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- 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, cycle to work scheme, and a learning budget.
- 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.
- Other info: Inclusive workplace committed to equal opportunities and supporting applicants with disabilities.
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 & 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.
Graduate AI Software Engineer in Woodbridge 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 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
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us at StudySmarter. It shows initiative and enthusiasm!
We think you need these skills to ace Graduate AI Software Engineer in Woodbridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight any relevant projects or coursework that showcase your programming proficiency, especially in Go or similar languages.
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 technical challenges or contributed to projects, and don’t forget to mention your eagerness to learn and grow with us!
Showcase Your Technical Skills: In your application, be sure to mention your experience with APIs, asynchronous programming, and any exposure to LLMs. We want to see how you can contribute to our team and help us build amazing tools for our NHS customers.
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 this exciting opportunity to join our team in Melton, Woodbridge!
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 how your background in other languages like C++, Java, Rust, or Python can translate into working with Go.
✨Understand AI Concepts
Since the role involves working with AI and LLMs, take some time to understand key concepts like Context Windows, RAG, and System Prompts. Be prepared to discuss any practical experience you have with LLM APIs, as this will show your enthusiasm and readiness for the role.
✨Showcase Problem-Solving Skills
During the interview, be ready to tackle technical challenges. Think of examples from your past experiences where you diagnosed and solved complex issues. This will demonstrate your ability to contribute effectively within an agile team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects, team dynamics, and future developments in AI. This not only shows your interest but also helps you gauge if the company culture aligns with your values and career goals.
