AI Engineer

Cloud DevOps Limited is looking for an AI Engineer to design, build and deploy production-grade AI solutions for our clients, including generative AI applications, retrieval-augmented generation (RAG) systems and AI agents on AWS and Azure.

You will work alongside our cloud and DevOps engineers to take AI use cases from prototype to production. Responsibilities Design and build LLM-powered applications and AI agents using platforms such as Amazon Bedrock and Microsoft Foundry Build RAG pipelines, including document ingestion, chunking, embeddings and vector search Develop evaluation frameworks to measure answer quality, safety and cost before and after each release Deploy and operate AI workloads using infrastructure as code and CI/CD, with monitoring, tracing and cost controls Apply guardrails, access controls and responsible AI practices to every solution Work with clients to understand their use cases and explain technical decisions clearly Document solutions and share knowledge with the wider team Requirements Strong Python skills and a solid grounding in software engineering practice Experience building applications with large language models and orchestration frameworks such as LangChain, LangGraph or LlamaIndex Hands-on experience with AWS and/or Azure Understanding of machine learning fundamentals, embeddings and vector databases Experience with Git, CI/CD, Docker and infrastructure as code Clear communication and a practical, problem-solving approach A degree in computer science, data science or a related field, or equivalent practical experience Nice-to-Have Skills AWS Certified Machine Learning Engineer – Associate or an equivalent Azure certification Experience with MLOps, model evaluation and observability tooling Experience with Terraform and Kubernetes

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