Lead Software Engineer

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 role

As a Lead Software Engineer in our Customer Development team, you won't just build software - you'll lead the charge in deploying, customising, and scaling our groundbreaking Frontier platform directly with our enterprise clients.

As we continue to expand our platform's reach, you'll have the unique opportunity to build a scalable AI focussed product, remain close to live customer feedback whilst leading the way in technical best practices.

In this role, you'll be immersed in leading the deployment of Frontier in complex environments, tackling complex real-world challenges using state-of-the-art technology. From optimising multinational supply chain logistics to reducing time-to-market for clinical trials and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights.

Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence.

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What you will be doing

At the heart of Decision Intelligence for each customer lies one or more Computational Twins (CT). A CT is a digital representation of an existing business process in which decisions are made. Our platform enables a CT to show historical process performance, model future behaviour and simulate decisions..

As a Lead Software Engineer in the Customer Development team, you’ll lead the technical delivery of customer-facing projects, guiding a small, cross-functional team. You’ll collaborate directly with customers and their engineering teams to understand their systems and data, and help integrate Frontier into their workflows. This often includes extending or adapting our frontend, backend, and infrastructure-as-code components, as well as supporting the creation of Computational Twins that model complex real-world systems. You’ll play a hands-on role in shaping how Frontier is deployed and scaled in production environments, ensuring it delivers real impact from day one.

Your responsibilities will include

• Lead Client Engagements: Act as the primary technical authority and partner for our enterprise clients, guiding them from discovery through to successful production deployment.

• Mentor Your Squad: Lead and mentor a dedicated, cross-functional squad of engineers, fostering their growth and setting the standard for technical excellence and creative problem-solving.

• Architect & Build Solutions: Roll up your sleeves to design, build, and extend components of the Frontier platform (Python, TypeScript, IaC) to meet specific customer challenges and workflows.

• Bridge Product and Delivery: Be the crucial link between our customers and our core product teams. Translate customer needs and implementation challenges into actionable feedback and feature requests that shape the future of Frontier.

What You'll Bring to the Team

Leadership & Communication:

• Exceptional Communication: You have a proven ability to distill complex technical concepts for diverse audiences, from client-side engineers to senior business stakeholders. This is crucial for success.

• Pragmatic Leadership: Experience leading complex technical projects and mentoring other engineers, empowering them to do their best work.

• Customer-Centric Mindset: A genuine passion for working with customers, understanding their problems, and delivering solutions that provide immediate value.

Technical Expertise:

• Full-Stack Proficiency: Strong, hands-on experience in full-stack development, with a deep understanding of system architecture and design.

• Core Technologies: Expertise in Python and TypeScript/React.

• Infrastructure & Deployment: Solid knowledge of CI/CD pipelines (e.g., GitLab), Docker, and deploying applications on Kubernetes. Hands on experience deploying scalable applications in one of AWS, Azure or GCP.

• Testing & Quality: A demonstrated history of championing automated testing strategies to ensure robust and reliable code.

The Interview Process

1. Talent Team Screen (30 minutes)

2. Pair Programming Interview (90 minutes)

3. System Design Interview (90 Minutes)

4. Principles Interview (60 minutes)
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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:

• Unlimited Annual Leave Policy

• Private healthcare and dental

• Enhanced parental leave

• Family-Friendly Flexibility & Flexible working

• Sanctus Coaching

• Hybrid Working

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.