Sr software engineer

The Full Stack Developer - AI & Agentic Applications will be responsible for the following:

Application Development

Design and develop secure, responsive and maintainable web applications.

Develop reusable frontend components, backend services, APIs and integration services.

Build complete application features from technical design through implementation, testing and deployment.

Design and maintain application data models and relational-database structures.

Implement background jobs, asynchronous processing, caching and event-driven application behaviour where required.

Develop reusable engineering components and patterns that can be applied across multiple AMAN solutions.

Support performance optimisation, maintainability and scalability of production applications.

Extend existing platforms, frameworks and open-source components where appropriate rather than unnecessarily rebuilding functionality from scratch.

AI and Agentic Application Development

Build AI-enabled application experiences including conversational interfaces, intelligent assistants, enterprise search, document workflows and automated business processes.

Integrate large language models, AI services, retrieval systems and agent workflows into production applications.

Implement retrieval-augmented generation (RAG), semantic search and vector-database integrations where required.

Build agents that interact with enterprise applications, tools, APIs and data sources.

Implement tool calling, streaming responses and agent orchestration within user-facing applications.

Develop appropriate error handling, retries, recovery mechanisms and monitoring for AI-enabled workflows.

Implement human-in-the-loop approval steps for sensitive or consequential agent actions.

Work closely with Machine Learning Engineers to integrate AI models, RAG pipelines and intelligent-agent capabilities.

Build rapid but maintainable MVPs and proof-of-value applications for demonstrations, pilots and customer validation.

Evolve validated MVPs and pilots into secure, production-ready applications.

Integration, Security and Deployment

Integrate applications with enterprise systems using REST APIs, webhooks, asynchronous messaging and other integration approaches.

Integrate authentication and enterprise identity services including OAuth, Open ID Connect and SSO.

Implement role-based access control, user permissions and tenant isolation where required.

Implement audit trails, input validation and appropriate security controls.

Apply secure software-development practices throughout the application lifecycle.

Work with Dev Ops and infrastructure teams to support containerised deployment, CI/CD and environment management.

Support deployment across cloud, private-cloud and on-premises environments.

Troubleshoot issues across frontend, backend, database, AI and integration layers. Support production applications and coordinate resolution of technical issues.

Participate in technical discovery sessions, customer workshops, demonstrations and solution discussions where development input is required.

Prepare technical documentation, deployment documentation and relevant system-support materials.

Communicate estimates, dependencies, implementation risks and technical constraints clearly.

Any other responsibilities assigned by management as required.

Qualifications and Experience

Bachelor’s degree in Computer Science, Software Engineering, Information Technology or a related field.

4-6 years of professional software-development experience.

At least 3 years of hands-on experience building and maintaining full-stack production applications.

Experience with React or a comparable modern frontend framework.

Strong backend-development experience using ASP. NET Core, Python or Node.js.

Experience designing and integrating REST APIs.

Practical experience integrating LLM APIs, generative AI or intelligent-agent capabilities into applications is strongly preferred.

Experience with relational databases and data modelling.

Experience with Git, Docker, automated testing and CI/CD.

Experience integrating enterprise applications through APIs, webhooks or asynchronous messaging.

Experience with enterprise SSO, OAuth 2.0 or Open ID Connect is an advantage.

Experience with RAG, vector databases, MCP or agent-orchestration frameworks is an advantage.

Experience with private-cloud or on-premises application deployment is an advantage.

Experience with Arabic interfaces, right-to-left layouts or accessibility is an advantage.

Experience delivering applications for government or regulated enterprise environments is preferred.

Equivalent demonstrated technical capability and relevant practical experience may be considered in place of the stated number of years.

Required Skills

Strong understanding of modern frontend-development practices.

Strong backend, API and application-integration skills.

Good understanding of relational databases, data modelling and asynchronous processing.

Practical understanding of LLM integration, AI-enabled workflows and intelligent-agent concepts.

Strong troubleshooting and debugging abilities across multiple application layers.

Good understanding of application security, authentication, authorisation and access control.

Good understanding of Git, Docker, automated testing and CI/CD practices.

Ability to evaluate whether functionality should be built internally, extended from an existing platform or integrated using third-party technology.

Ability to make practical architectural decisions around security, performance, reliability and maintainability.

Strong technical documentation and communication skills.

Ability to work effectively with product, AI, architecture, Dev Ops and business teams.

Ability to manage multiple development activities and priorities.

Strong written and verbal communication skills in English; Arabic is an advantage.

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