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Sr. Software Engineer (AI)

Sheffield, UK

Team Description

We are looking for a Senior Software Engineer to join one of our engineering teams here in Sheffield.  Working as part of the Pendo Listen engineering group you will build tools that leverage AI to help our customers transform product feedback into insights they can use to improve their own software experiences.

 

Built in Go on top of Google Cloud Platform, Pendo’s back end architecture processes hundreds of thousands of events per second, integrating with various third party tools and services including LLMs to create insights from qualitative customer data.

As a senior software engineer you will be joining a strong team who love to build systems that scale in a collaborative environment between engineering, product, and design.

 

Role Responsibilities 

  • Lead the design and development of AI agent features (using Gemini/GCP infrastructure).
  • Take technical ownership of epics and cross-functional initiatives, setting the direction for others to follow.
  • Write clean, maintainable, scalable code with strong emphasis on performance.
  • Champion high engineering standards and lead by example in code reviews and design discussions.
  • Collaborate closely with product to deliver intelligent, high-quality user experiences.
  • Share knowledge generously, mentor mid and associate level engineers helping them level up.
  • Stay up to date with industry trends in AI, machine learning, and agent architecture. Bringing ideas back to help the team separate hype from value.
  • Bring a practical understanding of AI UX challenges, including latency, user trust, transparency, and failure handling.
  • Apply a working knowledge of Model Context Protocol (MCP) to create robust, context-aware AI systems.
  • Contribute to the ongoing evolution of our engineering culture and team processes.

 

Minimum Qualifications  

  • Proven experience delivering production-ready AI agent functionality.
  • Strong understanding of AI system design, including context orchestration (e.g. MCP), prompt engineering, and tool use.
  • Awareness of the UX, performance, and reliability pitfalls specific to AI-powered features.
  • 5+ years of experience building and scaling web applications.
  • Proficient with at least one modern backend language (e.g. Go, Python, Rust).
  • Strong grasp of software architecture, design principles, and API development.
  • Basic understanding of machine learning and deep learning fundamentals.
  • Effective mentor and communicator who supports the growth of others.
  • Comfortable providing technical guidance and helping resolve ambiguity on large-scale work.

 

Preferred Qualifications 

  • Experience working with Gemini models and GCP-native AI tooling.
  • Familiarity with real-time data pipelines or streaming architectures.
  • Prior work on context-aware or intelligent product experiences.
  • Experience with design systems or component libraries in a production setting.
  • Passion for continuously learning and sharing insights with the team.

EEOC

We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility

Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Compensation

Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.

Individual pay rate decisions, including offers made within and over the expected salary range, are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.

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