End Date
Sunday 23 August 2026
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Flexible Working Options
Hybrid Working
Job Description Summary
1. Minimum 10 years of Strong expertise in NLP, Document AI, and AI-driven data processing systems, Solid software engineering skills with focus on clean, scalable, and production-grade solutions, Hands-on experience with data pipelines and cloud-native platforms (GCP), Ability to design and deliver end-to-end AI-enabled solutions within team scope
Job Description
- Experience: 9- 15 years
Location: Hyderabad
Job Type: Full Time
AI, NLP & Document AI (Primary Differentiator)
NLP fundamentals:
Text extraction, classification, entity recognition
Document AI:
OCR, document parsing, structured/unstructured data extraction
LLMs / GenAI:
Prompt engineering
Retrieval-Augmented Generation (RAG)
Knowledge of document workflows:
Input → processing → enrichment → output
Data Engineering & Processing (Tech & Data Arch)
Data pipelines (ETL/ELT)
Batch and streaming data processing




Handling large document datasets
SQL, BigQuery / data platforms
Data transformation and enrichment
Software Engineering Excellence (Core Expectation)
Solid programming skills (Python/Java)
Writing clean, efficient, maintainable code
Use of design patterns (API design, modularisation)
Code reviews and engineering best practices
Unit + integration testing
Cloud & Platform Engineering
Cloud platforms (GCP preferred):
BigQuery, Vertex AI, storage, compute
Containerisation (Docker)
Kubernetes basics
API-based services
DevOps & CI/CD
CI/CD pipelines (Jenkins, GitHub Actions, etc.)
Source control (Git)
Automated builds and deployments
Environment management
Reliability, Performance & Observability (Important)
Logging and monitoring basics
Performance tuning (latency of AI APIs, pipelines)
Understanding system failures and debugging
Awareness of scalability constraints
System & Solution Design (Team-Level)
Design small-to-medium

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