At a Glance
- Tasks: Develop cutting-edge AI software and collaborate with a talented team.
- Company: Join Faculty, a leader in human-centric AI solutions for global customers.
- Benefits: Enjoy a diverse team, professional growth, and the chance to work on impactful projects.
- Why this job: Be part of transforming decision-making with AI while learning from brilliant minds.
- Qualifications: Proficiency in Python, familiarity with frontend tech, and experience with cloud infrastructure.
- Other info: Register your interest to be first in line for future Software Engineer openings.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Why Faculty?
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle – and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
About the team
The Faculty Frontier ™ product is our ambitious vision to create the first enterprise‑grade platform that unifies decision intelligence with AI Agents to optimise real‑world outcomes of critical processes across large‑scale organisations. You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences.
About the role
This role is pivotal in scaling our Decision Intelligence offering, providing AI capabilities that drive high‑impact decisions across various industries. You will tackle genuinely complex technical challenges, build a scalable, cutting‑edge AI product, and lead technical best practices while remaining close to live customer feedback. This is an opportunity to transform how organisations thrive by revolutionising decision‑making with AI and machine learning.
What you\’ll be doing:
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Serving as a strong technical contributor within a cross‑functional Delivery Squad, collaborating on impactful customer solutions.
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Working directly with customer stakeholders and engineering teams to integrate Frontier into existing systems, data sources, and workflows.
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Building and extending the product using primary languages such as Python and TypeScript.
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Contributing to the technical delivery of customer‑facing projects and helping to shape how Frontier is deployed and scaled in production environments.
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Collaborating across the wider Frontier engineering organisation to implement new features and improve the product\’s user experience.
Who we\’re looking for:
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You bring full‑stack engineering expertise, particularly with Python, TypeScript, and React.
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You possess a strong understanding of system architecture and design principles.
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You have a history of championing and implementing automated testing strategies across all levels.
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You are experienced in working autonomously in a fast‑paced environment, sometimes introducing creative approaches to difficult problems.
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You are comfortable collaborating effectively with cross‑functional teams, including Product Managers and Product Designers, to ensure delightful customer experiences.
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You have hands‑on experience with core technologies, including PostgreSQL and containerisation (Docker with Kubernetes deployment is preferred).
Interview Process
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Talent Team Screen (30 mins)
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Pair Programming Interview (90 mins)
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System Design (90 mins)
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Principles interview (60 mins)
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Our Recruitment Ethos
We aim to grow the best team – not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:
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Unlimited Annual Leave Policy
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Private healthcare and dental
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Enhanced parental leave
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Family‑Friendly Flexibility & Flexible working
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Sanctus Coaching
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Hybrid Working (2 days in our Old Street office, London)
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat – talent@faculty.ai. Please know we are open to conversations about part‑time roles or condensed hours.
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Software Engineer employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Being able to discuss current advancements and how they relate to Faculty's work will show your genuine interest and understanding of the field.
✨Tip Number 2
Engage with the Faculty community on platforms like LinkedIn or GitHub. By following their updates and contributing to discussions, you can demonstrate your enthusiasm and potentially connect with current employees.
✨Tip Number 3
Brush up on your Python skills, especially with frameworks like FastAPI. Consider building a small project that showcases your ability to create web applications, as this practical experience can set you apart.
✨Tip Number 4
Prepare to discuss your experience with cloud infrastructure and CI/CD pipelines. Be ready to share specific examples of how you've implemented these technologies in past projects, as this will highlight your technical expertise.
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Understand the Company: Before applying, take some time to understand Faculty's mission and values. Familiarise yourself with their work in AI and how they transform organisational performance. This knowledge will help you tailor your application.
Highlight Relevant Skills: Make sure to emphasise your proficiency in Python and any experience with web applications, cloud infrastructure, and databases. Mention any familiarity with tools like Terraform or Docker, as these are crucial for the role.
Showcase Your Experience: In your CV and cover letter, provide specific examples of past projects where you've developed AI-driven solutions or worked in an Agile environment. This will demonstrate your capability to handle the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your skills but also expresses your enthusiasm for working at Faculty. Discuss how your background aligns with their goals and how you can contribute to their innovative projects.
How to prepare for a job interview at Faculty
✨Showcase Your Python Skills
Since the role requires proficiency in Python, be prepared to discuss your experience with it. Bring examples of projects where you've used Python to build web applications, especially with frameworks like FastAPI.
✨Understand AI and Cloud Technologies
Familiarise yourself with AI-driven software solutions and cloud-native architectures. Be ready to explain how you've applied these technologies in past projects, as this will demonstrate your alignment with Faculty's mission.
✨Prepare for Technical Questions
Expect technical questions related to system architecture, CI/CD pipelines, and database technologies. Brush up on your knowledge of tools like Terraform or Docker, as well as your understanding of relational databases like PostgreSQL.
✨Emphasise Collaboration and Agile Experience
Highlight your experience working in Agile environments and collaborating with cross-functional teams. Share specific examples of how you've engaged with product managers and other stakeholders to deliver successful projects.