Description

You will design, build, and maintain LLM-based applications and backend systems on Azure.

This role is on-site.

Responsibilities

• Build document intelligence pipelines for parsing, validation, and enrichment.
• Develop modular Python services using FastAPI or Flask with async workers.
• Implement RAG architectures, prompt pipelines, and structured extraction.
• Deploy and manage services on Azure, ensuring security and cost efficiency.
• Design systems for observability, handling failures and optimizing latency.

Required Skills

• 5+ years of production-grade Python development.
• Experience building scalable backend APIs and distributed systems.
• Hands-on experience with LLM applications, RAG, and prompt design.
• Proficiency with Azure services (App Services, Functions, Storage, Service Bus).
• Understanding of structured and unstructured data processing.
• Experience with CI/CD pipelines and containerized deployments.

Preferred Skills

• Experience with Kubernetes and vector databases (Pinecone, FAISS).
• Background in document processing or enterprise integrations.

Key Skills

Education

Any Gradute