Job Description
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
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