Role Description Join our innovative team and help us in shaping the future of Technology! - Design, develop, and deploy AI/ML solutions to modernize core pharmacy platforms, with a focus on scalability, reliability, performance, and security - Leverage Generative AI, LLMs, and agentic AI frameworks to automate and enhance pharmacy workflows and decision-making processes - Collaborate with business and technical stakeholders to understand pharmacy domain requirements and translate them into robust AI/ML-driven technical solutions - Contribute to architecture and technical design of AI/ML pipelines, including model selection, data integration, and deployment patterns - Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes - Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML engineering practices - Partner with cross-functional teams including data scientists, product managers, platform engineers, and pharmacy domain experts - Translate legacy system modernization needs into scalable AI applications that enhance products, workflows, and operational efficiency - Monitor and optimize AI/ML model performance, resource utilization, and platform reliability - Collaborate with DevOps and infrastructure teams to ensure secure, scalable deployment and operations of AI/ML solutions - Stay current with advancements in AI/ML frameworks, Generative AI, LLMs, and pharmacy technology modernization Qualifications - 5+ years of experience as a software engineer or AI/ML engineer delivering cloud-based solutions - 5+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud - 5+ years of programming experience in Python, Golang, JavaScript, or Java - 3+ years of hands-on experience with AI/ML frameworks, model development, and deployment - 3+ years of hands-on experience with Generative AI, LLMs, and agentic AI solutions - Experience building distributed systems and cloud-native AI/ML applications - 1+ years of experience with security and compliance in cloud environments - Strong problem-solving and analytical skills with the ability to propose innovative AI/ML solutions - Excellent communication and collaboration skills across technical and non-technical teams Company Description VXForward is a leading technology solutions provider that helps to create a business value with innovative and cost-effective services across different industries. - Exciting Projects, Meaningful Impact - Continuous Learning and Growth - State-of-the-Art Technologies - Collaborative Team Environment - Make a Real Difference - Work-Life Balance

Role Description As a Senior AI Engineer, you will bridge the gap between experimentation and enterprise-grade delivery. You will work closely with product teams to embed AI into core insurance processes, with a strong focus on claims management. This is a hands-on role for someone who enjoys building, testing, and scaling real solutions. - Design and integrate AI capabilities into SAP-based enterprise applications - Build prototypes and evolve them into scalable, production-ready features - Develop cloud-native applications using ABAP Cloud on SAP Business Technology Platform (BTP) - Contribute to the digital transformation of insurance processes, particularly claims management - Collaborate in customer workshops and explain technical concepts clearly and effectively - Proven experience integrating large language models (LLMs) into enterprise applications - Hands-on experience with frameworks such as LangChain, LangGraph or similar tools for orchestration and AI workflows - Solid understanding of retrieval-augmented generation (RAG) or comparable approaches for enterprise AI solutions - Experience building and scaling applications from prototype to product - Strong German and English communication skills (professional proficiency, minimum C1 level) Qualifications - Proven experience integrating large language models (LLMs) into enterprise applications - Hands-on experience with frameworks such as LangChain, LangGraph or similar tools for orchestration and AI workflows - Solid understanding of retrieval-augmented generation (RAG) or comparable approaches for enterprise AI solutions - Experience building and scaling applications from prototype to product - Strong German and English communication skills (professional proficiency, minimum C1 level) Benefits - Flexible work environment that encourages creativity - Competitive compensation packages - Progression opportunities based on merit - Occupational pension provisions - Support for health and wellbeing - Various mobility options like bike leasing and transportation allowances - Celebration rewards - Meal programs - Jubilee recognition - Relocation reimbursement

Role Description Estamos en búsqueda de un/a AI Full Stack Engineer – Document Intelligence. Buscamos un perfil técnico con experiencia en desarrollo e industrialización de soluciones de Inteligencia Artificial para procesamiento documental, capaz de conectar ciencia de datos, ingeniería de software y operaciones para construir aplicaciones de IA escalables y listas para producción. La posición formará parte de un equipo especializado en IA Generativa y Agentic AI, desarrollando capacidades avanzadas de extracción, clasificación, análisis y explotación de documentos dentro de un entorno bancario empresarial. - Diseñar, desarrollar y mantener aplicaciones de IA enfocadas en procesamiento documental e inteligencia documental. - Implementar soluciones basadas en NLP, OCR, embeddings, clasificación de texto, similitud semántica y extracción de información. - Desarrollar y mantener APIs asociadas a capacidades de IA y Machine Learning. - Desplegar, monitorizar y mantener aplicaciones productivas en entornos Kubernetes. - Participar en la construcción y evolución de pipelines CI/CD. - Aplicar buenas prácticas de testing, calidad de código y seguridad. - Colaborar estrechamente con Data Scientists, Product Owners, CTOs y equipos de ingeniería. - Contribuir a la industrialización y escalabilidad de soluciones de IA Generativa y Agentic AI. Qualifications - Alrededor de 4 años de experiencia desarrollando y manteniendo aplicaciones productivas con componentes de IA. - Experiencia sólida en Python y SQL. - Experiencia desplegando aplicaciones en Kubernetes. - Desarrollo de APIs para servicios de IA y Machine Learning. - Conocimiento de Git y procesos CI/CD. - Experiencia con herramientas de calidad, testing y seguridad como Pytest, Sonar, Fortify o similares. - Conocimientos prácticos de NLP: tokenización, embeddings, clasificación de texto y similitud semántica. - Experiencia con IA Generativa, LLMOps y arquitecturas basadas en agentes. - Experiencia con frameworks como LangGraph, LangChain, CrewAI, MCP o similares. - Experiencia en aprendizaje supervisado y no supervisado aplicado a casos reales. - Experiencia práctica en OCR y procesamiento documental. Requirements - Muy valorable: - Experiencia diseñando e implementando procesos ETL con Python y Spark. - Experiencia con Airflow, Control-M u otras herramientas de orquestación. - Experiencia en AWS (especialmente Step Functions) y/o Azure Functions. - Conocimientos de Infraestructura como Código (Terraform). - Experiencia con MLflow o Kubeflow. - Experiencia en Databricks o Cloudera. - Conocimiento de Kafka o tecnologías de streaming. - Experiencia con Kibana, Dynatrace o herramientas de observabilidad. - Conocimiento de ElasticSearch, MongoDB, PostgreSQL, Starburst o S3. - Experiencia en soluciones RAG y chatbots basados en IA Generativa. - Conocimientos de JavaScript, TypeScript o C++. - Experiencia con optimización matemática y motores como Gurobi, CPLEX, CBC o Pyomo. - Conocimiento de herramientas BI como Power BI. Benefits - Contrato indefinido con salario competitivo. - Modalidad 100% remota. - Plan de carrera personalizado y formación continua. - Participación en proyectos innovadores de IA Generativa y Agentic AI. - Entorno internacional y colaboración con equipos globales. - Flexibilidad horaria y enfoque en la conciliación. - Beneficios sociales adaptados a tus necesidades.

• Architect and own the MCP server ecosystem across Bio-Tech / Healthcare enterprise application portfolio • Build production-grade MCP servers in TypeScript and Python with OAuth 2.0, RBAC, and audit logging • Define tool schemas, versioning standards, and multi-agent orchestration patterns • Integrate MCP servers with SAP, Salesforce, D365, Smartsheet, Jira, Microsoft Graph API, and other business applications as per business need • Design the tool invocation and RBAC model for AI virtual employees and internal copilot personas • Align architecture with Bio-Tech / Healthcare AI Security Reference Architecture and EU AI Act compliance (Aug 2026) • Maintain an MCP server registry and contribute to internal Claude AI Launchpad enablement • Mentor AI & Automation Developers on MCP patterns and agentic integration best practices