Senior AI Backend Engineer (Python, LLMs & OCR)

Position: Senior AI Backend Engineer (Python, LLMs & OCR) Location: Indore Employment Type: Full-Time Job Objective

• To design, develop, and deploy AI-driven backend systems that automate construction project management processes.
• Power large-scale government and enterprise AI solutions.

Key Responsibilities

• Design and develop scalable backend services using Python, FastAPI, and Django.
• Build and maintain AI-powered chatbots using LLMs and LangChain.
• Develop OCR pipelines using:
  • Tesseract
  • EasyOCR
  • PaddleOCR
  • Google Vision API
• Extract and process data from:
  • PDFs
  • Scanned documents
  • DWG drawings
• Automate BOQ generation, BBS reports, estimation, and planning workflows.
• Design REST APIs and microservices architecture.
• Deploy and manage AI applications on AWS, GCP, or Azure.
• Handle Docker-based deployments, scaling, and server management.
• Optimize performance for large documents and high-volume processing.
• Collaborate with product, domain, and frontend teams to deliver AI solutions.

Mandatory Skills (Must-Have) Core Technical Skills

• Strong expertise in Python.
• Experience with FastAPI and Django.
• API development and microservices architecture.

AI / ML Skills

• AI chatbot development using LLMs.
• Experience with the LangChain framework.
• Prompt engineering and LLM workflow design.

OCR & Document Processing

• OCR tools:
  • Tesseract
  • EasyOCR
  • PaddleOCR
  • Google Vision API
• PDF and DWG data extraction.
• Document intelligence and automation.

Tools & Platforms

• Cloud platforms: AWS, Google Cloud, Azure.
• Docker and deployment pipelines.
• Databases: SQL, NoSQL, Vector Databases.
• Git and version control.

Preferred Skills

• Construction Project Management domain knowledge.
• BOQ, BBS, and estimation logic experience.
• Experience with government or enterprise-scale AI deployments.

Interview Evaluation Focus

• Python coding and backend design.
• FastAPI / Django architecture.
• LangChain and LLM pipeline design.
• OCR workflow optimization.
• Handling large documents (PDFs and drawings).
• Cloud deployment and scalability.