At a Glance
- Tasks: Create innovative AI solutions and collaborate with diverse teams to optimise workflows.
- Company: Join a leading tech firm focused on cutting-edge AI development.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on ethical AI practices and continuous learning.
- Why this job: Make a real impact by developing user-friendly AI products that enhance efficiency.
- Qualifications: Degree in Computer Science or related field; experience with LLMs and backend engineering.
The predicted salary is between 60000 - 80000 £ per year.
How you'll make an impact
- Partner with product managers, non‑technical business users and engineers to research, validate, and deliver high‑impact Generative AI use cases.
- Design and build user‑facing products that leverage AI capabilities for optimising internal workflows with a focus on adoption and user satisfaction.
- Build, deploy, measure and iterate on LLM‑based applications (e.g., agents, knowledge extraction, automation solutions).
- Develop end‑to‑end AI solutions on cloud platforms (AWS, GCP, or Azure) taking a build‑it‑yourself attitude to the entire development lifecycle including test suites, deployment pipelines (CI/CD), agent evaluations and observability.
- Design systems that continuously optimise performance, reliability, and scalability of AI systems.
What we're looking for
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- AI & LLM Expertise: Hands‑on experience with LLMs (e.g., GPT, Gemini, Claude) and applying them to real‑world problems.
- Backend Proficiency: Strong backend engineering expertise, including RESTful APIs and micro‑services design.
- Technical Stack: Proficiency in Python/JavaScript/TypeScript and familiarity with AI frameworks (e.g., LangChain, Pydantic, AI and Google Agent Development Kit).
- Cloud & Infrastructure: Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‑as‑Code (Terraform).
- Soft Skills: Proven problem‑solving skills and ability to thrive in fast‑paced environments, with excellent communication and collaboration skills across diverse teams.
Preferred qualifications
- Proficiency in Python.
- Frontend development experience with JavaScript/TypeScript and frameworks such as React.
- Experience developing Generative AI applications, including model fine‑tuning and prototyping.
- Awareness of ethical AI practices and emerging standards in AI governance.
- Track record of rapid prototyping with measurable ROI.
- Contributions to open‑source projects or a strong GitHub portfolio.
- High technical curiosity and eagerness to learn new platforms.
Software Engineer, AI Centre of Excellence employer: Dormont Manufacturing Co
Join our dynamic AI Centre of Excellence, where innovation meets collaboration in a vibrant work culture that prioritises employee growth and satisfaction. As a Software Engineer, you'll have the opportunity to work on cutting-edge Generative AI projects, with access to continuous learning and development resources, all while enjoying the benefits of a supportive team environment in a location that fosters creativity and technological advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, AI Centre of Excellence
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Dormont Manufacturing Co or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Dormont Manufacturing Co.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Dormont Manufacturing Co.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Dormont Manufacturing Co that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer, AI Centre of Excellence
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Dormont Manufacturing Co.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Dormont Manufacturing Co and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Dormont Manufacturing Co uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
