Staff Ai Engineer

BP Retail UK

Pune, India
Hybrid (office/remote)
Design and deploy scalable ai applications
Software engineering principles
Modern data science and ai capabilities
BP Retail UK is seeking a Staff AI Engineer for their Pune, India location, focusing on engineers who can design and deploy scalable AI applications. The role requires strong technical leadership and expertise in software engineering, AI tooling, and collaboration across teams

Job Summary

  • As a Staff AI Engineer, you’ll play a critical role in designing, building and deploying scalable AI-powered applications through proven software engineering completion combined with pragmatic use of modern Data Science and AI capabilities.
  • We’re looking for strong technical leaders who thrive at the intersection of well-adapted software development and modern AI application.
  • If you're passionate about building AI solutions that go beyond prototypes—solutions that are engineered for scale, reliability, and real-world value—AI Acceleration is the team for you.

Matching Summary

Match Score: 85

BP Retail UK is seeking a Staff AI Engineer for their Pune, India location, focusing on engineers who can design and deploy scalable AI applications. The role requires strong technical leadership and expertise in software engineering, AI tooling, and collaboration across teams.

Skills & Requirements

Must-have

  • design and deploy scalable AI applications
  • software engineering principles
  • modern Data Science and AI capabilities
  • CI/CD, testing, observability
  • cloud-native design
  • integrate AI tools, frameworks, and APIs
  • champion automation in workflows

Nice-to-have

  • systems thinking and ownership mindset
  • navigate ambiguity and drive execution
  • practical application over experimental research
  • build reusable modeling components

Key Requirements

  • 7+ years of professional software engineering experience
  • Strong programming skills in Python, Java, or similar
  • Solid understanding of software architecture and cloud infrastructure
  • Experience integrating machine learning models into production
  • Experience with large language models (LLMs) and RAG patterns
  • Strong technical mentorship and cross-team influence

Work Rights

Not specified

Tailored Resume

Cover Letter