AI Architect (Generative AI & LLMs) – Remote (Spain) | FinTechPresente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.Role OverviewA hands‑on architecture position focused on designing and scaling production‑grade AI systems. You’ll define LLM architecture, guide agentic implementations, and set best practices for AI adoption across engineering teams.Key Experience7+ years with Python and modern AI/ML systemsStrong experience with LLM frameworks (e.g. LangChain, LlamaIndex)Deep understanding of prompt engineering and agentic patternsDocker/Kubernetes and cloud (AWS/Azure/GCP)Strong DevOps mindset and communication skillsHigh‑impact role shaping AI strategy within a fast‑scaling general environment.AI Engineer (Generative AI & Agentic Systems) – 100% RemoteRole OverviewWe are looking for a hands‑on AI Engineer to join a fast‑growing, international tech company and work on cutting‑edge generative AI solutions and intelligent agentic systems. This is not a research role — we’re looking for someone who builds, deploys, and scales real AI products.What you’ll doDesign and build end‑to‑end generative AI solutionsDevelop AI agents and RAG (Retrieval‑Augmented Generation) pipelinesWork closely with cross‑functional teams to deliver scalable AI systemsBuild and validate PoCs and production‑ready solutionsStay up to date with the latest trends in GenAI and agentic frameworksWhat we’re looking for3+ years of experience in Applied AI / Machine Learning (industry)Strong background in Software Engineering (Python preferred)Experience with cloud platforms (AWS, GCP, or Azure)Strong communication skills and a builder mindsetNice to haveExperience with Vertex AI, Gemini, or similar toolsKnowledge of evaluation frameworks (RAGAs, LangSmith)Experience with Docker / KubernetesFamiliarity with CI/CD and MLOps practicesWhat we offer100% remote within EuropeFlexible working modelInternational and collaborative environmentCareer growth and continuous learning opportunitiesSalary: Competitive, depending on experienceSenior AI Engineer (Chatbot Developer) – 100% Remote (Spain)Role OverviewLead and empower a multicultural team to build conversational AI solutions. Requirements include 5+ years in a similar technical role and experience with Azure, GCP, Python, and agentic AI frameworks.Key ResponsibilitiesPartner with Enterprise Architecture and IT to develop a scalable AI platform strategy.Continuously review new LLMs and AI technologies to enhance underlying business cases.Collaborate with Global Business Stakeholders and Product Owners to build a pipeline of conversational AI opportunities.Oversee technical governance, IT security (SecOps), and ensure all activities align with ethical AI principles.Develop and maintain agent logic using frameworks like Google ADK and Agent2Agent.Lead successful POCs and pilots to demonstrate technology fit and migrate legacy flows.Build reusable modules and integrate tools/APIs with focus on schema definition, error handling, and robustness.Define testing strategies and ensure system health through logging, telemetry, and monitoring.Requirements5+ years in AI Engineering / Software Architecture.Proven experience with Azure and GCP.Strong Python programming skills and solid software engineering fundamentals.Hands‑on experience with Agentic AI and Agentic Frameworks (preferably Google ADK).Excellent English skills (written and spoken).Deep knowledge of LLMs and Generative AI.Familiarity with production‑grade security, data handling, and compliance best practices.PreferredExperience with Chatbots and Voicebots.Location: 100% Remote (Spanish residents only)Schedule: Flexible, intensive FridaysLanguages: English C1 / Spanish C1 (mandatory)Salary: Up to €95,000Requirements: Bachelor’s or Master’s degree in Computer Science or related field.AI Technical Lead – Remote (Spain) | Global FinTechRole OverviewLead technical strategy for AI, designing, implementing, and deploying ML solutions in a fintech environment.Key ResponsibilitiesProven experience designing, implementing, and deploying ML solutions.Hands‑on knowledge of LLMs and NLP.Strong written and verbal communication skills.Practical experience in building and deploying microservices at scale.Solid understanding of data architectures.Mentoring engineers and fostering continuous learning.Cloud platform experience (AWS, GCP).Payments or financial systems experience a plus.3‑stage interview process! xcskxlj #J-18808-LjbffrHay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.