Full Stack Engineer with AI

🔒 Confidential Employer
Posted 8 May 2026
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Software Engineering
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python React Node.js GCP Azure Kubernetes CI/CD API Development

FULL DESCRIPTION

Full Stack Engineer with AI

[Employer hidden — sign up to reveal] is hiring a Full Stack Engineer with AI. This is a remote, full-time position.

Key Responsibilities

  • Develop AI-Driven Applications: Build full-stack solutions integrating AI models into web applications, APIs, and cloud services.
  • Cloud-Native Development: Design and deploy scalable microservices, APIs, and user-facing applications on GCP (Cloud Run, GKE, App Engine) and Azure (AKS, App Service, Functions).
  • Backend Engineering: Develop efficient and scalable backend services using Python (Flask, FastAPI), Node.js (Express), or Java (Spring Boot) with databases like BigQuery, Firestore, PostgreSQL, or Azure Cosmos DB.
  • Frontend Engineering: Design intuitive user interfaces with React, Angular, or Vue.js, ensuring performance and accessibility.
  • AI Model Integration: Work with ML engineers to integrate machine learning models into applications using Vertex AI, Azure Machine Learning, or custom APIs.
  • MLOps & CI/CD: Implement CI/CD pipelines (Cloud Build, GitHub Actions, Azure DevOps) and automate model deployment.
  • Security & Compliance: Ensure AI solutions comply with data privacy, governance, and security best practices on both GCP and Azure.
  • AI as a Service (AIaaS): Develop APIs and microservices that expose AI capabilities for use across multiple business units.
  • Cross-Cloud Flexibility: Adapt to a hybrid cloud environment, ensuring applications can run across GCP and Azure without disruption.
  • Collaboration & Experimentation: Work in an agile setup, collaborating with data scientists, cloud engineers, and business teams to prototype, test, and deploy AI solutions.

Key Qualifications & Skills

  • 3-6 years of experience as a Full Stack Engineer, Cloud Engineer, or AI Software Engineer.
  • Cloud Expertise (GCP & Azure): GCP services: Cloud Run, Kubernetes (GKE), BigQuery, Firestore, IAM, Pub/Sub. Azure services: Azure Kubernetes Service (AKS), App Service, Azure Machine Learning, Azure Functions, Cosmos DB.
  • Backend Development: Proficiency in Python (Flask, FastAPI), Node.js (Express), or Java (Spring Boot) with database experience in PostgreSQL, Firestore, Cosmos DB.
  • Frontend Development: Hands-on experience with React, Angular, or Vue.js, including state management and UI performance optimization.
  • API Development: Strong experience in RESTful API, GraphQL, and gRPC development.
  • MLOps & AI Integration: Experience with Vertex AI, TensorFlow Serving, MLFlow, or Azure ML Model Deployment.
  • DevOps & CI/CD: Experience with Cloud Build, GitHub Actions, Azure DevOps, Terraform for infrastructure automation.
  • Security & Data Privacy: Knowledge of OAuth, IAM, JWT, data encryption, and regulatory compliance (e.g., GDPR, MAS TRM).
  • Hybrid & Multi-Cloud Experience: Ability to design and deploy applications that run across GCP and Azure.

Additional Information

Job Category: Information Technology
Job Type: Full Time
Job Location: Remote
Languages: English
Experience: 5 to 8

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