Hiring: AI Engineer

Experience: 5–7 Years

Shift: EST

Work Mode: Remote/Hybrid

Role Overview

We are looking for an AI Engineer with strong Python backend development and hands-on experience building document intelligence, local LLM, and retrieval-based systems. The role focuses on self-hosted AI solutions, Azure integrations, and AI-assisted development for mission-critical applications.

Mandatory Tech Stack

- Python 3.11+ – Async, typing, Pydantic v2, pytest
- FastAPI – Microservices and API development
- SQLAlchemy, Alembic, PostgreSQL, Redis
- Docker, Poetry, Git, CLI
- Azure – Key Vault, Blob Storage, Entra ID
- Document Processing – OCR, layout analysis, structured data extraction
- Local LLMs, Embeddings, Vector Search, RAG
- Windows/PowerShell and Linux deployment knowledge
- AI coding agents – Task decomposition, code generation, critical review, and debugging

Nice to Have

- Tesseract OCR internals and chunking strategies
- Microsoft Graph, Fabric, and Databricks




- Tkinter or desktop UI development
- FinTech, banking, or financial services experience

Key Responsibilities

- Develop and maintain Python/FastAPI microservices.
- Build document extraction, confidence scoring, and predictive matching workflows.
- Integrate self-hosted models, embeddings, and vector search without metered AI APIs.
- Implement Azure integrations, automated testing, CI gates, and release processes.
- Use AI coding agents to accelerate development while ensuring code quality and production readiness.

Key: Candidates must have strong Python backend fundamentals, practical AI/document-processing expertise, and the ability to review and ship reliable, production-grade code in an AI-first development environment. Interested candidates can share their updated CVs for review.

📌 Generative AI Engineer (India)
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