Descripción de la oferta
We're partnering with a fast-growing consumer technology business that is leveraging cutting-edge AI to transform how millions of users learn, engage, and interact with digital products worldwide.This is an opportunity to join a highly ambitious AI team at a pivotal stage of growth, helping shape the next generation of intelligent, personalised user experiences. You'll be working on real-world, large-scale AI challenges, building production-ready systems that directly impact millions of users globally.The OpportunityAs a Senior Machine Learning / AI Engineer, you'll take ownership of designing and deploying advanced AI systems, helping drive the company's AI strategy while working closely with product, data, and engineering teams.This is a hands-on role for someone who enjoys moving between research, experimentation, and production, and wants to work on some of the most exciting developments in agentic AI, LLMs, and personalisation.What You'll Be DoingDesigning, building, and scaling production-grade agentic AI systemsDeveloping multi-agent workflows using frameworks such as LangChain and LangGraphArchitecting and deploying LLM-powered applications using RAG, vector databases, and prompt engineering techniquesBuilding intelligent systems that can reason, plan, and act autonomouslyTaking ML models from experimentation through to production deployment and monitoringDriving improvements across AI infrastructure, tooling, and development workflowsCollaborating closely with Product, Engineering, Data Science, and Design teams to deliver impactful AI-driven experiencesEvaluating emerging AI technologies and helping shape technical strategy across the organisationContributing to best practices around AI engineering, experimentation, and model evaluationWhat We're Looking ForStrong experience in Machine Learning, AI Engineering, or Applied AI rolesExcellent Python software engineering skillsProven experience building and deploying LLM-powered applications in productionHands-on expertise with LangChain, LangGraph, or similar agent orchestration frameworksStrong understanding of Retrieval-Augmented Generation (RAG), vector databases, and prompt engineeringExperience building scalable ML pipelines and cloud-based AI systemsKnowledge of AWS services such as SageMaker, Lambda, and S3Experience working with APIs, microservices, and distributed systemsStrong communication skills with the ability to influence technical directionA passion for emerging AI technologies and building products that have measurable user impactWhy Join?Work on genuinely challenging AI problems at scaleInfluence the direction of AI strategy and product innovationCollaborate with a high-performing team of engineers, data scientists, and product leadersCompetitive salary and benefits packagePersonal development budget and ongoing learning opportunitiesFlexible hybrid working modelPrivate healthcare and enhanced family leave policiesRegular team socials, events, and collaborative culture#J-18808-Ljbffr
