Contract: Long-term opportunityExperience: 8+ yearsLanguage: English

About the RoleWe are looking for an experienced Senior Agentic AI Engineer to design, build and deploy enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and multi-agent systems.You will work on the development of AI-powered automation, intelligent assistants and data-driven decision platforms, taking solutions from initial design through to scalable, secure and production-ready deployment.This is a hands-on engineering role requiring strong Python, Generative AI and cloud engineering expertise, alongside experience building modern AI and data platforms.

Key Responsibilities• Design, develop and deploy Agentic AI applications using LLMs, RAG, embeddings and vector databases• Build sophisticated multi-agent AI systems and intelligent workflows• Develop AI-powered assistants, automation solutions and decision-support platforms• Design and optimise RAG pipelines for enterprise use cases• Build and optimise AI workflows using LangChain, LlamaIndex and similar frameworks• Integrate applications with Azure OpenAI and other cloud-based AI services• Design scalable AI and data pipelines across Azure and/or AWS• Work with vector databases and embedding models to support semantic search and retrieval• Develop production-grade solutions using Python and SQL• Implement MLOps practices covering deployment, monitoring, evaluation and retraining• Build and maintain scalable data processing solutions using technologies such as Databricks,

Spark and Airflow• Containerise and deploy applications using Docker and Kubernetes• Contribute to CI/CD pipelines and automated deployment processes• Monitor and optimise AI applications for performance, scalability and reliability• Implement appropriate AI security, governance and responsible AI controls• Collaborate closely with software engineers, data engineers, architects and business stakeholders• Translate business requirements into scalable AI-driven technical solutions• Ensure AI platforms and applications are secure, reliable and production-ready

Essential Skills & Experience• 8+ years of experience across Software Engineering, Data Engineering, Machine Learning or AI Engineering• Strong hands-on programming experience with Python• Strong SQL skills• Commercial experience designing and developing Generative AI / LLM applications• Hands-on experience with Agentic AI and multi-agent systems• Strong understanding of Retrieval-Augmented Generation (RAG)• Experience working with embeddings and vector databases• Hands-on experience with LangChain, LlamaIndex or comparable AI orchestration frameworks• Experience with Azure OpenAI or similar enterprise LLM services• Strong knowledge of Microsoft Azure and/or AWS• Experience designing scalable AI and data pipelines• Knowledge of Databricks, Apache Spark and Airflow• Experience with Docker and Kubernetes• Strong understanding of CI/CD and DevOps principles• Experience taking AI/ML solutions from development into production environments• Understanding of MLOps, including model deployment, monitoring, evaluation and retraining• Strong understanding of security, governance and reliability requirements for enterprise AI

• Technology Environment