How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Graduate Cloud Engineer
Graduate Azure AI Engineer / Fixed-Term Contract / Remote, UK Based / Compensation equivalent to £40k annual salary
About the Company
The company is an AI-focused business building practical AI-native solutions for clients, with a strong focus on automation, intelligent workflows and applied AI products that solve real business problems.
The business is now looking for a hands-on Graduate Azure AI Engineer / AI Agent Developer to support the delivery of an Azure-based AI agent and RAG workflow, while also helping build internal AI-native automations across commercial, product and operational workflows.
About the Role
This is a fixed-term contract role (August, September & October 2026) suited to a practical Azure AI builder who can configure services, write code, debug issues and improve the quality of AI agent and retrieval-based systems.
The role will be approximately 70% focused on client delivery and 30% focused on internal automation and light web support. The main project will involve building, testing, monitoring and improving an Azure-based AI agent / RAG workflow using Azure AI Search, Cosmos DB, Azure AI Foundry, Azure OpenAI, Application Insights and Azure Monitor.
Alongside this, the contractor will support with Power Automate workflows, AI-native automations and simple TypeScript website edits when required.
Key Responsibilities
- Support the build and improvement of an AI underwriting assistant / agent using Azure AI tools, Azure OpenAI, Azure AI Search and Cosmos DB.
- Help test the AI agent against client datasets and identify ways to improve prompts, retrieval quality, grounding and output reliability.
- Support RAG workflows, including document indexing, chunking, embeddings, vector or hybrid search and metadata filtering.
- Assist with debugging agent behaviour, retrieval issues, workflow errors and common AI output problems.
- Help monitor system performance using tools such as Application Insights, Azure Monitor and Log Analytics.
- Work safely and responsibly within client-controlled Azure environments.
- Create concise handover notes and documentation for internal and client teams.
- Build internal AI-native automations for sales, follow-up, demos, reporting, research and product workflows.
- Support the creation of Power Automate cloud flows across Microsoft 365, Outlook, SharePoint and Teams.
- Make simple TypeScript, React or Next.js-style website edits when required, including content updates, links, GitHub commits or pull requests.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Essential Requirements
- A degree in Computer Science, Engineering, Data Science, AI, Mathematics, Physics or a related technical subject.
- Hands-on experience with coding through university projects, internships, personal projects, freelance work or previous commercial experience.
- Good programming ability in Python, TypeScript or JavaScript.
- Strong interest in applied AI, AI agents, automation and RAG systems.
- Some exposure to Azure, cloud infrastructure or Microsoft-based tools.
- Understanding of core LLM concepts such as prompting, embeddings, retrieval, grounding and hallucination risks.
- Familiarity with APIs, databases and basic software development workflows.
- Ability to debug problems, research solutions and learn new tools quickly.
- Clear communication skills and the ability to document technical work properly.
- Comfortable working remotely and taking ownership of tasks in a fast-moving environment.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Ideal Candidate
The ideal candidate will be a practical graduate or early-career engineer who enjoys building real AI products rather than purely researching models.
They will be curious, hands-on and comfortable working across different areas, including Azure AI tools, RAG workflows, automation, debugging, documentation and light web support.
This person does not need to have deep commercial experience, but should be able to demonstrate strong technical ability through projects, internships, coursework, GitHub work, hackathons, freelance work or previous roles.
They should be comfortable working in an ambiguous startup environment where requirements may evolve quickly, and should be motivated by building AI workflows that are reliable, useful and practical for real business users.
Nice to Have
- Experience with Azure AI Search, Azure OpenAI, Azure AI Foundry or other Azure AI services.
- Experience building a RAG, chatbot, AI agent or document-based Q&A tool.
- Familiarity with Cosmos DB, MongoDB or other NoSQL databases.
- Experience with Power Automate, Logic Apps or Microsoft 365 workflows.
- Basic React, Next.js or TypeScript website experience.
- Experience with GitHub, pull requests and deployment workflows.
- Exposure to monitoring tools such as Application Insights, Azure Monitor or Log Analytics.
- Experience with OCR, PDF extraction or Azure Document Intelligence.
- Familiarity with LangChain, LlamaIndex, Semantic Kernel or similar frameworks.
- Awareness of data privacy, security and governance when working with client data.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location