Graduate Software Engineer in Suffolk

Graduate Software Engineer in Suffolk

Suffolk Full-Time 25000 - 35000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join a dynamic team to develop innovative software solutions for NHS call experiences.
  • Company: X-on, a forward-thinking tech company in Melton, Woodbridge.
  • Benefits: Enjoy 25 days holiday, birthday off, and a learning budget.
  • Other info: Hybrid work model with a focus on professional development and inclusivity.
  • Why this job: Make a real impact in healthcare tech while growing your skills.
  • Qualifications: Experience in programming, especially with Go or willingness to learn.

The predicted salary is between 25000 - 35000 £ per year.

Location: Melton, Woodbridge (Hybrid)

Salary: £25,000 to £35,000

We are looking for an Associate 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.

Graduate Software Engineer in Suffolk employer: X-On

X-on is an exceptional employer located in the picturesque Melton, Woodbridge, offering a dynamic hybrid work environment that fosters innovation and collaboration. With a strong commitment to employee growth, we provide extensive learning and development opportunities, including a dedicated budget for professional qualifications and engaging social events. Our inclusive work culture prioritises well-being, offering generous benefits such as 25 days of holiday, a birthday day off, and a cycle to work scheme, making X-on a rewarding place to build your career in software engineering.

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Contact Details:

X-On Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate Software Engineer 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 Graduate Software Engineer role.

Tip Number 2

Get your hands dirty with projects! Build a portfolio showcasing your skills in Go or any backend language. Having real-world examples of your work can really set you apart when you're chatting with potential employers.

Tip Number 3

Prepare for those technical interviews! Brush up on algorithms, data structures, and system design. Practising coding challenges on platforms like LeetCode can help you feel more confident when it’s time to shine.

Tip Number 4

Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us at StudySmarter. Plus, it shows you’re genuinely interested in being part of our team!

We think you need these skills to ace Graduate Software Engineer in Suffolk

Go (Golang)
C++
Java
Rust
Python
RESTful APIs
JSON data structures

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 don’t forget to mention your experience with APIs and AI technologies!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this role at X-on. Share specific examples of how your past experiences align with our needs, especially around building infrastructure and solving technical challenges.

Showcase Your Projects:If you've worked on any relevant projects, whether personal or academic, make sure to include them! We love seeing practical applications of your skills, especially if they involve voice agents or data insights.

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!

How to prepare for a job interview at X-On

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 with other languages like C++, Java, or Python can translate into working with Go.

Understand the Role

Dive deep into the responsibilities listed in the job description. Be prepared to talk about how you would approach building Voice Agents or developing APIs. Think of examples from your past experiences that showcase your problem-solving skills and ability to work within an agile team.

Showcase Your Learning Mindset

The role requires keeping up with the rapidly changing AI landscape. Be ready to discuss any recent trends or technologies you've explored, and how you might apply them to the company’s products. This shows your enthusiasm for continuous learning and development.

Prepare for Technical Questions

Expect questions on algorithms, data structures, and design patterns. Brush up on these concepts and be ready to solve problems on the spot. Practising coding challenges can help you feel more confident and prepared for this part of the interview.