Senior Technical Lead

Job Summary

offshoreAI 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

Other Requirements

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