Portal Full-Stack Developer

Location: Remote (UK), Contract Role

Rate: Up to £650/day (Outside IR35)

Contract: 6 Months + Likely Extensions

Working Pattern: Fully Remote (UK)

Please Note: Applicants must have the right to work in the UK. Sponsorship is not available for this role.

The Role

We are looking for an experienced Portal Full-Stack Developer to deliver enterprise-grade AI platform solutions across frontend, backend, security, and integrations. This role focuses on building scalable, production-ready applications that support multiple AI services while following enterprise architecture and governance standards.

Key Responsibilities

• Design, develop, test, and deploy production-grade applications.
• Build secure, scalable, and maintainable full-stack solutions.
• Implement CI/CD pipelines, automated testing, and monitoring.
• Develop reusable components supporting multiple AI applications.
• Collaborate with architects, product owners, and data engineers.
• Optimise performance, resilience, and operational stability.
• Produce technical documentation, API documentation, and operational runbooks.
• Participate in architecture reviews, code reviews, and release planning.
• Support production deployments and incident resolution.
• Mentor engineers and promote engineering best practices.
• Integrate Azure services, Snowflake, SharePoint, and REST APIs where required.

Technical Environment

• React or Angular
• Python 3.x / .NET
• Azure
• Azure AI Foundry
• Azure AI Search
• Neo4j
• Qdrant
• Snowflake
• SharePoint
• REST APIs
• Docker
• Kubernetes
• Git
• Azure DevOps
• CI/CD
• LLMs
• Embeddings
• Hybrid Search

Essential Skills

• 7+ years' software engineering experience.
• Strong Python development skills.
• Experience delivering production cloud solutions on Azure.
• Microservices architecture.
• API integration.
• Unit, integration, and performance testing.
• Secure software development practices.
• Excellent communication and technical documentation skills.

Desirable Skills

• Healthcare, Pharma, or Life Sciences experience.
• Azure Document Intelligence.
• Unstructured.io.
• Graphiti entity resolution.
• GLiNER and LLM relationship extraction.
• Hybrid BM25 + Vector Search.
• Cross-Encoder reranking.
• Multi-tenant SaaS platforms.
• Architecture governance experience.