End Date

Sunday 23 August 2026

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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

- 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)





Strong 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

Workplace 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 systems

API-first design thinking

Integration of AI + data + services

Understanding trade-offs (performance vs cost vs complexity)

Collaboration & Delivery

Work with

Product owners

Data scientists

Platform teams

Agile practices (stories, sprints, backlog)

Communicate technical solutions clearly

📌 Lead Software Engineer (Hyderabad)
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