Back End Engineer AIML
Back End Engineer AIML
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Job Description
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 LLMpowered 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
- Design build and maintain scalable backend services to support LLMpowered features.
- Collaborate with machine learning engineers and data scientists to integrate LLMs and other AI models into our platform.
- Write maintainable highquality code and documentation to ensure longterm sustainability.
- Gain a deep understanding of the backend technology stack (Go GCP APIs databases) and related tools.
- Gain familiarity with backed technologies such as Python and NodeJS.
- Take ownership of tasks and projects collaborating with team members to break down work into manageable components.
- Actively participate in agile ceremonies refinement sessions and other team activities.
- Communicate ideas concerns and potential solutions effectively with technical and nontechnical stakeholders.
- Exhibit a growth mindset by demonstrating selfawareness and a commitment to continuous learning and improvement.
- Collaborate with product managers and designers to plan design and implement backend features that support new product capabilities.
- The role is hybrid remote/office based in our Sheffield office in Kelham Island.Working in the office 3 times a week
Minimum Qualifications
- 2 years of experience building backend services for production applications.
- Experience working with large language models (LLMs) or similar machine learning technologies.
- General understanding of machine learning techniques particularly around classification and topic extraction.
- Proficiency with a backend programming language (Go preferred but not required; Python is a plus).
- Solid understanding of backend architecture including APIs databases caching and distributed systems.
- Strong foundation in software engineering principles including data structures algorithms and software design.
Preferred Qualifications
- Bachelors or Masters degree in Computer Science Engineering or a related technical field.
- Experience deploying and maintaining machine learning models in production.
- Familiarity with tools and frameworks for working with LLMs (e.g. OpenAI APIs LangChain).
- Familiarity and experience with Search Databases (e.g. ElasticSearch) and semantic search
- Knowledge of cloud platforms and CI/CD workflows.
- Experience writing and maintaining unit and integration tests for backend systems.
- Experience with scalable data processing frameworks or message queues.
- Interest in staying uptodate with advancements in AI and machine learning.
- 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 societys experience with software.
Come join one of the fastestgrowing startups supported by bestinclass 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 Pendos 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.
Employment Type
Full Time
