WSP is seeking a Senior Full-Stack AI Engineer to serve as a senior engineering resource for the Middle East AI delivery team, based in the Bengaluru GCC.
The role will design and build scalable enterprise applications across front-end, back-end, API and AI integration layers, taking solutions from technical design through production operation.
Responsibilities
Design, develop and maintain production-grade applications across front-end and back-end layers in line with approved architecture and design standards.
Build responsive user experiences using approved modern web frameworks and accessible design practices.
Develop secure backend services, APIs, microservices and enterprise system connectors using approved languages and Azure services.
Integrate Azure OpenAI, Azure AI Search and related approved AI capabilities into business applications.
Provide technical leadership across system design, coding standards, reviews, testing, release readiness and defect resolution.
Implement unit, integration and automated tests to reduce regression and improve application reliability.
Contribute to CI/CD, infrastructure configuration, deployment, monitoring and post-release support using Azure DevOps.
Work with product, QA, architecture, security and business specialists to translate requirements into maintainable solutions.
Mentor engineers and help establish reusable patterns for enterprise AI application delivery.
Qualifications
Bachelor’s degree in Computer Science, Engineering or a related discipline.
7+ years of full-stack software engineering experience, including delivery of enterprise applications to production.
Strong experience with React or Angular and backend development using Python, C#/.NET or Node.js/TypeScript.
Demonstrated experience with REST APIs, microservices, authentication, authorisation and secure coding practices.
Hands-on experience with Microsoft Azure application services, data services, Key Vault, monitoring and Azure DevOps.
Experience integrating LLM-based services, RAG or enterprise search into application workflows.
Ability to lead technical delivery, troubleshoot complex issues and communicate design decisions to technical and non-technical stakeholders.
Expected Outcomes
Deliver secure, scalable and supportable AI-enabled applications from design through production.
Improve engineering quality through reusable architecture, automated testing, code review and observability.
Provide senior technical leadership and reduce delivery risk across the AI product portfolio.
Preferred Qualifications
Microsoft Azure Developer, Solutions Architect or DevOps certification.
Experience with AKS, Docker, event-driven or serverless architectures.
Knowledge of AI evaluation, observability and responsible AI controls.
Experience delivering solutions in a global engineering, consulting or GCC environment.
Key skills
Required
AngularAzure DevOpsC#MicroservicesMicrosoft AzureNode.jsPythonREST API DevelopmentReactSecure CodingTypeScript
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Questions you may be asked
What is Node.js, and why is it a good fit for I/O-heavy applications?
If Node.js is single-threaded, how does it handle many requests at the same time?
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