At a Glance
- Tasks: Join a dynamic team to develop AI solutions for NHS call experiences.
- Company: X-on, an innovative tech company in Melton, Woodbridge.
- Benefits: Enjoy 25 days holiday, birthday off, and a learning budget.
- Other info: Flexible 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 backend programming and API integration is essential.
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 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
Software Ai Engineer - Remote in Suffolk, Woodbridge employer: X-on Health
X-on is an exceptional employer located in Melton, Woodbridge, offering a dynamic work environment for Graduate AI Software Engineers. With a strong focus on employee growth, we provide extensive learning and development opportunities, including a dedicated budget for professional qualifications and a supportive culture that encourages innovation and collaboration. Our hybrid working model, generous holiday allowance, and commitment to diversity and inclusion make X-on a rewarding place to build a meaningful career in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Software Ai Engineer - Remote in Suffolk, Woodbridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use 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, it shows you’re genuinely interested in joining our team at X-on.
We think you need these skills to ace Software Ai Engineer - Remote in Suffolk, Woodbridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your programming proficiency, especially in Go or any relevant languages, and showcase any projects that demonstrate your understanding of AI and API integration.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our team. Mention specific projects or experiences that relate to the responsibilities listed in the job description, like building voice agents or working with LLM APIs.
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 diagnose and troubleshoot complex issues, so don’t hold back on sharing your thought process and solutions.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
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 your enthusiasm and readiness for the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice coding challenges and be prepared to explain your thought process. This will demonstrate your ability to tackle complex technical issues effectively.
✨Show Your Team Spirit
This position is within a small agile team, so highlight your teamwork skills. Share examples of how you’ve collaborated with others in past projects, as well as how you handle feedback and contribute to group discussions.
