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React/node ai fullstack engineer (llm

Santander (39080)
Hays
Publicada el 19 mayo
Descripción

Your New Company One of Europe's leading consumer electronics retailers is looking for a new developer to join the chat and voicebot development project for the webshop. Your New Role You take on a responsible role in the development of our Customer & Marketing web applications and the associated backend services. You play a key role in defining requirements and solution approaches in close collaboration with the Product Owners. Together with your team, you are responsible for the team's services and applications, ensuring both maintenance and operation within our cloud infrastructure. Continuous improvement is important to you. You enjoy sharing your knowledge with your colleagues and contribute to the development of the entire team. You work on the integration and connection of Large Language Models (LLMs). You use frameworks such as Lang Chain to develop innovative (generative) AI solutions. You will work with: Infrastructure: Terraform, Kubernetes, Git Ops with Flux, Git Hub Actions (CI/CD), Docker Google Cloud products: Dialogflow CX, Cloud Storage, Big Query, GKE (Kubernetes), Cloud SQL, Vertex AI What You Need to Succeed in the Role You have at least 4 years of professional experience as a Frontend or Full‐Stack Engineer. You have already developed and operated your own applications, ideally in e‐commerce environments. SPAs are your first choice when implementing applications with React and the latest Type Script standards. If working as a Full‐Stack Engineer, backend experience with Node.Js is expected. Application quality is important to you. You rely on Type Script and prefer to test every line of code. You have experience with No SQL databases (such as Mongo DB). You also have experience with relational databases (Postgre SQL). Continuous Delivery and cloud infrastructure are familiar concepts to you. You prefer to combine this knowledge with microservices architectures. Ideally, you already have some initial experience with services such as Google Dialogflow. You have experience integrating and using Large Language Models (LLMs). You are familiar with frameworks such as Lang Chain. You are used to working in agile environments. High level of spoken English, Spanish is not mandatory What You Will Get in Return Permanent contract directly with the end company. Annual gross salary in line with your experience. Flexible working hours. 4 days of remote work per week. Offices in Barceloneta or El Prat de Llobregat. 27 days of vacation per year. Training budget. Professional development plan.

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