidad con datasets, trazas y métricas., • Conocimiento de ética, sesgos y seguridad en IA, con experiencia mitigándolos en producción., • Optimización de tokens, latencia y coste como disciplina central., • Familiaridad con flujos de desarrollo asistido por IA (Claude Code, Copilot, Cursor, etc.)., • Bases sólidas de ingeniería de software: Python y/o JavaScript/Node, Git, IDEs, Agile., • Habilidades de cara al cliente: recogida de requisitos, diseño, validación y comunicación., • Nivel profesional de español e inglés. Deseable • Servicios cloud (principalmente AWS) y despliegue con Docker / Kubernetes., • Integraciones con contact centers (Genesys, Avaya, Cisco, Amazon Connect) y canales digitales / WhatsApp., • Experiencia con ASR/TTS y retos asociados a voz., • Modelos de reconocimiento y mejora continua en speech/NLU., • Observabilidad en sistemas LLM., • Conocimiento de estándares emergentes de interoperabilidad de agentes., • Experiencia con Microsoft Bot Framework, Genesys Dialog Engine o VXML., • Experiencia en consultoría evaluando bots y KPIs (contención, CSAT, AHT, transferencias). Se Ofrece: • Posición estable con contrato indefinido, • Plan de pensiones, • Trabajo remoto/flexible, • Seguro de vida, • Seguro médico, • 25 días de vacaciones pagadas al año, • Banda Salarial (45.000€ - 60.000€)

En Claire Joster somos especialistas en la búsqueda y selección de Perfiles cualificados de Mando Intermedio y Management en el ámbito tecnológico para las principales áreas funcionales y técnicas, con un valor añadido fundamental: la captación de talento, basada en valores y ajuste cultural de nuestros clientes y candidatos. Actualmente estamos buscando cubrir varios perfiles de Ingeniero/a de IA para importante cliente español con presencial internacional que se dedica a ofrecer soluciones tecnológicas para mejorar la experiencia del cliente, especialmente en entornos de centros de contacto. Esta persona se unirá al equipo de bots de atención al cliente / agentes de IA. MISIÓN DEL PUESTO: • Trabajarás de extremo a extremo a lo largo del ciclo de vida — descubrimiento, diseño, desarrollo, evaluación, despliegue y operación — creando soluciones robustas basadas en LLM/NLU, pipelines de conocimiento e integraciones a través de canales de voz y digitales, principalmente en español., • Este es un rol de ingeniería práctico para alguien con curiosidad sobre hacia dónde va la IA, cómodo llevando sistemas agentivos a producción, y con criterio para hacerlo de forma segura y rentable. RESPONSABILIDADES: Descubrimiento y diseño • Traducir necesidades de CX y negocio en diseños de soluciones de IA que abarquen NLU/LLM, RAG, ASR/TTS e integraciones de backend., • Definir requisitos funcionales y no funcionales: latencia, resiliencia, observabilidad, seguridad, coste por conversación. Implementación de agentes y modelos • Diseñar y construir soluciones de IA — patrones de un solo agente, múltiples agentes, uso de herramientas y orquestación — utilizando frameworks modernos y modelos de última generación., • Construir y optimizar componentes NLU/LLM: clasificación, NER, resumen, RAG sobre bases de conocimiento empresariales., • Diseñar prompts, esquemas de herramientas, ventanas de contexto y presupuestos de tokens para optimizar precisión, latencia y coste., • Desarrollar pipelines de datos y conocimiento para ingestión, limpieza, anonimización de datos personales (PII) y datasets de evaluación. Evaluación y calidad • Construir sistemas de evaluación (datasets offline, LLM como evaluador, suites de regresión, pruebas A/B) y tratar la evaluación como un entregable principal., • Impulsar la mejora continua mediante analítica conversacional, análisis de errores y de modos de fallo. LLMOps y operaciones • Implementar CI/CD para modelos y prompts, con feature flags, despliegues canary y rollback., • Rastrear experimentos, linaje y versiones de modelos/prompts., • Operar servicios en producción cumpliendo SLOs con monitorización, trazabilidad, alertas y gestión de incidentes. IA responsable • Aplicar salvaguardas prácticas frente a seguridad, sesgos, alucinaciones, inyección de prompts y jailbreaks., • Cumplir GDPR / LOPDGDD: consentimiento, minimización, retención, control de acceso y auditoría. Colaboración • Trabajar con diseñadores de conversación, ingenieros de software, científicos de datos, QA y operaciones., • Elaborar documentación clara (diseños, guías operativas) y comunicar avances a stakeholders. REQUISITOS: • Experiencia práctica en IA conversacional — voicebots, chatbots o asistentes virtuales — incluyendo flujos conversacionales, interacciones abiertas, NLU y IA generativa., • Experiencia en producción construyendo agentes con IA generativa: arquitecturas agentivas, RAG y orquestación., • Conocimiento de proveedores de LLM de vanguardia (Anthropic Claude, OpenAI, Google Gemini, Amazon Bedrock, Microsoft Azure AI) y criterio sobre cuándo usar cada uno., • Habilidades sólidas en prompt engineering y diseño de contexto, incluyendo prompts de sistema, outputs estructurados y grounding., • Mentalidad orientada a evaluación: mides la calidad con datasets, trazas y métricas., • Conocimiento de ética, sesgos y seguridad en IA, con experiencia mitigándolos en producción., • Optimización de tokens, latencia y coste como disciplina central., • Familiaridad con flujos de desarrollo asistido por IA (Claude Code, Copilot, Cursor, etc.)., • Bases sólidas de ingeniería de software: Python y/o JavaScript/Node, Git, IDEs, Agile., • Habilidades de cara al cliente: recogida de requisitos, diseño, validación y comunicación., • Nivel profesional de español e inglés. Deseable • Servicios cloud (principalmente AWS) y despliegue con Docker / Kubernetes., • Integraciones con contact centers (Genesys, Avaya, Cisco, Amazon Connect) y canales digitales / WhatsApp., • Experiencia con ASR/TTS y retos asociados a voz., • Modelos de reconocimiento y mejora continua en speech/NLU., • Observabilidad en sistemas LLM., • Conocimiento de estándares emergentes de interoperabilidad de agentes., • Experiencia con Microsoft Bot Framework, Genesys Dialog Engine o VXML., • Experiencia en consultoría evaluando bots y KPIs (contención, CSAT, AHT, transferencias). Se Ofrece: • Posición estable con contrato indefinido, • Plan de pensiones, • Trabajo remoto/flexible, • Seguro de vida, • Seguro médico, • 25 días de vacaciones pagadas al año, • Banda Salarial (45.000€ - 60.000€)

En Claire Joster somos especialistas en la búsqueda y selección de Perfiles cualificados de Mando Intermedio y Management en el ámbito tecnológico para las principales áreas funcionales y técnicas, con un valor añadido fundamental: la captación de talento, basada en valores y ajuste cultural de nuestros clientes y candidatos. Actualmente estamos buscando cubrir varios perfiles de Ingeniero/a de IA para importante cliente español con presencial internacional que se dedica a ofrecer soluciones tecnológicas para mejorar la experiencia del cliente, especialmente en entornos de centros de contacto. Esta persona se unirá al equipo de bots de atención al cliente / agentes de IA. MISIÓN DEL PUESTO: • Trabajarás de extremo a extremo a lo largo del ciclo de vida — descubrimiento, diseño, desarrollo, evaluación, despliegue y operación — creando soluciones robustas basadas en LLM/NLU, pipelines de conocimiento e integraciones a través de canales de voz y digitales, principalmente en español., • Este es un rol de ingeniería práctico para alguien con curiosidad sobre hacia dónde va la IA, cómodo llevando sistemas agentivos a producción, y con criterio para hacerlo de forma segura y rentable. RESPONSABILIDADES: Descubrimiento y diseño • Traducir necesidades de CX y negocio en diseños de soluciones de IA que abarquen NLU/LLM, RAG, ASR/TTS e integraciones de backend., • Definir requisitos funcionales y no funcionales: latencia, resiliencia, observabilidad, seguridad, coste por conversación. Implementación de agentes y modelos • Diseñar y construir soluciones de IA — patrones de un solo agente, múltiples agentes, uso de herramientas y orquestación — utilizando frameworks modernos y modelos de última generación., • Construir y optimizar componentes NLU/LLM: clasificación, NER, resumen, RAG sobre bases de conocimiento empresariales., • Diseñar prompts, esquemas de herramientas, ventanas de contexto y presupuestos de tokens para optimizar precisión, latencia y coste., • Desarrollar pipelines de datos y conocimiento para ingestión, limpieza, anonimización de datos personales (PII) y datasets de evaluación. Evaluación y calidad • Construir sistemas de evaluación (datasets offline, LLM como evaluador, suites de regresión, pruebas A/B) y tratar la evaluación como un entregable principal., • Impulsar la mejora continua mediante analítica conversacional, análisis de errores y de modos de fallo. LLMOps y operaciones • Implementar CI/CD para modelos y prompts, con feature flags, despliegues canary y rollback., • Rastrear experimentos, linaje y versiones de modelos/prompts., • Operar servicios en producción cumpliendo SLOs con monitorización, trazabilidad, alertas y gestión de incidentes. IA responsable • Aplicar salvaguardas prácticas frente a seguridad, sesgos, alucinaciones, inyección de prompts y jailbreaks., • Cumplir GDPR / LOPDGDD: consentimiento, minimización, retención, control de acceso y auditoría. Colaboración • Trabajar con diseñadores de conversación, ingenieros de software, científicos de datos, QA y operaciones., • Elaborar documentación clara (diseños, guías operativas) y comunicar avances a stakeholders. REQUISITOS: • Experiencia práctica en IA conversacional — voicebots, chatbots o asistentes virtuales — incluyendo flujos conversacionales, interacciones abiertas, NLU y IA generativa., • Experiencia en producción construyendo agentes con IA generativa: arquitecturas agentivas, RAG y orquestación., • Conocimiento de proveedores de LLM de vanguardia (Anthropic Claude, OpenAI, Google Gemini, Amazon Bedrock, Microsoft Azure AI) y criterio sobre cuándo usar cada uno., • Habilidades sólidas en prompt engineering y diseño de contexto, incluyendo prompts de sistema, outputs estructurados y grounding., • Mentalidad orientada a evaluación: mides la calidad con datasets, trazas y métricas., • Conocimiento de ética, sesgos y seguridad en IA, con experiencia mitigándolos en producción., • Optimización de tokens, latencia y coste como disciplina central., • Familiaridad con flujos de desarrollo asistido por IA (Claude Code, Copilot, Cursor, etc.)., • Bases sólidas de ingeniería de software: Python y/o JavaScript/Node, Git, IDEs, Agile., • Habilidades de cara al cliente: recogida de requisitos, diseño, validación y comunicación., • Nivel profesional de español e inglés. Deseable • Servicios cloud (principalmente AWS) y despliegue con Docker / Kubernetes., • Integraciones con contact centers (Genesys, Avaya, Cisco, Amazon Connect) y canales digitales / WhatsApp., • Experiencia con ASR/TTS y retos asociados a voz., • Modelos de reconocimiento y mejora continua en speech/NLU., • Observabilidad en sistemas LLM., • Conocimiento de estándares emergentes de interoperabilidad de agentes., • Experiencia con Microsoft Bot Framework, Genesys Dialog Engine o VXML., • Experiencia en consultoría evaluando bots y KPIs (contención, CSAT, AHT, transferencias). Se Ofrece: • Posición estable con contrato indefinido, • Plan de pensiones, • Trabajo remoto/flexible, • Seguro de vida, • Seguro médico, • 25 días de vacaciones pagadas al año, • Banda Salarial (45.000€ - 60.000€)

Senior Backend Engineer Cualquier información adicional que necesite para este trabajo se encuentra en el texto a continuación. Asegúrese de leerla detenidamente y luego envíe su solicitud. You will design and build scalable middleware services powering digital ordering, payments, loyalty, and third‑party integrations across a major consumer platform. You will develop serverless applications using AWS Lambda and API Gateway, build Node.js/TypeScript microservices, design event‑driven architectures with SQS/SNS, and implement infrastructure as code with Terraform. The role includes active use of AI‑assisted development tools as a core part of the daily engineering workflow. WHAT YOU WILL DO • Develop serverless applications using AWS Lambda and API Gateway., • Build and maintain Node.js/TypeScript microservices., • Build infrastructure as code using Terraform., • Leverage AI‑assisted development tools (GitHub Copilot, Claude, and similar) as a core part of daily engineering work — from code generation and refactoring to test coverage and documentation. Champion AI tooling adoption across the team., • Create integrations with delivery providers and payment platforms., • Collaborate with business stakeholders and product teams to understand functional and technical requirements; translate those into scalable, maintainable architecture and implementation plans., • Conduct constructive code reviews and provide technical design guidance to peers and junior engineers, raising the overall quality and consistency of team output., • Enforce data governance, security policies, and compliance standards throughout the software development lifecycle., • Implement secure authentication and identity flows using Amazon Cognito. MUST HAVES • 4+ years of backend development experience., • Demonstrated experience building and operating RESTful and/or GraphQL APIs at scale., • Experience with serverless architectures on AWS (Lambda, API Gateway, DynamoDB, SQS/SNS)., • Experience with CI/CD pipelines and source control workflows (Git, GitHub Actions, Azure DevOps)., • Familiarity with Infrastructure as Code (Terraform or CloudFormation)., • Solid understanding of integration patterns: event‑driven architecture, webhooks, async messaging, and pub/sub., • Experience integrating with third‑party platforms and vendor APIs (e.g., delivery aggregators, POS systems, loyalty platforms, or similar ecosystem partners)., • Ability to translate ambiguous business requirements into clear technical specifications., • Collaborative mindset with a willingness to give and receive candid code review feedback., • Strong debugging, root‑cause analysis, and production incident management skills. NICE TO HAVES • DoorDash, Uber Eats, or similar delivery integrations., • Restaurant, retail, or QSR experience., • Experience with multi‑region AWS deployments and global traffic management (Akamai, CloudFront)., • Familiarity with identity and authentication patterns: OAuth 2.0, OpenID Connect, AWS Cognito., • Hands‑on experience with observability platforms (Dynatrace, Datadog, CloudWatch)., • Experience prompting, fine‑tuning, or orchestrating LLMs/AI agents as part of a software delivery workflow., • Experience in QSR, retail, or e‑commerce domains., • AWS Certified Developer – Associate or higher., • Exposure to React Native or cross‑platform mobile app integration patterns. PERKS AND BENEFITS • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: USD‑based pay with education, fitness, and team activity budgets., • Exciting projects: Modern solutions with Fortune 500 and top product companies. xcskxlj, • Flextime: Flexible schedule with remote and office options. #J-18808-Ljbffr

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