Role Description Este es un puesto de trabajo remoto. ¿Te apasiona la inteligencia artificial y sueñas con dejar huella en proyectos de alto impacto real? Esta no es una oportunidad más: aquí vas a diseñar y construir el núcleo de la IA que impulsará el futuro de una compañía líder globalmente. Forma parte de una organización internacional con espíritu innovador, tecnología puntera y equipos multidisciplinares repartidos por toda Europa. Su visión: potenciar la excelencia técnica y transformar procesos internos a través de la IA generativa y los últimos avances en tecnología Microsoft. Crecen aceleradamente, apuestan por la autonomía, la colaboración entre expertos y la evolución constante. El entorno ideal para una mente inquieta y técnica que aspira a marcar la diferencia. Buscamos a un arquitecto o ingeniero senior de IA con un perfil técnico, hands-on y mente estratégica. Tu reto será liderar la internalización de soluciones avanzadas de IA generativa y orquestar LLMs ajustados a los retos del propio negocio, eliminando la dependencia de consultoras externas. Te sumergirás en proyectos donde la innovación se impone, con pipeline abundante y foco en calidad, excelencia técnica y soluciones orientadas a negocio. Trabajarás mano a mano con expertos en datos, IA y negocio en un ambiente internacional y colaborativo, reportando directamente al Head of Data & AI, y con potencial de evolucionar a team lead. Responsibilities - Diseñar y construir arquitecturas de IA generativa y LLMs personalizadas end-to-end, sobre el ecosistema Microsoft (Power Platform, Dataverse, Azure, Fabric...). - Evaluar la viabilidad técnica de los casos de uso y trazar la hoja de ruta tecnológica junto a equipos de negocio y datos. - Desarrollar, adaptar y poner en producción soluciones avanzadas de IA, ajustando y afinando modelos existentes sobre datos propios (fine-tuning, retraining). - Integrar la IA con sistemas empresariales y plataformas de datos, impulsando la adopción cross-functional. - Colaborar de forma activa y directa con equipos internacionales (España, Suiza, Alemania) y multidisciplinares, aportando visión técnica y de producto. - Ser referente técnico y hands-on, sin perder de vista la posible evolución a team lead en el futuro próximo. Qualifications - Experiencia probada (5+ años) en desarrollo y arquitectura de soluciones de IA generativa y LLMs, preferentemente sobre tecnologías Microsoft. - Sólido background en data engineering, arquitectura de datos y software engineering. - Dominio de herramientas como Power Platform, Copilot, Fabric, Azure AI, Dataverse, Cowork, etc. - Capacidad práctica para adaptar, ajustar y mejorar modelos existentes: fine-tuning, retraining y customización real sobre datos propios. - Experiencia en integración de IA con plataformas empresariales y ecosistemas complejos. - Orientación a la excelencia técnica: código limpio, escalabilidad, despliegue en producción y visión de producto. - Habilidad para trabajar en entornos cambiantes, multidisciplinares e internacionales de alta exigencia. - Nivel de inglés fluido (mínimo C1). - Mentalidad autónoma, colaborativa y orientada a resultados. - Se valorará experiencia en consultoría con proyectos end-to-end, aunque se prioriza perfil de producto. Benefits - Trabajo 100% remoto desde cualquier punto de España, o presencialidad opcional en Barcelona (mínimo una vez cada dos semanas si resides en la ciudad). - Reuniones de equipo presenciales 2-3 veces al año en Barcelona, Suiza o Alemania. - Flexibilidad total para conciliar tu vida personal y profesional. - Entorno internacional con equipos de alto nivel técnico y colaborativo. - Participación en proyectos estratégicos clave para el futuro de la compañía. - Desarrollo profesional y posibilidad real de evolucionar a team lead. - Impacto tangible y autonomía sobre las soluciones implementadas.

Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street. We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters. We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission As an AI Engineer, you will help build and scale AI-powered products that directly improve how our customers interact with our platform and how our teams operate. You’ll join our AI Research & Development team focused on creating intelligent systems where AI is core to the experience — including customer onboarding and due diligence, risk and fraud monitoring, pricing and customer lifetime value optimisation, customer support automation, and AI-assisted software development. You’ll work across machine learning, generative AI, data, and software engineering to design, build, and productionise AI solutions that are reliable, scalable, measurable, and impactful. This role requires a strong engineering mindset, the ability to translate business problems into AI solutions, and the curiosity to explore how emerging AI capabilities can create real value. As a Senior AI Engineer at Teya, you will be expected to: - Design, develop, and deploy AI-powered features and services that solve real customer and business challenges. - Build and integrate AI systems using modern approaches including LLMs, generative AI, machine learning models, retrieval-augmented generation (RAG), agents, and automation workflows. - Work closely with product managers, engineers, data scientists, and domain experts to identify opportunities where AI can improve outcomes. - Develop production-grade AI solutions with strong focus on quality, scalability, observability, security, and responsible AI practices. - Evaluate AI models and solutions through experimentation, benchmarking, and continuous improvement. - Build data pipelines, model integrations, APIs, and services that enable AI capabilities across products. - Improve AI reliability through techniques such as prompt engineering, model evaluation, monitoring, guardrails, and feedback loops. - Contribute to AI engineering standards, best practices, and reusable frameworks across teams. - Stay current with developments in AI and identify opportunities to apply new technologies effectively. Requirements: - Strong software engineering experience with proficiency in one or more programming languages such as Python and Java - Experience building and deploying production software systems. - Hands-on experience developing AI/ML-powered applications or integrating AI models into products. - Understanding of modern AI concepts including: - Large Language Models (LLMs) - Generative AI applications - Prompt engineering - Model evaluation and optimisation - Embeddings and vector search - Retrieval-Augmented Generation (RAG) - AI agents and workflow automation - Experience working with AI/ML tooling and frameworks such as OpenAI APIs, LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or similar. - Experience working with cloud platforms and modern engineering practices (CI/CD, APIs, monitoring, infrastructure as code). - Strong understanding of software engineering principles including testing, maintainability, scalability, and system design. - Ability to communicate technical concepts clearly to both technical and non-technical audiences. Nice to have: - Experience building AI solutions in regulated industries such as payments, fintech, banking, risk, compliance, or fraud prevention. - Experience with AI use cases such as: - Document intelligence and extraction - Customer support automation - Fraud detection and anomaly detection - Decisioning systems - Personalisation and recommendation systems - Developer productivity tools - Experience designing AI platforms, reusable AI infrastructure, or internal AI tooling. - Knowledge of ML operations (MLOps), model lifecycle management, monitoring, and governance. - Experience evaluating LLM applications for quality, safety, latency, and cost. - Familiarity with data engineering concepts, analytics platforms, and experimentation frameworks. - Contributions to AI communities, open-source projects, research, or technical writing. Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.

Requisition Number: 2372810 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are redefining how clinical teams work by embedding AI directly into Utilization Management (UM) and Care Management (CM) workflows - where decisions impact real patients every day. Our team partners closely with clinical leaders, business stakeholders, and operations teams to identify high value pain points and turn them into scalable, production ready AI solutions that improve efficiency, quality, and clinician experience. This is not a research only or sandbox AI role. Our solutions are actively deployed within clinical workflows, helping nurses, care managers, and clinicians spend less time on manual, administrative effort and more time delivering care. From intelligent case summarization to workflow automation and decision support, we focus on pragmatic AI that delivers measurable impact at scale. As a Lead AI/ML Engineer, you will drive end to end ownership - shaping problem statements with the business, designing and implementing AI/ML solutions, and ensuring they integrate seamlessly into existing platforms and workflows. You will influence technical direction, mentor other engineers, and play a key role in operationalizing AI responsibly within a regulated healthcare environment. If you're excited about using AI to solve real clinical problems, enjoy working closely with cross functional partners, and want your work to directly improve how care is delivered to patients, this role offers a rare opportunity to do exactly that. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design, develop, and maintain full stack applications using Next.js, React, and modern TypeScript patterns - Build and integrate LLM powered capabilities (e.g., summarization, search, assistants, decision support) using industry standard AI frameworks and APIs - Design and optimize backend services and APIs, ensuring scalability, reliability, and security - Develop and manage data models and queries using PostgreSQL, focusing on performance and data integrity - Deploy, monitor, and operate applications on Microsoft Azure (App Services, Containers, Functions, Storage, AI services, etc.) - Implement best practices for cloud architecture, CI/CD pipelines, observability, and cost optimization - Collaborate with architects and AI engineers on system design, model integration, and platform capabilities - Write clean, testable, and well documented code; lead by example in code reviews and technical standards - Mentor junior engineers and contribute to technical decision making and solution direction You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's degree in Computer Science (or related field) or 4+ years of equivalent software engineering experience - 7+ years of professional software engineering experience, including full stack development - 3+ years of experience with CI/CD pipelines, automated testing, and cloud native deployment models - 3+ years of experience with Next.js / React, TypeScript, and modern frontend architectures - 3+ years of backend development experience with Node.js (or equivalent server side frameworks) - 3+ years of experience working with PostgreSQL or other relational databases - 3+ years of experience building and deploying applications on Microsoft Azure - 3+ years of experience working with RESTful APIs, authentication/authorization, and secure application design - 2+ years of experience integrating AI/LLMs into applications (prompting, orchestration, APIs, etc.) Preferred Qualification: - Proven excellent problem solving skills and ability to work across ambiguous problem spaces *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #OptumTechPJ

• Build agentic workflows – Design and ship internal agents -or entire orchestrated agentic workflows- on Claude for research, account briefs, objection prep, content drafting, and named-account monitoring – or any other use case we consider valuable. • Build the data model – Stand up a warehouse-backed marketing data model (e.g., Snowflake) that stitches all data sources into one source of truth. • Ship the GTM/Marketing dashboards – Build and maintain the weekly data dashboards that the CEO, Head of Marketing and Head of Sales read in under five minutes. • Integrate the intelligence stack – Wire up product marketing to ABM, campaigns to execution, GTM strategy to pipeline. • Be the force multiplier – Give every other hire – product marketing, integrated growth, community – the data, tooling, and automation they need to move faster. • Keep it compliant and observable – Build inside carrier compliance norms and make the system’s health and pipeline legible at a glance.