At a Glance
- Tasks: Join our team to build innovative AI solutions for NHS call experiences.
- Company: Dynamic tech company focused on AI and healthcare solutions.
- Benefits: Enjoy 25 days holiday, professional development 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 software development, especially with Go or similar languages.
The predicted salary is between 30000 - 35000 £ per year.
Location: Melton, Woodbridge (Hybrid)
Salary: Up to £35,000 depending on experience
Hybrid - Office based Monday, Wednesday and Friday
We are looking for a Software Engineer to join our expanding team. You will help build the infrastructure that powers our next generation of call experiences and data insight tools for our NHS customers. You will have several years’ experience in industry. You will be working on greenfield projects involving real-time voice agents, managing the orchestration between Telephony, Speech-to-Text, LLMs, and Text-to-Speech services to help our product team to realise their vision. You will also help develop pipelines to analyse call recording data at scale, extracting vital insights on performance and customer satisfaction. This is a multi-discipline role well suited to an individual with the ability to think on their feet and who learns quickly.
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.
Our core tech stack:
- GitLab
- MySQL
- RabbitMQ
- Redis
- PHP + Laravel
- React
- Electron
- Puppet (build and deploy)
- OpenSIPS
- FreeSWITCH
Essential experience:
- Programming Proficiency: Strong 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.
- Several years experience in industry.
- A team player who shows initiative.
Desirable experience:
- Experience with LLM guardrails and PII-redaction.
- Understanding of LLM tool development and MCP.
- Knowledge of Speech-to-Text (STT) or Text-to-Speech (TTS) technologies.
- Experience with WebSockets and streaming data.
- Familiarity with Telephony/VoIP.
Other 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 and is able to deliver small stories.
- Adheres to test coverage standards.
- Regularly applies learnings from past experience.
- Collaborating with team members and is flexible and open to change.
- Write unit tests and integration tests to ensure code quality.
- Participate in code reviews and ensure adherence to coding standards.
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 employer: X-on Health
Join our innovative team as an AI Software Engineer in Melton, Woodbridge, where you'll contribute to cutting-edge projects that enhance NHS call experiences. We offer a supportive hybrid work environment, competitive salary, and a strong focus on employee growth through learning and development opportunities, alongside a vibrant work culture that values collaboration and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and voice technology. This gives us a tangible way to see what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We want to see how you think and solve problems, so get comfortable explaining your thought process as you tackle these challenges.
✨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 StudySmarter.
We think you need these skills to ace AI Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your programming proficiency, especially in Go or any relevant languages, and showcase your experience with AI and API integration.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the AI Software Engineer role. Share specific examples of past projects that align with our needs, like developing voice agents or working with LLMs.
Showcase Your Problem-Solving Skills:In your application, mention instances where you've tackled complex technical challenges. We love candidates who can think on their feet and adapt quickly, so don't hold back on sharing those experiences!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at X-on Health
✨Know Your Tech Stack
Familiarise yourself with the core technologies mentioned in the job description, especially Go (Golang). Brush up on your knowledge of RESTful APIs and JSON data structures, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past experiences where you tackled complex technical challenges. Be ready to explain your thought process and how you approached problem-solving, particularly in agile environments.
✨Understand AI and Voice Technologies
Since the role involves working with AI and voice agents, make sure you have a solid grasp of concepts like LLMs, Speech-to-Text, and Text-to-Speech technologies. Being able to discuss these topics confidently will impress your interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future direction, especially regarding their AI initiatives. This shows your genuine interest in the role and helps you assess if it's the right fit for you.