About the role The Physical Network Inventory team is responsible for maintaining the critical inventory systems used to plan, design, and build the Openreach network. These systems have played a key role in supporting Openreach's nationwide full fibre rollout across the UK. In this role, you will contribute to the design, development, and support of AI-powered solutions, including copilots, intelligent automation tools, and workflow systems that enhance engineering productivity, streamline operations, and deliver improved business outcomes.

What you’ll be doing

AI Development & Implementation

- Design, develop, and deploy AI-powered agents and automation solutions.
- Build and maintain integrations between AI solutions and enterprise applications using APIs and microservices.
- Implement AI capabilities within the Software Development Lifecycle (SDLC) for platform applications.
- Leverage AI-assisted development tools such as Kiro, GitHub Copilot, Cursor, and Amazon Q to improve productivity and code quality.
- Develop agent-based workflows that automate routine tasks and enhance decision-making processes.

Architecture & Design

- Contribute to the design and implementation of scalable AI solution architectures.
- Develop and maintain reusable prompt templates and prompt engineering patterns.
- Apply AI design patterns such as Retrieval Augmented Generation (RAG), ReAct, Prompt Chaining, and Planner-Executor workflows.
- Integrate AI solutions with existing applications, data sources, and business processes.
- Manage context and memory within AI applications to improve user experience and solution effectiveness.

Solution Development

- Develop AI-enabled services using Large Language Models (LLMs) and supporting technologies.
- Build and maintain APIs and services that enable AI agents to interact with internal and external systems.
- Create agentic workflows to automate operational tasks and business processes.





AI Evaluation & Continuous Improvement

- Monitor and evaluate AI solution performance using defined metrics and benchmarks.
- Measure and improve solution accuracy, task success rates, response latency, runtime efficiency, and operational costs.
- Conduct prompt tuning, testing, experimentation, and performance analysis to improve AI outcomes.

Essential Skills / Experience

- 4-6 years of software engineering experience, including 2-3 years working with AI-enabled solutions.
- Strong understanding of prompt engineering and creating structured, reusable prompts.
- Knowledge of Retrieval Augmented Generation (RAG) concepts and applications.
- Experience developing APIs and microservices.
- Understanding of Model Context Protocol (MCP) concepts.
- Knowledge of AI design patterns including ReAct, Planner-Executor, and Chain-of-Thought prompting.
- Proficiency in Python and/or Node.js.
- Experience with vector databases such as Pinecone, FAISS, or Azure AI Search.
- Experience with Azure AI Services or AWS Bedrock.
- Experience building APIs, integrating external services, and developing AI-powered applications.
- Experience with AI-native IDEs and modern AI development tools.
- Exposure to agent-based and workflow-driven AI solutions.
- Experience supporting or developing LLM-based applications and prompt engineering solutions.
- Bachelor’s or Master’s degree in Computer Science Engineering, or related field.

About BT

BT is the UK’s leading communications group and the holding company behind some of the country’s most recognised brands – including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.

Joining BT means working at the heart of a business that matters to the UK, with the chance to shape decisions, influence outcomes and help set the future course of one of the country’s most important companies.

📌 Software Development Engineer (Bengaluru)
🏢 BT Group
📍 Bengaluru