Descripción de la oferta
You will join a team building next-generation AI-powered products based on Large Language Models. The project focuses on transforming LLM prototypes into scalable, secure, and production-grade systems. The role covers the full AI lifecycle – from architecture and backend development to infrastructure, monitoring, and cost optimisation.¿Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a continuación y pulse en "solicitar" para ser considerado. Your responsibilities:Build and maintain production-grade LLM systems (including RAG, semantic search, embeddings, vector databases).Design and develop APIs and microservices in Python (e.g. FastAPI).Develop and maintain CI/CD pipelines for models (LLMOps/MLOps).Deploy and manage infrastructure in AWS (Lambda, ECS/EKS, S3, API Gateway, CloudWatch).Implement containerisation (Docker) and orchestration (Kubernetes).Monitor model quality (latency, drift, hallucinations, cost efficiency).Collaborate closely with Data Science, ML, Data Engineering and Product teams. Our requirements:Strong Python skills with experience building production APIs.Hands-on experience deploying LLM-based systems in production.Practical knowledge of RAG, embeddings, vector databases, and semantic search.Experience with AWS and scalable backend system design.Solid understanding of Docker, Kubernetes and CI/CD.Proven ability to move from PoC to stable production solutions.Preferred Qualifications:Experience with multimodal models (text, image, video).Familiarity with LLMOps/MLOps tooling and evaluation frameworks.Experience optimising inference performance and managing AI costs at scale.Background in product-led or data-driven organisations. What we offer:Opportunity to work on advanced AI systems with real product impact.Strong influence on architecture and technology decisions. xcskxlj Collaboration with an experienced Data & AI team in an international environment.Flexible and remote-friendly working modeHealth and wellbeing benefits
