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Senior Software Engineer

End Date

Sunday 12 July 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

Key Accountabilities

1. Document AI Solution Development

  • Design and implement document processing workflows, including classification, extraction, and validation steps

2. AI Model Integration and Workflow Orchestration

  • Support integration of AI/ML and generative AI models into document processing workflows
  • Define and manage workflow execution steps, ensuring traceability and consistency of outputs
  • Support execution monitoring through defined workflow steps and execution tracking mechanisms

3. Data Processing and Platform Integration

  • Configure document ingestion, processing, and output flows across platform components
  • Enable integration with on-prem and cloud downstream systems via APIs and automation layers
  • Ensure solutions align with enterprise architecture and interoperability requirements

4. Operational Support and Performance Monitoring

  • Support live DocAI use cases by monitoring performance, accuracy, and usage
  • Provide analysis of processing volumes and success rates where available
  • Contribute to the generation and improvement of operational reporting and insights
  • Resolve incidents raised for both on-prem and cloud solutions

5. Continuous Improvement and Problem Resolution

  • Identify gaps in current capabilities, including reporting, scalability, and data availability
  • Investigate constraints such as data retention or system limitations and propose viable solutions
  • Support ongoing enhancement of platform capabilities and delivery practices

6. Collaboration and Stakeholder Engagement

  • Work closely with Product Owners, engineers, and platform teams to deliver DocAI capabilities
  • Participate in regular forums and working sessions to support delivery and continuous improvement
  • Contribute to the evolution of reusable, platform-based document intelligence solutions

Skills and Experience

Technical Skills

  • Extensive experience of at least one high-level programming language, preferably Python and Typescript
  • Experience building solutions following Infrastructure as Code best practices employing Terraform
  • Hands-on experience building solutions for the public cloud (GCP)
  • Experience working with and building CI/CD pipelines
  • Experience with AI/ML or document intelligence technologies
  • Understanding of workflow orchestration and pipeline design
  • Familiarity with API-based integration and enterprise platforms

Core Capabilities

  • Analytical problem-solving and data interpretation
  • Attention to detail and accuracy in solution design
  • Ability to assess and make design decisions
  • Ability to work with structured and unstructured data
  • Strong collaboration across technical and product teams

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