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 at least 3 years in advanced Python engineering.
- Proven expertise in LangChain LangGraph or equivalent LLM orchestration frameworks.
- Experience with Azure AI Services including Azure OpenAI AI Studio and Cognitive APIs.
- Strong background in serverless architecture especially Azure Functions or AWS Lambda.
- Solid understanding of LLM application design prompt engineering embeddings and vector database integrations.
- Exposure to 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 (e.g. chatbots assistants document intelligence 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
Remote Work :
No
Employment Type :
Full-time
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 at least 3 years in advanced Python engineering.Proven expertise in LangChain L...
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 at least 3 years in advanced Python engineering.
- Proven expertise in LangChain LangGraph or equivalent LLM orchestration frameworks.
- Experience with Azure AI Services including Azure OpenAI AI Studio and Cognitive APIs.
- Strong background in serverless architecture especially Azure Functions or AWS Lambda.
- Solid understanding of LLM application design prompt engineering embeddings and vector database integrations.
- Exposure to 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 (e.g. chatbots assistants document intelligence 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
Remote Work :
No
Employment Type :
Full-time
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