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- Tasks: Join a dynamic team to develop AI-driven call experiences and data insights for the NHS.
- 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 professional development support.
- Why this job: Make a real impact in healthcare by building cutting-edge AI tools and solutions.
- Qualifications: Experience in backend programming, especially Go, and a passion for AI technologies.
- Other info: Inclusive workplace committed to equal opportunities and supporting applicants with disabilities.
The predicted salary is between 25000 - 35000 £ per year.
Location: Melton, Woodbridge (Hybrid)
Salary: £25,000 - £35,000
Hybrid- Office based Monday, Wednesday and Friday
We are looking for a Junior 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
Junior AI Software Engineer in Suffolk, Woodbridge employer: X-On Health
Contact Detail:
X-On Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior 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 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 or GitHub repository showcasing your projects, especially those related to AI and software engineering. This gives employers a tangible look at what you can do beyond your 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. Remember, confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at X-on. Don’t miss out on this opportunity!
We think you need these skills to ace Junior 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 Junior AI Software Engineer role. Highlight any relevant projects or coursework, especially those involving Go or AI technologies, to show us you’re a great fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background aligns with our mission at X-on. Don’t forget to mention any specific experiences that relate to the responsibilities listed in the job description.
Show Off Your Technical Skills: We want to see your programming prowess! If you’ve worked with APIs, LLMs, or have experience in asynchronous programming, make sure to include that in your application. It’ll help us understand your technical capabilities right off the bat.
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 don’t miss out on any important updates from our team. Plus, it shows us you’re keen to join our community!
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 knowledge of algorithms, data structures, and design patterns, as these are fundamental to the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled technical challenges in the past. Think of specific examples where you’ve contributed to a project or solved a complex issue, especially in an agile environment.
✨Understand AI Concepts
Familiarise yourself with AI and LLM concepts like Context Windows, RAG, and System Prompts. Be ready to discuss how these can be applied in a healthcare context, as this will show your enthusiasm and understanding of the industry.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s projects, the company’s approach to AI, and how they measure success. This not only shows your interest but also helps you gauge if the company is the right fit for you.
