Back End Engineer, AI/ML

Role Description

We are looking for a 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 help our customers transform product feedback into insights they can use to improve their own software experiences.

You will focus on developing LLM-powered features and building backend systems that enable our platform to extract insights from qualitative customer data. Familiarity with machine learning techniques, particularly around large language models (LLMs), is essential for this role.

As a back end engineer, you will join a collaborative team that values scalability, maintainability, and innovation, working alongside engineering, product, and design teams.

Role Responsibilities

1. Design, build, and maintain scalable backend services to support LLM-powered features.
2. Collaborate with machine learning engineers and data scientists to integrate LLMs and other AI models into our platform.
3. Write maintainable, high-quality code and documentation to ensure long-term sustainability.
4. Gain a deep understanding of the backend technology stack (Go, GCP, APIs, databases) and related tools.
5. Gain familiarity with backend technologies such as Python and NodeJS.
6. Take ownership of tasks and projects, collaborating with team members to break down work into manageable components.
7. Actively participate in agile ceremonies, refinement sessions, and other team activities.
8. Communicate ideas, concerns, and potential solutions effectively with technical and non-technical stakeholders.
9. Exhibit a growth mindset by demonstrating self-awareness and a commitment to continuous learning and improvement.
10. Collaborate with product managers and designers to plan, design, and implement backend features that support new product capabilities.
11. The role is hybrid remote/office based in our Sheffield office in Kelham Island. Working in the office 3 times a week.

Minimum Qualifications

1. 2+ years of experience building backend services for production applications.
2. Experience working with large language models (LLMs) or similar machine learning technologies.
3. General understanding of machine learning techniques, particularly around classification and topic extraction.
4. Proficiency with a backend programming language (Go preferred, but not required; Python is a plus).
5. Solid understanding of backend architecture, including APIs, databases, caching, and distributed systems.
6. Strong foundation in software engineering principles, including data structures, algorithms, and software design.

Preferred Qualifications

1. Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.
2. Experience deploying and maintaining machine learning models in production.
3. Familiarity with tools and frameworks for working with LLMs (e.g., OpenAI APIs, LangChain).
4. Familiarity and experience with Search Databases (e.g., ElasticSearch) and semantic search.
5. Knowledge of cloud platforms and CI/CD workflows.
6. Experience writing and maintaining unit and integration tests for backend systems.
7. Experience with scalable data processing frameworks or message queues.
8. Interest in staying up-to-date with advancements in AI and machine learning.
9. Experience with frontend technologies and frameworks (e.g. VueJS, Angular).

Pendo Description:

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers -- a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software.

Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. You will gain experience in a diverse and exciting set of technologies and clients and have a real impact on Pendo's future. Our culture is passionate, dynamic, and fun.

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: . 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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