Senior Consultant - AI Software Engineer- AI Hub

Job Description Roles & Responsibilities 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. Nice to Have 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. Desired Candidate Profile Company Industry BankingFinancial ServicesBroking Department / Functional Area IT Software Keywords Senior Consultant - AI Software Engineer- AI Hub Get real-time job updates only on our App