Lead SWE

**End Date** Sunday 23 August 2026 [**We Support Flexible Working – Click here for more information on flexible working options**](http://www.lloydsbankinggroup.com/careers/culture-and-inclusion/agile-working.html) **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