End Date
Sunday 23 August 2026We Support Flexible Working – Click here for more information on flexible working options
Flexible Working Options
Hybrid WorkingJob Description 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 scopeJob 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
Skills Required
- Minimum 10 years experience in NLP, Document AI, and AI-driven data processing systems
- Strong software engineering skills focused on clean, scalable, production-grade solutions
- Hands-on experience with data pipelines and cloud-native platforms (GCP)
- NLP fundamentals: text extraction, classification, entity recognition
- Document AI skills: OCR, document parsing, structured/unstructured data extraction
- Experience with LLMs/Generative AI including prompt engineering and RAG
- Knowledge of document workflows (input -> processing -> enrichment -> output)
- Data engineering: ETL/ELT, batch and streaming data processing, handling large document datasets
- Experience with SQL and BigQuery or similar data platforms
- Strong programming skills in Python and Java
- Containerization with Docker and basic Kubernetes knowledge
- CI/CD and DevOps experience (Jenkins, GitHub Actions or similar)
- Source control experience (Git)
- Unit and integration testing; code reviews and engineering best practices
- Logging, monitoring, performance tuning, and debugging production systems
- API-first design, modularization, and system/solution design for small-to-medium systems
- Experience working in Agile teams with product owners, data scientists, and platform teams
What We Do
Lloyds Technology Centre is the Global Capability Centre of Lloyds Banking Group, based in Hyderabad, India. It functions as a tech and data company providing engineering expertise in cloud computing, data analytics, and cybersecurity. The centre supports the digital transformation of Lloyds Banking Group, a leading UK financial services provider, and operates primarily in the IT services and consulting sector.
