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I’m Najam Azam, a full-stack AI engineer and architect with 7+ years of experience building production-ready web applications and enterprise AI systems. I specialize in Python and Django, and I design and implement LLM-powered solutions including RAG pipelines, AI agents, tool-calling workflows, and structured output generation—always with an emphasis on reliability, scalability, and maintainability. Over my career, I’ve led end-to-end development across architecture, implementation, deployment, optimization, and production support. I’ve built streaming AI experiences, asynchronous document intelligence pipelines, secure multi-tenant REST APIs, and evaluation-ready LLM infrastructure—while also mentoring engineers through code and architecture reviews to help teams deliver dependable results.…I’m Najam Azam, a full-stack AI engineer and architect with 7+ years of experience building production-ready web applications and enterprise AI systems. I specialize in Python and Django, and I design and implement LLM-powered solutions including RAG pipelines, AI agents, tool-calling workflows, and structured output generation—always with an emphasis on reliability, scalability, and maintainability. Over my career, I’ve led end-to-end development across architecture, implementation, deployment, optimization, and production support. I’ve built streaming AI experiences, asynchronous document intelligence pipelines, secure multi-tenant REST APIs, and evaluation-ready LLM infrastructure—while also mentoring engineers through code and architecture reviews to help teams deliver dependable results.

Najam Azam

AI Engineer, Full Stack Developer, Software Engineer, +4

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I’m Najam Azam, a full-stack AI engineer and architect with 7+ years of experience building production-ready web applications and enterprise AI systems. I specialize in Python and Django, and I design and implement LLM-powered solutions including RAG pipelines, AI agents, tool-calling workflows, and structured output generation—always with an emphasis on reliability, scalability, and maintainability. Over my career, I’ve led end-to-end development across architecture, implementation, deployment, optimization, and production support. I’ve built streaming AI experiences, asynchronous document intelligence pipelines, secure multi-tenant REST APIs, and evaluation-ready LLM infrastructure—while also mentoring engineers through code and architecture reviews to help teams deliver dependable results.…I’m Najam Azam, a full-stack AI engineer and architect with 7+ years of experience building production-ready web applications and enterprise AI systems. I specialize in Python and Django, and I design and implement LLM-powered solutions including RAG pipelines, AI agents, tool-calling workflows, and structured output generation—always with an emphasis on reliability, scalability, and maintainability. Over my career, I’ve led end-to-end development across architecture, implementation, deployment, optimization, and production support. I’ve built streaming AI experiences, asynchronous document intelligence pipelines, secure multi-tenant REST APIs, and evaluation-ready LLM infrastructure—while also mentoring engineers through code and architecture reviews to help teams deliver dependable results.

Available to hire

I’m Najam Azam, a full-stack AI engineer and architect with 7+ years of experience building production-ready web applications and enterprise AI systems. I specialize in Python and Django, and I design and implement LLM-powered solutions including RAG pipelines, AI agents, tool-calling workflows, and structured output generation—always with an emphasis on reliability, scalability, and maintainability.

Over my career, I’ve led end-to-end development across architecture, implementation, deployment, optimization, and production support. I’ve built streaming AI experiences, asynchronous document intelligence pipelines, secure multi-tenant REST APIs, and evaluation-ready LLM infrastructure—while also mentoring engineers through code and architecture reviews to help teams deliver dependable results.

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Work Experience

Lead Gen AI Engineer at Devoasis

March 1, 2024 - Present

Architected and led production AI platforms using Python, Django, FastAPI, React, and Next.js. Designed end-to-end RAG pipelines (ingestion, chunking, embeddings, vector retrieval, reranking, context building, generation). Built agentic multi-step workflows with tool calling, validation, routing, retries, and fallbacks. Implemented reusable LLM infrastructure (prompt management, model routing, memory, structured outputs, token management, evaluation). Integrated OpenAI/Anthropic/Gemini via shared abstractions and optimized PostgreSQL models and queries. Built async processing pipelines with Celery and Redis, and delivered real-time streaming interactions using WebSockets. Implemented security with OAuth2/JWT/RBAC and multi-tenant data isolation. Mentored engineers and led architecture/code reviews for reliable scalable delivery.

Senior AI Engineer at DevSinc

August 1, 2022 - March 1, 2024

Integrated OpenAI GPT models into production applications for conversational AI, summarization, information extraction, classification, intelligent search, and workflow automation. Designed RAG and document intelligence workflows including chunking, embeddings, retrieval, contextual prompting, and structured validation. Built reusable LLM services and prompt templates using LangChain and LlamaIndex. Developed scalable APIs and asynchronous pipelines using Django REST Framework, FastAPI, Celery, and Redis. Contributed to AI reliability by improving retrieval workflows, data access patterns, and integration with existing business platforms, while also supporting frontend AI-powered interfaces.

Software Engineer – Full-Stack / Backend at Dextersol

April 1, 2021 - August 1, 2022

Developed scalable web applications using Django, Django REST Framework, and React, delivering end-to-end features across backend services, APIs, databases, and responsive interfaces. Improved performance and reliability through database optimization, asynchronous processing, error handling, and secure access controls. Integrated third-party APIs and external business platforms to automate workflows. Built reusable components and standardized practices to improve maintainability and delivery speed. Supported production deployments with Docker and Linux, including testing, troubleshooting, monitoring, and performance improvements. Collaborated in Agile ceremonies, performed code reviews, and owned modules while mentoring junior developers.

Associate Software Engineer at Dextersol

May 1, 2020 - April 1, 2021

Enhanced web application features based on business requirements and improved user experience. Built and maintained backend services, database operations, and responsive interfaces. Integrated third-party APIs and supported background workflows for routine automation and external service connectivity. Improved stability through testing, debugging, issue resolution, and performance optimization. Followed coding standards with validation and access controls, participated in code reviews, and collaborated with senior engineers using Agile processes and Git-based workflows.