Job Summary
offshore AI Backend Engineer with 5+ years of backend development experience and strong exposure to AI-enabled systems. The ideal candidate will combine solid Python FastAPI backend expertise with hands-on experience in AI/LLM integration, document intelligence, and Azure AI Search–based retrieval systems. This role focuses on building scalable, secure, and production-grade AI-powered APIs using modern cloud-native and event-driven architectures and Devops deployment.
Key Responsibilities
Key Responsibilities
Engineer backend services that integrate LLMs and AI workflows, including:
- Prompt engineering and prompt versioning strategies
- Chunking strategies for unstructured data (documents, PDFs, text)
- Index design and retrieval optimization for AI search use cases
- Support data labelling and curation workflows for AI model input and evaluation
- Build intelligent document-processing pipelines using Azure Document Intelligence
- Implement semantic and hybrid search using Azure AI Search
- Experience , develop, and maintain scalable backend APIs using Python and FastAPI
- Build RESTful and event-driven microservices following clean architecture and best practices
- Implement authentication and authorization mechanisms (OAuth2, JWT, API keys, RBAC)
- Build and manage CI/CD pipelines using Azure DevOps
- Hands-on experience with Azure cloud services, especially:
- Azure AI Search
- Azure Document Intelligence
- Azure Service Bus
- Azure Storage
- Experience with Kong API Gateway, Postman, and SQL databases
- Strong understanding of authentication, authorization, and API security
Skill Requirements
Key Responsibilities
Engineer backend services that integrate LLMs and AI workflows, including:
- Prompt engineering and prompt versioning strategies
- Chunking strategies for unstructured data (documents, PDFs, text)
- Index design and retrieval optimization for AI search use cases
- Support data labelling and curation workflows for AI model input and evaluation
- Build intelligent document-processing pipelines using Azure Document Intelligence
- Implement semantic and hybrid search using Azure AI Search
- Experience , develop, and maintain scalable backend APIs using Python and FastAPI
- Build RESTful and event-driven microservices following clean architecture and best practices
- Implement authentication and authorization mechanisms (OAuth2, JWT, API keys, RBAC)
- Build and manage CI/CD pipelines using Azure DevOps
- Hands-on experience with Azure cloud services, especially:
- Azure AI Search
- Azure Document Intelligence
- Azure Service Bus
- Azure Storage
- Experience with Kong API Gateway, Postman, and SQL databases
- Strong understanding of authentication, authorization, and API security