At a Glance
- Tasks: Join a small agile team to develop innovative AI solutions for NHS customers.
- Company: X-on, a forward-thinking tech company in Melton, Woodbridge.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact by building next-gen call experiences and data tools.
- Qualifications: Recent graduates with a passion for AI and software development.
The predicted salary is between 25000 - 35000 £ per year.
Location: Melton, Woodbridge (Hybrid)
Salary: £25,000 - £35,000
Hybrid - Office based Monday, Wednesday and Friday
We are looking for a Graduate AI Software Engineer to join the team at X-on in Melton, Woodbridge. Within this role you will help build the infrastructure that powers our next generation of call experiences and data insight tools for our NHS customers.
Responsibilities:
- Work within a small agile team to solve technical challenges, develop new functionality and make non-functional improvements to our products and services.
- Understand business requirements and how they translate into technical design and development projects and tasks.
- Participate in architectural and design discussions and diagnose and troubleshoot complex technical issues.
- Work with stakeholders to progress and report on projects and tasks.
- Building Voice Agents: Developing and maintaining our Go-based Voice Agent API.
- Development: Contributing to our unified AI API that acts as the gateway between our telephony products and various AI providers.
Graduate AI Software Engineer in Suffolk employer: X-on Health
X-on is an exceptional employer that fosters a collaborative and innovative work culture, perfect for aspiring Graduate AI Software Engineers. Located in the picturesque Melton, Woodbridge, our hybrid working model allows for flexibility while being part of a dynamic team dedicated to enhancing NHS call experiences. We prioritise employee growth through hands-on experience with cutting-edge technology and encourage participation in architectural discussions, ensuring that every team member has the opportunity to contribute meaningfully to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI Software Engineer in Suffolk
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow graduates. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and software engineering. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms that simulate real interview scenarios to boost your confidence and performance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Graduate AI Software Engineer in Suffolk
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that are relevant to the Graduate AI Software Engineer role. Highlight any projects or coursework related to AI, software development, or working in agile teams.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be sure to mention specific technologies or methodologies you've worked with that align with our needs.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled technical challenges in the past. We love seeing candidates who can think critically and creatively when faced with complex issues.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at X-on Health
✨Know Your Tech
Make sure you brush up on the technologies mentioned in the job description, especially Go and AI APIs. Be ready to discuss how you've used these in your projects or studies, and think of examples that showcase your problem-solving skills.
✨Understand the Business
Get a good grasp of how your role as a Graduate AI Software Engineer will impact NHS customers. Research X-on and their products, and be prepared to discuss how you can contribute to improving call experiences and data insights.
✨Show Your Team Spirit
Since you'll be working in a small agile team, highlight your teamwork skills. Share experiences where you've collaborated effectively, tackled challenges together, or contributed to group projects. This will show that you're a great fit for their culture.
✨Ask Smart Questions
Prepare thoughtful questions about the role, the team dynamics, and the projects you'll be working on. This not only shows your interest but also helps you gauge if the company is the right fit for you. Think about asking about their approach to architectural discussions or how they handle troubleshooting.
