At a Glance
- Tasks: Join a dynamic team to develop AI-driven call experiences and data insights for NHS customers.
- Company: X-on, an innovative tech company in Melton, Woodbridge with a hybrid work culture.
- Benefits: Enjoy 25 days holiday, birthday off, learning budget, and social events.
- Other info: Equal opportunities employer committed to inclusivity and career growth.
- Why this job: Make a real impact in healthcare tech while growing your skills in AI and software development.
- Qualifications: Foundation in backend programming, preferably Go, and experience with APIs and AI concepts.
The predicted salary is between 25000 - 35000 £ per year.
Location: Melton, Woodbridge (Hybrid)
Salary: £25,000 - £35,000
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 & Validation: Development of tooling to assist our Test Team in conducting evals against our many provider models to ensure we are continually optimising for quality and cost.
Skills Required:
- Competent in primary tech stack.
- Confident with computer science basics (algorithms, data structures, complexity, design patterns).
- Is productive with the basic tools in their discipline.
Key Skills:
- Can contribute to an existing framework.
- Adheres to test coverage standards.
- Regularly applies learnings from past experience.
Programming Proficiency:
- Foundation in a backend language. Our stack is primarily Go (Golang), so experience with Go or a strong willingness to cross-train from C++/Java/Rust/Python is required.
API Integration:
- Experience consuming RESTful APIs and understanding of JSON data structures.
AI/LLM Exposure:
- Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature.
Concurrency:
- Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data.
Benefits:
- 25 Days Holiday.
- Birthday Day Off.
- Buy Holiday Scheme.
- Cycle to Work Scheme.
- Winter Flu Jabs.
- Free On-Site Parking.
- Learning and development budget with Professional Qualification Support.
- Social benefits (paid social events).
SCG is proud to be an equal opportunities employer. We welcome applications from all parts of the community and are committed to upholding the principles of the Equality Act 2010. We are committed to supporting applicants with disabilities. We will endeavour to make necessary adjustments to ensure a fair and accessible recruitment process.
Locations
Graduate AI Software Engineer in Suffolk, Woodbridge employer: X-on Health
X-on is an exceptional employer located in the picturesque Melton, Woodbridge, offering a dynamic hybrid work environment that fosters innovation and collaboration. With a strong commitment to employee growth, we provide extensive learning and development opportunities, including a dedicated budget for professional qualifications and a supportive culture that values diversity and inclusion. Our benefits package, which includes generous holiday allowances, social events, and wellness initiatives, ensures that our team members thrive both personally and professionally while contributing to meaningful projects that enhance healthcare experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI Software Engineer in Suffolk, Woodbridge
✨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. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. Tailor your application to highlight how your skills align with the role and our mission.
We think you need these skills to ace Graduate AI Software Engineer in Suffolk, Woodbridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Graduate AI Software Engineer role. Highlight any relevant projects or coursework, especially those involving Go, APIs, or AI technologies.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and software engineering. Share specific examples of how you've tackled challenges in the past and how they relate to the responsibilities listed in the job description.
Showcase Your Technical Skills:Don’t just list your technical skills; demonstrate them! If you’ve worked with Go, RESTful APIs, or LLMs, include details about your experience and any projects where you applied these skills.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at X-on Health
✨Know Your Tech Stack
Make sure you’re familiar with the primary tech stack mentioned in the job description, especially Go (Golang). Brush up on your programming skills and be ready to discuss algorithms, data structures, and design patterns. This will show that you’re not just a graduate but someone who’s genuinely interested in the role.
✨Understand the Role of AI
Since this position involves working with AI and LLMs, take some time to understand how these technologies work. Familiarise yourself with concepts like context windows and system prompts. Being able to discuss these topics will demonstrate your enthusiasm and readiness to contribute to the team.
✨Prepare for Technical Challenges
Expect to face technical challenges during the interview. Practice problem-solving questions related to backend development and API integration. You might even want to do some mock interviews with friends or use online platforms to sharpen your skills.
✨Show Your Team Spirit
This role is all about working within a small agile team, so be prepared to talk about your experiences collaborating with others. Share examples of how you’ve contributed to team projects, tackled challenges together, and communicated effectively. This will highlight your ability to fit into their team culture.
