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 with strong support for personal and professional growth.
- 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.
Locations
Software Ai Engineer Python, Remote in Suffolk, Woodbridge 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, 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 coding chops and problem-solving abilities 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, so get comfortable talking through your thought process!
✨Tip Number 4
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. Don’t miss out on this opportunity!
We think you need these skills to ace Software Ai Engineer Python, 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 Python or any relevant 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. Be sure to mention your understanding of the healthcare context and any relevant projects you've worked on.
Showcase Your Projects:If you’ve worked on any relevant projects, whether during your studies or in your spare time, make sure to include them. This could be anything from building voice agents to developing tools for AI integration. We love seeing practical applications of your skills!
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. Being able to speak confidently about these topics will demonstrate your enthusiasm and readiness for the position.
✨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 troubleshoot or diagnose issues, so being prepared will help you shine.
✨Show Your Collaborative Spirit
This role is all about teamwork within an agile environment. Be ready to discuss past experiences where you’ve worked collaboratively on projects. Highlight your ability to communicate effectively with stakeholders and contribute to architectural discussions.