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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