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- Tasks: Join a dynamic team to develop AI solutions for NHS call experiences and data insights.
- Company: X-on, a forward-thinking tech company in Melton, Woodbridge.
- Benefits: Up to £35,000 salary, hybrid work, and opportunities for learning and growth.
- Why this job: Make a real impact in healthcare by building innovative AI tools and solutions.
- Qualifications: Recent graduates with a passion for AI and software development.
- Other info: Collaborative environment with a focus on professional development and cutting-edge technology.
The predicted salary is between 28000 - 42000 £ per year.
Location: Melton, Woodbridge (Hybrid)
Salary: Up to £35,000 (depending upon experience)
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.
- Tool Creation: Developing "Tools" (Function Calling) that allow LLMs to interact with real-world data, enabling features such as consultant lookups (RAG) and clinical system integrations.
- Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data.
- Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context.
- Learning and Development: Keeping up to date with the rapidly changing AI landscape (e.g. exploring new models) and prototyping how they can be applied to our products.
- Operations: Optionally contribute to our AI infrastructure to help operate self-hosted open-source models.
- Testing.
Graduate AI Software Engineer in Suffolk employer: X-On Health
Contact Detail:
X-On Health Recruiting Team
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 alumni from your university. You never know who might have a lead on that perfect Graduate AI Software Engineer role.
✨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 like LeetCode or HackerRank to sharpen your skills and boost your confidence before the big day.
✨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, 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 is tailored to the Graduate AI Software Engineer role. Highlight any relevant projects or experiences that showcase your skills in AI, software development, and teamwork. We want to see how you can contribute to our agile team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at X-on. Be genuine and let us know what excites you about this opportunity.
Showcase Your Technical Skills: In your application, don’t forget to mention specific technical skills that are relevant to the role, like experience with Go, AI APIs, or data analysis. We love seeing candidates who can hit the ground running and help us tackle those technical challenges!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
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 similar technologies in your projects or studies.
✨Understand the Business
Familiarise yourself with the NHS and how technology impacts healthcare. This will help you connect your technical skills to real-world applications during the interview.
✨Show Your Problem-Solving Skills
Prepare examples of how you've tackled technical challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your thought process.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, and the company's vision for AI in healthcare. This shows your genuine interest and helps you assess if it's the right fit for you.
