AI-Assisted Developer

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.