Job Description

End Date

Sunday 21 June 2026

We Support Flexible Working – Click here for more information on flexible working options

Flexible Working Options

Hybrid Working1. 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

Role: Lead Software Engineer
Experience: 10-15 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
• 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 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