Job Description

Senior Full-Stack AI Engineer

Location: Fully Remote
Contract: Freelance
Working: Remote
Start: ASAP / To be agreed

We're supporting a global organisation that is building and scaling a new generation of internal AI-powered tools and applications.

They're looking for an experienced Senior Full-Stack AI Engineer to work across the full development lifecycle, combining strong software engineering skills with hands-on experience building AI agents and LLM-powered applications on Azure AI Foundry.

This is a hands-on engineering role where you'll design, build and deploy production-ready AI solutions across frontend, backend, data and cloud infrastructure.

Key Responsibilities

Build and maintain end-to-end AI-powered applications and internal tools.
Develop AI agent workflows, orchestration, prompt logic and model integrations using Azure AI Foundry.
Build frontend interfaces using technologies such as React / Next.js and backend services using Node.js.
Design and maintain data layers using technologies such as PostgreSQL.
Deploy and maintain solutions across Azure, including Azure App Service and Azure AD.
Develop automated QA and evaluation pipelines for generative AI outputs.
Embed AI into development workflows including IDEs, CI/CD and code reviews.
Establish coding standards, reusable patterns and guardrails for AI-assisted development.
Identify and mitigate risks around model performance, latency, cost, scalability and data quality.
Produce architecture documentation, technical guides and runbooks.

We're Looking For

8+ years software engineering experience, ideally with strong full-stack development experience.
Proven experience building production-grade applications.
Strong frontend and backend development skills, particularly React/Next.js and Node.js.
Hands-on experience with Azure AI Foundry, including agent orchestration, model deployment and evaluation - essential.
Strong Azure experience including App Service and Azure AD.
Experience with LLM-based applications and AI coding tools.
Understanding of prompt engineering, LLM limitations and AI output validation.
Experience with MLOps, CI/CD, monitoring and model versioning.
Experience building AI/LLM testing or evaluation frameworks.
Strong UX/UI and product design awareness.
Jira and Confluence experience.

Nice to have: RAG, multi-agent AI systems, prompt engineering and experience within regulated industries such as pharma, healthcare or life sciences.