At a Glance
- Tasks: Develop cutting-edge AI software and collaborate with a talented team on innovative projects.
- Company: Join Faculty, a leader in human-centric AI solutions with a diverse and curious team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with brilliant minds and excellent career development opportunities.
- Why this job: Make a real impact by transforming decision-making with AI and machine learning.
- Qualifications: Strong maths skills, Python proficiency, and experience with cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
About Faculty
At Faculty, we transform organisational performance through safe, impactful and human‑centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.
About the Role
We’re actively seeking skilled engineers to develop our cutting‑edge product, Frontier. Working within the core Platform, this role will require a mix of backend services and cloud infrastructure related work to develop Frontier – our next generation Decision Intelligence AI platform. As we continue to expand our platform’s reach, you’ll have the unique opportunity to build a scalable AI‑focused product, whilst leading the way in best technical practices. In this role, you’ll be immersed in hands‑on work, 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.
What you will be doing:
- Collaborating with other Engineers in the team, developing and implementing AI‑driven software solutions built on a modern, cloud native architecture.
- Helping define and develop the architecture for the team’s deliverables.
- Engaging in code reviews & pair programming with other engineers, directly impacting customer projects and outcomes.
- Working in an Agile environment with cross‑functional teams, including data scientists, project managers, and business stakeholders, to understand customer needs and translate them into technical requirements.
What we are looking for:
We’re seeking a candidate with the following qualifications:
- Strong mathematical mindset
- Proficiency in Python, and its use in building modern web applications using frameworks such as FastAPI or Flask.
- Familiarity with at least one Infrastructure as Code platform (Terraform/CDK, CloudFormation).
- Experience with PostgreSQL, MySQL or other similar relational database technologies. Experience with Data Warehousing is considered a plus.
- Knowledge of modern CI/CD pipelines (GitLab, GitHub or equivalent).
- Strong understanding of system architecture and design.
- Experience deploying enterprise applications on the cloud.
- Experience collaborating with Product Managers to ensure delightful customer experiences.
- Expertise in Docker with deployment on Kubernetes preferred.
What we can offer you:
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
Product Software Engineer employer: Dormont Manufacturing Co
At Faculty, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our diverse team of experts, providing opportunities to learn from industry leaders while working on impactful AI solutions. Located in a vibrant environment, you'll enjoy the chance to tackle real-world challenges alongside passionate colleagues, making a meaningful difference in how organisations leverage AI.
StudySmarter Expert Advice🤫
We think this is how you could land Product Software Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Faculty on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This insider info can give you a leg up!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice problems relevant to Python and system architecture. The more comfortable you are, the better you'll perform!
✨Tip Number 3
Showcase your projects! If you've worked on AI-driven software solutions or cloud-native applications, make sure to highlight these in your discussions. Real-world examples can really impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Faculty team!
We think you need these skills to ace Product Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in Python, cloud infrastructure, and any relevant projects you've worked on. We want to see how you can contribute to our cutting-edge product!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background aligns with our mission at Faculty. Show us your passion for AI and decision intelligence – we love to see that enthusiasm!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them. We’re interested in seeing your hands-on experience with modern web applications, cloud deployment, and any innovative solutions you've developed.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Faculty!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and frameworks like FastAPI or Flask. Brush up on your knowledge of Infrastructure as Code platforms and database technologies, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world challenges you've tackled in previous roles. Think about how you’ve used AI-driven solutions to solve complex problems, and be ready to explain your thought process and the impact of your work.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be prepared to share examples of how you’ve successfully collaborated with engineers, data scientists, and product managers. Highlight your experience in Agile environments and how you’ve contributed to team success.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team’s current projects, the challenges they face, or how they measure success in their AI initiatives. This demonstrates your enthusiasm and helps you gauge if it’s the right fit for you.
