Senior Software Engineer

Posted Yesterday
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Hyderabad, Telangana, IND
In-Office
Senior level
Information Technology • Software • Consulting • Financial Services
The Role
Design and deliver end-to-end AI-enabled solutions focused on NLP and Document AI. Build scalable data pipelines (batch/streaming), integrate LLMs and RAG, implement production-grade software on cloud (GCP), containerise services, enable CI/CD, ensure observability and performance, and collaborate with product owners and data scientists.
Summary Generated by Built In

End Date

Monday 29 June 2026

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

Flexible Working Options

Hybrid Working

Job Description Summary

Lloyds Banking Group is the UK’s largest Digital, Retail and Commercial Bank with a focus on Helping Britain Prosper.
We’re on the mission to build the bank of the future, and we need your help do it. Continuing our extensive transformation programme, we're redefining what a bank is from the inside out. Our technology, our culture, and our mind-set is changing to craft a true engineering-led organisation.

Job Description

Role: Senior/Lead Software Engineer
Experience: 4-15 years
Location: Hyderabad
Job Type: Full Time

Role Description & Responsibilities:

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

AI, NLP & Document AI (Primary Differentiator)

  • NLP fundamentals:
  • Text extraction, classification, entity recognition
  • Document AI:
    • OCR, document parsing, structure
    • d/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

  • Expertise in NLP and Document AI (text extraction, classification, entity recognition, document parsing)
  • Experience with OCR and unstructured/structured document data extraction
  • Experience with LLMs/Generative AI, prompt engineering and Retrieval-Augmented Generation (RAG)
  • Strong programming skills in Python
  • Strong programming skills in Java
  • Experience building data pipelines (ETL/ELT), batch and streaming data processing
  • Experience with SQL and BigQuery or similar data platforms
  • Experience with GCP (BigQuery, Vertex AI, storage, compute)
  • Containerisation with Docker and Kubernetes basics
  • CI/CD pipeline experience (Jenkins, GitHub Actions, etc.) and source control (Git)
  • Unit and integration testing, code reviews and engineering best practices
  • Logging, monitoring, performance tuning and observability experience
  • Ability to design small-to-medium systems, API-first design and integrate AI, data and services
  • Experience handling large document datasets and data transformation/enrichment
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The Company
65,000 Employees
Year Founded: 2009

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.

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