AI Engineer / LLM Engineer
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About the role
We are looking for an AI Engineer to join a dynamic AI team within an international technology environment.
In this role, you will design, build, and deploy LLM-powered applications, RAG pipelines, multi-agent systems, and scalable AI solutions on AWS.
You will work at the intersection of software engineering, AI engineering, data pipelines, and cloud deployment, contributing to real use cases across the group. This role is highly hands-on and focused on building intelligent systems that move from experimentation to production.
You will work closely with Data Scientists, Platform and DevOps Engineers, Data Engineers, domain experts, Product Managers, and the Tech Lead to move AI solutions from experimentation into production.
If you enjoy working with LLMs, agents, RAG, vector databases, Python APIs, and AWS-native AI services, this could be a great fit.
What you'll do
Design, build,



and maintain LLM-powered applications and multi-agent systems primarily using LangGraph and LangChain, alongside tools such as CrewAI or similar frameworks
Develop and optimise RAG pipelines, including document ingestion, chunking strategies, embedding generation, retrieval logic, and vector search
Implement and manage vector databases such as pgvector on Aurora, OpenSearch, Pinecone, or similar
Build and maintain data and ETL pipelines using Apache Airflow, Prefect, or similar tools
Develop backend services and APIs in Python / FastAPI to serve AI models, RAG systems, and agent workflows
Deploy and manage AI workloads on AWS services such as Bedrock, SageMaker, Lambda, S3, Aurora/RDS, EC2
Work with Docker and Kubernetes to containerise and orchestrate AI workloads
Design and execute evaluation frameworks for LLM outputs, including automated testing, LLM-as-judge approaches, and human-in-the-loop revi

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