At a Glance
- Tasks: Join a dynamic team to develop AI solutions for NHS call experiences.
- Company: X-on, an innovative tech company focused on healthcare solutions.
- Benefits: Enjoy 25 days holiday, birthday off, and a learning budget.
- Other info: Inclusive workplace committed to equal opportunities and supporting all applicants.
- Why this job: Make a real impact in healthcare while working with cutting-edge AI technology.
- Qualifications: Experience in programming, especially in Go or willingness to learn.
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.
Software Ai Engineer Python, Remote in Suffolk employer: X-on Health
X-on is an exceptional employer located in Melton, Woodbridge, offering a dynamic work culture that fosters innovation and collaboration within a small agile team. With a strong commitment to employee growth, we provide extensive learning and development opportunities, including a dedicated budget for professional qualifications and a supportive environment for exploring the latest advancements in AI technology. Our attractive benefits package, which includes generous holiday allowances and social events, ensures that our employees enjoy a fulfilling work-life balance while contributing to meaningful projects that enhance healthcare experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Software Ai Engineer Python, Remote in Suffolk
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. You never know who might have a lead on that perfect job or can give you insider info about the company.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and software engineering. This is your chance to demonstrate what you can do 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. Remember, confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Software Ai Engineer Python, Remote in Suffolk
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 Python or any relevant backend languages, and don’t forget to mention your experience with AI and APIs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit for our team. Be sure to mention any specific projects or experiences that relate to the responsibilities listed.
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 think critically and creatively, especially when it comes to developing new functionalities or troubleshooting issues.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
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. Brush up on Go, Python, and any other relevant languages. Being able to discuss your experience with these languages and how they relate to the role will show that you’re a strong candidate.
✨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. Be prepared to discuss how you've interacted with LLM APIs in the past and how you can apply that knowledge to the role.
✨Prepare for Technical Challenges
Expect to face technical challenges during the interview. Practice solving problems related to algorithms, data structures, and design patterns. You might be asked to demonstrate your thought process, so think aloud as you work through problems.
✨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, especially when it comes to troubleshooting or developing new functionalities. This will show that you can contribute positively to the team dynamic.
