About this role
End Date Sunday 23 August 2026 We Support Flexible Working – Click here for more information on flexible working options
Flexible Working Options Hybrid Working Job Description Summary 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)
• 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