Backend Developer – AI Platform

Systems Limited; Lahore; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Systems Limited is seeking a Backend Developer – AI Platform in Lahore to build scalable backend services powering multi-tenant AI workloads. You will design APIs, implement RAG pipelines, and integrate Azure/OpenAI models for production-grade AI platforms.

The role emphasizes security, observability, and reliability, with collaboration across AI/ML, frontend, DevOps, QA, and product teams to deliver end-to-end capabilities.

Qualifications

• 4–8 years of strong hands-on backend development experience.
• Proficient in Python and/or .NET.
• Hands-on with FastAPI and/or Node.js.
• Strong RESTful API design and microservices knowledge.
• Experience building multi-tenant applications with tenant isolation.
• Experience with Microsoft Entra ID and MSAL.
• Experience with Retrieval-Augmented Generation (RAG).
• Experience with Azure AI services (AI Search, Cosmos DB, Redis).
• Experience with OpenAI or Azure OpenAI integration.

Responsibilities

• Design, develop, and maintain scalable backend services and microservices for multi-tenant AI platforms.
• Build secure, scalable multi-tenant APIs using Python/.NET and FastAPI/Node.js.
• Implement authentication and authorization using Microsoft Entra ID and MSAL.
• Design RAG pipelines including embeddings, chunking, indexing, and re-ranking.
• Integrate Azure AI Search for semantic/vector retrieval.
• Develop session/state/memory management via Redis.
• Enable real-time communication with Web PubSub and Cosmos DB streams.
• Integrate OpenAI/Azure OpenAI models via Azure Foundry APIs.
• Develop telemetry, logging, monitoring, and diagnostics across services.
• Containerize apps and support CI/CD with GitHub workflows.

Skills

Python

.NET

FastAPI

RESTful API

Microservices

Azure

Redis

Cosmos DB

Azure AI Search

AI/ML integration

Security

CI/CD

GitHub workflows

Web PubSub

Docker

Kubernetes

Tools

FastAPI

Node.js

Job description

Backend Developer – AI Platform at Systems Limited Develop scalable backend services and microservices powering multi-tenant RAG and agentic AI platforms using Python/.NET, FastAPI/Node.js, Azure cloud services, Redis, Cosmos DB, Azure AI Search, and Azure AI Foundry, with a strong focus on API security, real-time communication, observability, reliability, and production-ready AI integrations.

Responsibilities

• Design, develop, and maintain scalable backend services and microservices for multi-tenant AI and agentic platforms
• Build secure, scalable, and reliable multi-tenant APIs using Python/.NET and FastAPI/Node.js
• Implement authentication and authorization flows using Microsoft Entra ID and MSAL
• Design and implement Retrieval-Augmented Generation (RAG) pipelines including document ingestion, embeddings, chunking, indexing, and re-ranking
• Integrate Azure AI Search to support semantic and vector-based retrieval capabilities
• Develop session, state, and memory management solutions using Redis
• Implement real-time communication and event-driven capabilities using Azure Web PubSub and Cosmos DB streams
• Integrate OpenAI and Azure OpenAI models through Azure AI Foundry APIs
• Develop robust API security mechanisms, including authentication, authorization, validation, and secure service-to-service communication
• Implement telemetry, logging, monitoring, exception handling, and application diagnostics across backend services
• Build and deploy backend workloads using Azure App Service and Azure Functions
• Work with Cosmos DB to design scalable data storage and retrieval solutions for AI workloads
• Secure application secrets, credentials, and configuration using Azure Key Vault
• Develop containerized applications and support CI/CD pipelines using GitHub-based workflows
• Troubleshoot production issues, perform root cause analysis, and implement reliable fixes
• Collaborate with AI/ML, frontend, DevOps, QA, and product teams to deliver end-to-end platform capabilities
• Optimize backend services for scalability, performance, reliability, and cost efficiency
• Follow software engineering, security, cloud-native, and AI platform development best practices

Requirements

• 4–8 years of strong hands‑on experience in backend software development
• Strong programming experience with Python and/or .NET
• Hands‑on experience with FastAPI and/or Node.js for backend API development
• Strong understanding of RESTful API design, microservices architecture, and distributed systems
• Experience building multi‑tenant applications and implementing tenant isolation and access control
• Strong experience with authentication and authorization using Microsoft Entra ID and MSAL
• Practical experience implementing Retrieval‑Augmented Generation (RAG) solutions and AI‑powered backend services
• Strong understanding of RAG concepts including embeddings, document chunking, vector search, retrieval, and re‑ranking
• Hands‑on experience with Azure AI Search and vector/semantic search capabilities
• Experience integrating OpenAI or Azure OpenAI models through Azure AI Foundry
• Strong experience with Redis for caching, session management, state management, or conversational memory
• Experience implementing real‑time communication using Web PubSub, WebSockets, or similar technologies
• Experience working with Cosmos DB and event/stream‑based data processing
• Hands‑on experience with Azure services such as App Service, Functions, Cosmos DB, Redis, Web PubSub, and Key Vault
• Strong understanding of API security, secure configuration management, error handling, and input validation
• Experience with application telemetry, logging, monitoring, and observability
• Experience with containerization and deployment of backend services
• Strong understanding of CI/CD pipelines and GitHub‑based development workflows
• Experience with Git, branching strategies, pull requests, and collaborative software development
• Strong troubleshooting, problem‑solving, and debugging skills
• Ability to work effectively in a fast‑paced environment and collaborate with cross‑functional technical teams
• Experience building production‑grade AI platforms, agentic applications, or LLM‑powered solutions is highly preferred