Senior Consultant - AI Software Engineer- AI Hub - Dubai
Indexed description
The Opportunity
We are seeking a Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production‑grade solutions that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.
Core Requirements
- 5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.
- Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.
- Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.
- Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.
- Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.
- Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.
- Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.
- Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.
- Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.
- Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.
- Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.
- Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.
- hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)
- Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.
- Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.
- Exposure to MLOps or AI platform operations, including model lifecycle management, monitoring, and observability.
- Experience with event-driven or distributed architecture (e.g., message queues, service buses, async processing).
- Knowledge of observability and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
- Experience working in regulated or compliance-driven environments (e.g., financial services, audit).
- Familiarity with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates.
We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
What We Offer
- Competitive compensation package, performance-based rewards, and recognition for your contributions.
- Continuous learning and world-class professional development opportunities.
- Flexible work arrangements to empower your impact.
- Coaching, mentorship, and transformative leadership experiences.
- A diverse, inclusive, and collaborative culture.
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