BT GroupPod Engineer
BT Group is hiring a Pod Engineer in Bengaluru, India. Level rates it ; you can apply on Level.
AI in this role
About the role
The Pod Engineer is a hands‑on software engineer who delivers high‑quality software as part of a small, outcome‑focused pod of typically 4–5 engineers. The role operates in an AI‑native delivery model, where AI tools and agents are used across the software development lifecycle (SDLC) to accelerate delivery, improve quality, and reduce manual effort.
Unlike traditional engineering roles, the Pod Engineer is expected to work with AI as a core delivery partner, using AI tools for requirements gathering, design exploration, code generation, testing, documentation, and optimisation—while remaining for correctness, security, and production readiness.
What you’ll be doing
1) Hands‑On Software Delivery
• Develop, build, validate, and deploy software components as part of a delivery pod.
• Contribute production‑quality code across backend, frontend, APIs, or integration layers, depending on the pod’s scope.
• Own features end‑to‑end—from articulating requirements through to deployment and support.
2) AI‑Enabled SDLC Execution
• Leverage AI tools across the SDLC to accelerate acceptance criteria clarity, and enable secure code generation and optimization.
Utilize AI to develop and maintain automation while streamlining documentation and release artefact creation.
• Continuously improve personal and pod‑level productivity through effective AI usage.
3) Engineering Quality & Standards
• Write clean, maintainable, well verified code aligned to the engineering standards.
• Participate actively in code reviews and pair programming.
• Follow secure coding practices and ensure solutions meet performance, reliability, and resilience expectations.
4) Pod Collaboration
• Work closely with the Pod Lead Engineer and other Pod Engineers to deliver outcomes as a cohesive unit.
• Contribute to daily planning, reviews, and retrospectives.
• Support knowledge sharing, experimentation, and continuous improvement within the pod.
5) Learning & Capability Development
• Continuously develop skills in modern software engineering and AI‑assisted development techniques.
• Adopt and share good practices for prompt design, AI evaluation, and safe AI usage.
• Stay current with emerging tools, frameworks, and patterns relevant to AI‑enabled engineering.
6) Governance, Risk & Responsible Engineering
• Adhere to security, data protection, and governance requirements.
• Flag risks, defects, or concerns early—especially those introduced by AI‑assisted development.
• Ensure delivery artefacts are complete, auditable, and fit for production use.
Essential Skills / Experience
• Strong experience as a software engineer delivering production systems.
• Solid foundations in software engineering fundamentals: data structures, APIs, CI/CD, and debugging.
• Hands on expertise in Java with React, PostgreSQL, Neptune DB.
• Strong credentials in Cloud environments like AWS.
• Experience working in Agile delivery environments.
• Practical exposure to AI‑assisted development tools (e.g. Copilot, Amazon Kiro, Claude Code, automated testing, AI‑enabled documentation).
Desirable Skills / Experience
• Experience working in small squads or pods with shared ownership of outcomes.
• Familiarity with cloud platforms and modern delivery pipelines.
• Curiosity and enthusiasm for using AI to improve how software is built
How we rate this
Pod Engineer at BT Group rates 55 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide that one model's output is better than another's for a given task?
- What are the limits of Claude that you've run into, and how did you work around them?
- What's a project where you used Copilot hands-on?
- Walk me through how you've used Claude Code in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI Evaluation, Claude, Copilot, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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