Artificial Intelligence Engineer

La Fosse; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

La Fosse is partnering with a growing organisation investing heavily in Azure and AI capabilities. We are seeking an Azure AI Engineer to join a newly developing team to design, build and deploy production-grade AI solutions within the Azure ecosystem.

You will work on Generative AI, RAG, intelligent document processing and AI agents, taking use cases from concept to secure, scalable production systems. Location: UK, hybrid with up to 2 days in the office.

Qualifications

• 5+ years’ experience across software, cloud or data engineering.
• Strong hands-on Python engineering experience.
• Commercial experience building Generative AI or LLM based solutions.
• Experience with Azure OpenAI and ideally Azure AI Foundry.
• Strong understanding of RAG, embeddings, vector search and Azure AI Search.
• Experience taking AI solutions into a production environment.
• Knowledge of AI agents, tool/function calling and orchestration.
• Experience with Document Intelligence or similar document processing technologies.
• An understanding of AI evaluation, security, responsible AI and production monitoring.
• Experience with Azure DevOps or GitHub, CI/CD and Infrastructure as Code.
• Exposure to Azure security services including Entra ID, Managed Identity, RBAC and Key Vault.

Responsibilities

• Designing and building production grade Generative AI and LLM solutions using Azure AI Foundry and Azure OpenAI.
• Developing RAG solutions using Azure AI Search, including embeddings, vector and hybrid search, reranking and grounding.
• Building intelligent document processing and information extraction solutions using Azure Document Intelligence.
• Developing AI agents using tool/function calling and integrating them with enterprise systems, APIs and workflows.
• Working extensively with prompt engineering, context management, orchestration and model configuration.
• Building supporting APIs, Azure Functions and lightweight services primarily in Python.
• Evaluating AI solutions across accuracy, relevance, groundedness, safety, latency and cost.
• Implementing appropriate AI security, privacy, validation and human in the loop controls.
• Helping establish reusable AI components, patterns and engineering standards.
• Working with CI/CD, Azure DevOps/GitHub and Infrastructure as Code.

Skills

Python

Generative AI

LLMs

Azure OpenAI

RAG

Vector search

CI/CD

Azure DevOps

Tools

Azure OpenAI Foundry

Azure AI Search

Azure Document Intelligence

Azure Functions

GitHub

Infrastructure as Code

Job description

We’re exclusively partnering with a growing organisation that is investing heavily in its Azure and AI capability and is looking for an Azure AI Engineer to join a newly developing team.

This is a hands on engineering role focused on building and deploying production grade AI solutions within the Microsoft Azure ecosystem. You’ll work across Generative AI, RAG, intelligent document processing and AI agents, helping take AI use cases from initial concept through to secure, scalable production solutions.

It’s a great opportunity for someone who wants to work on genuine enterprise AI use cases while having the opportunity to help shape best practices and engineering standards as the capability grows.

What you’ll be doing

• Designing and building production grade Generative AI and LLM solutions using Azure AI Foundry and Azure OpenAI
• Developing RAG solutions using Azure AI Search, including embeddings, vector and hybrid search, reranking and grounding
• Building intelligent document processing and information extraction solutions using Azure Document Intelligence
• Developing AI agents using tool/function calling and integrating them with enterprise systems, APIs and workflows
• Working extensively with prompt engineering, context management, orchestration and model configuration
• Building supporting APIs, Azure Functions and lightweight services primarily in Python
• Evaluating AI solutions across accuracy, relevance, groundedness, safety, latency and cost
• Implementing appropriate AI security, privacy, validation and human in the loop controls
• Helping establish reusable AI components, patterns and engineering standards
• Working with CI/CD, Azure DevOps/GitHub and Infrastructure as Code

What we’re looking for

You don’t need to tick every box, but ideally you’ll have:

• 5+ years’ experience across software, cloud or data engineering
• Strong hands on Python engineering experience
• Commercial experience building Generative AI or LLM based solutions
• Experience with Azure OpenAI and ideally Azure AI Foundry
• Strong understanding of RAG, embeddings, vector search and Azure AI Search
• Experience taking AI solutions into a production environment
• Knowledge of AI agents, tool/function calling and orchestration
• Experience with Document Intelligence or similar document processing technologies
• An understanding of AI evaluation, security, responsible AI and production monitoring
• Experience with Azure DevOps or GitHub, CI/CD and Infrastructure as Code
• Exposure to Azure security services including Entra ID, Managed Identity, RBAC and Key Vault

The opportunity

This isn’t a research role or a traditional software engineering position with a small amount of AI added on. AI engineering is at the heart of the role.

You’ll be joining at an exciting stage of the organisation’s AI journey, with the opportunity to work on real world use cases, help establish how AI solutions are built across the business and see the technology you create move into production.

Location: UK, hybrid working with up to 2 days per week in an office