About the Job: We are seeking a skilled developer with expertise in Java, LLM Application Frameworks, and Data Science on Azure to join our team in Dubai, United Arab Emirates. The ideal candidate will possess a strong knowledge base in bank-related technologies and demonstrate a robust understanding of software architecture and design patterns, especially within the realm of enterprise AI solutions.
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Must Have Skills:
- Java (Expert)
- LLM Application Frameworks (Strong)
- Data science on Azure (Strong)
Good To Have Skills:
- Azure DevOps suite (Expert)
Knowledge & Experience:
- 5+ years of hands-on development experience, with a minimum of 3 years in advanced Python engineering.
- Proven expertise in LangChain, LangGraph, or equivalent LLM orchestration frameworks.
- Familiarity with Azure AI Services, including Azure OpenAI, AI Studio, and Cognitive APIs.
- Strong background in serverless architecture, particularly Azure Functions or AWS Lambda.
- Solid understanding of LLM application design, prompt engineering, embeddings, and vector database integrations.
- Experience with Java-based microservices and REST API integration.
- Strong grasp of software architecture, design patterns, and distributed system concepts.
- Experience in developing modular, testable, and maintainable Python codebases.
- Knowledge of LLM lifecycle management (training, fine-tuning, evaluation).
- Experience with Azure DevOps pipelines, Docker, and Kubernetes (EKS/AKS).
- Prior work on enterprise AI solutions, such as chatbots, assistants, document intelligence, and RAG pipelines.
Domain & Functional Expertise:
- Strong functional and technical understanding of the Banking domain, especially Corporate & Investment Banking.
- Ability to interpret business requirements and assess system impacts, integrations, and dependencies.
Technical Skills:
- Programming: Expert-level Python (data structures, algorithms, async I/O, typing, and packaging).
- Frameworks: LangChain, LangGraph, FastAPI, Flask.
- Cloud: Azure AI Services, Azure Functions, Azure Storage, Cosmos DB (or similar).
- Serverless: Function Apps, Event-driven design, API Gateway integrations.
- DevOps: CI/CD, Docker, Git, Unit testing, Code reviews.
- Data & AI: Embeddings, Vector stores, RAG, OpenAI APIs.
- Integration: REST, GraphQL, gRPC, message queues (Kafka/SQS/Event Hub).
- Exposure to Java: Microservices, Spring Boot integration.
