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.
- Benefits: Enjoy 25 days holiday, birthday off, learning budget, and social events.
- Other info: Hybrid work model with excellent career growth opportunities.
- Why this job: Make a real impact in healthcare with cutting-edge AI technology.
- Qualifications: Experience in programming, especially Go, and understanding of AI concepts.
The predicted salary is between 30000 - 35000 £ per year.
Location: Melton, Woodbridge, Suffolk
Salary: Up to £35,000 (depending upon experience)
Hybrid - office based Monday, Wednesday and Friday
We are looking for an 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.
AI Software Engineer in Woodbridge employer: X-on Health
At X-on, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Melton, Woodbridge, where innovation meets collaboration. Our hybrid working model promotes a healthy work-life balance, while our commitment to employee growth through learning and development budgets ensures that you stay at the forefront of the rapidly evolving AI landscape. With a strong focus on social benefits and a supportive culture, we create a workplace where every team member can thrive and contribute meaningfully to improving healthcare experiences for our NHS customers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer in Woodbridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work at X-on or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and backend development. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss how you’ve tackled complex issues in past projects.
✨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, it shows you’re genuinely interested in joining our team at X-on.
We think you need these skills to ace AI Software Engineer in Woodbridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Software Engineer role. Highlight your experience with Go, API integration, and any relevant projects that showcase your skills in AI and backend development.
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 makes you a great fit for our team. Don’t forget to mention your understanding of the healthcare context!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing practical examples of your work, especially if they involve LLMs or voice technology.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 experience aligns with their requirements.
✨Understand AI Concepts
Since this role involves working with AI and LLMs, take some time to understand key concepts like Context Windows, RAG, and System Prompts. Being able to discuss these topics will show that you’re not just technically proficient but also engaged with the field.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving problems related to algorithms, data structures, and design patterns. This will help you demonstrate your ability to tackle complex issues effectively.
✨Show Your Collaborative Spirit
This role is within a small agile team, so be prepared to discuss your experience working collaboratively. Share examples of how you’ve contributed to team projects and how you handle feedback and discussions with stakeholders.