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For Companies At a Glance
- Tasks: Develop and maintain AI features, ensuring performance and reliability.
- Company: Join a fast-growing tech startup at the forefront of AI innovation.
- Benefits: Enjoy a hybrid work model with competitive salary and growth opportunities.
- Why this job: Make a real-world impact while working in a dynamic, collaborative environment.
- Qualifications: Experience in AI/LLM features, Python proficiency, and strong analytical skills required.
- Other info: Office presence needed once a week; no sponsorship available.
The predicted salary is between 48000 - 84000 £ per year.
FryerMiles are delighted to be partnered with a fast-growing tech startup on the cutting edge of AI product development. They are looking for an experienced engineer to take ownership of their AI workflows and data infrastructure — building production-grade features powered by the latest LLMs and delivering actionable insights from user data. This is a hybrid role that requires office presence in central London one time per week, and unfortunately can’t offer sponsorship.
Job Responsibilities:
- Build and maintain scalable AI features using LLM APIs, ensuring reliability, performance, and cost-efficiency.
- Design evaluation and benchmarking systems for AI outputs, including real-user feedback loops.
- Lead development of analytics pipelines and business intelligence tools.
- Collaborate across the team to rapidly ship and iterate on features with real-world impact.
Key Experience:
- Solid experience shipping AI/LLM-powered features in production.
- Strong background in AI evaluation, monitoring, and iteration.
- Proficiency in Python and building reliable data pipelines.
- Experience with product analytics and BI in a SaaS environment.
- Comfortable working autonomously in a fast-paced, product-focused team.
Interviews are set to take place ASAP, so if this position is one that you’re interested in, then please don’t hesitate to apply directly.
Software Engineer (AI) - London, England employer: FryerMiles
Contact Detail:
FryerMiles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (AI) - London, England
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and LLMs. Being able to discuss recent developments or trends during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your previous projects that involved AI features. Be ready to explain your role, the challenges you faced, and how you overcame them, as this will highlight your hands-on experience.
✨Tip Number 3
Network with professionals in the AI space, especially those who work at FryerMiles or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations.
✨Tip Number 4
Brush up on your Python skills and be prepared for technical questions or coding challenges. Practising common algorithms and data structures can help you feel more confident during the technical interview.
We think you need these skills to ace Software Engineer (AI) - London, England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and LLMs. Include specific projects where you've built scalable features or worked with data pipelines, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for AI product development and how your skills align with the responsibilities outlined in the job description. Mention any relevant experience in SaaS environments and your ability to work autonomously.
Showcase Relevant Projects: If you have a portfolio or GitHub repository, include links to projects that demonstrate your proficiency in Python and AI feature development. This will give the hiring team tangible evidence of your capabilities.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at FryerMiles
✨Showcase Your AI Experience
Make sure to highlight your previous experience with AI and LLM-powered features. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them.
✨Demonstrate Technical Proficiency
Since the role requires strong Python skills and experience in building data pipelines, be ready to answer technical questions or even solve coding problems during the interview. Brush up on relevant algorithms and data structures.
✨Prepare for Collaboration Questions
This position involves working closely with a team, so expect questions about your collaboration style. Think of examples where you successfully worked with others to deliver impactful features or solutions.
✨Understand the Company’s AI Vision
Research FryerMiles and their approach to AI product development. Being able to articulate how your skills align with their goals will show your genuine interest in the role and the company.
