Senior AI Engineer at ESW

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, LLM Development, Python, API Development, Azure, DevOps, MLOps, Kubernetes, CosmosDB, Kafka, Containerization, Monitoring, Collaboration, Automation, Infrastructure-as-Code, Vector Databases

Industry

Software Development

Description

The Opportunity We are seeking a skilled and motivated Senior AI Engineer to join ESW’s AI Autonomous Product Group (APG). This role offers a unique opportunity to work at the intersection of applied AI and scalable cloud engineering, helping turn generative AI into real-world automation for customer service, onboarding, payments, and operations. You will build and deploy advanced LLM-powered systems using tools like OpenAI, Claude, and Azure OpenAI, while embedding those systems into our enterprise Azure platform using technologies such as .NET, CosmosDB, Kubernetes, and Kafka. You’ll own everything from prompt orchestration and inference to DevOps and production monitoring. Responsibilities LLM System Development & Orchestration Design and implement workflows using LLMs (e.g. OpenAI, Claude, Mistral, Azure OpenAI) for agentic automation and RAG (retrieval-augmented generation) use cases Build orchestration pipelines to chain prompts, manage tool use, and handle fallbacks or escalations Use vector databases (e.g. FAISS, Weaviate, Chroma, Azure Cognitive Search) to power RAG pipelines and semantic search Design and implement scalable AI/ML models for classification, prediction, recommendation, and optimization tasks Enterprise Integration & API Architecture Integrate AI workflows with ESW’s backend systems and APIs (.NET microservices, CosmosDB, Kafka eventing) Build scalable APIs and services that expose LLM capabilities securely Collaborate with platform engineers to deploy containerized services via Kubernetes and Azure Functions Deployment, Monitoring & CI/CD Automate build and deployment pipelines using GitHub Actions, Azure DevOps, or similar tooling Implement monitoring, logging, and tracing (e.g. Application Insights, Prometheus, Grafana) for all AI services Apply DevOps best practices including versioning, rollback strategies, and infrastructure-as-code (Terraform/Bicep) Ensure traceability and auditability of agent decisions and model outputs Cross-functional Collaboration Work with data scientists to take models from prototype to production Partner with product teams to design, test, and deliver user-centric solutions Contribute reusable tooling and documentation for broader AI adoption across the company Requirements Experience 3+ years of experience in backend, AI/ML, or platform engineering Consistent record of delivering production-grade AI or LLM-enabled systems Experience working on customer service, ecommerce, or process automation solutions is a plus Technical Proficiency Proficiency in Python and backend API development Familiar with orchestration frameworks (e.g. LangChain, LlamaIndex, or custom tools) Hands-on experience using LLM APIs such as OpenAI, Claude, Mistral, or Azure OpenAI Knowledge of vector databases and embedding pipelines (e.g. FAISS, Weaviate, Azure Cognitive Search) Azure Platform Experience Familiar with ESW’s core Azure technologies: .NET microservices CosmosDB Apache Kafka Kubernetes (AKS) Azure Functions, Blob Storage, App Services DevOps & MLOps Experience building and managing CI/CD pipelines Containerization with Docker, deployment with Kubernetes Infrastructure-as-code using Bicep, Terraform, or ARM templates Exposure to AI/ML monitoring, version control, and audit mechanisms Soft Skills Strong communicator who can collaborate across technical and non-technical teams Self-motivated and comfortable working in agile, iterative environments Growth mindset with a keen interest in staying ahead of AI trends and tools About ESW Our purpose is simple: to create moments that matter between people and the brands they cherish. We enable brands to expand their global reach, facilitating simple and seamless ecommerce experiences for consumers worldwide. Through our integration solutions, we deliver a complete international checkout experience, including local duties, taxes, fulfilment, delivery management, and global returns and payment processing capabilities. Guided by our values - Own It, Champion Simplicity, Win as One, and Debate then Commit - we strive to foster innovation, accountability, and teamwork, creating solutions that inspire trust and drive impactful results. Why join us? Competitive salary and benefits: Your financial well being is important to us. Join ESW and experience the satisfaction of being rewarded for your hard work, dedication and commitment. Professional and personal development: Find your spark and leave your mark. We will ensure your talent is nurtured and cultivated for growth and success throughout your career with ESW. Hybrid Working: Our Hybrid Working Model empowers you to embrace the flexibility of hybrid working and enjoy the best of office and remote work. Diversity, Belonging & Inclusion: When we win, we win together. You'll be part of a culture that values every individual for who they are, fostering an environment where uniqueness is encouraged. ESW is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at ESW are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. If you require any reasonable accommodations or adjustments throughout the hiring process, please let us know. We are dedicated to ensuring equal access and opportunity for all candidates. #LI-hybrid #LI-AL1

Responsibilities

The Senior AI Engineer will design and implement workflows using LLMs for automation and build orchestration pipelines. They will also integrate AI workflows with backend systems and ensure the deployment and monitoring of AI services.