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- Tasks: Build and maintain cutting-edge LLM applications and optimise AI workflows.
- Company: Join Vyn, a leader in transforming deskless work with innovative AI solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact in AI while working on exciting projects with global clients.
- Qualifications: 2+ years of experience in LLM systems and strong Python skills required.
- Other info: Diverse and supportive workplace committed to empowering all employees.
The predicted salary is between 28800 - 48000 £ per year.
At Vyn, we are reimagining how work gets done in the deskless world. Our platform enriches expertly-curated short videos — captured before, during, and after work — with AI-powered automated workflows. We own the world's largest dataset of this kind, enabling field users and customers to make smarter, more efficient decisions about their assets and operations. Our purpose is to deliver transformative commercial and environmental outcomes, helping global clients across utilities, telecoms, retail and energy improve pricing accuracy, speed up delivery, ensure safety, and maintain compliance.
What you’ll do:
- Build and maintain production-ready LLM applications using modern orchestration frameworks, with a strong focus on prompt engineering, context design, and guardrail development.
- Develop and optimise inference pipelines to ensure accuracy, reliability, and consistency of outputs that meet enterprise-level standards.
- Implement and run systematic evaluation workflows using both automated tools (e.g., DeepEval, Langfuse) and human-in-the-loop review to validate model performance and safety.
- Support RAG or retrieval-based features where required, including working with vector databases and document-processing pipelines.
- Collaborate with product and engineering teams to define use cases, set KPIs, and deliver AI features aligned with business goals.
- Mentor technical/non-technical stakeholders on Gen AI capabilities, limitations, and responsible adoption.
What you’ll need:
- Bachelor's or Master's in Computer Science, AI, Data Science, or a related technical field.
- At least solid 2+ years of hands-on experience building and deploying LLM-based systems (e.g., fine-tuning, RAG, prompt engineering).
- Strong proficiency in Python and hands-on experience with LLM orchestration frameworks (e.g., LangChain, CrewAI, AgnosAI or similar).
- Experience with vector databases (e.g., Pinecone, Weaviate), retrieval optimisation (OpenSearch, FAISS, Chroma).
- Experience using LLM evaluation tools and methodologies (e.g., DeepEval, Langfuse or equivalent) to assess model quality, reliability, and performance.
- Strong understanding of responsible AI principles and practical experience in bias detection and model transparency.
- Ability to communicate technical AI concepts clearly to diverse audiences.
We are an equal opportunity employer committed to creating a workplace where everyone feels empowered to bring their full, authentic selves to work. We celebrate diversity in all forms and make employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, religion, national origin, ancestry, gender, gender identity or expression, sexual orientation, age, disability, genetic information, veteran status, or any other protected characteristic. If you need accommodations at any point in the hiring process, we are here to support you.
GenAi Engineer in London employer: Vyn
Contact Detail:
Vyn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAi Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 LLM applications and AI workflows. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to Gen AI. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace GenAi Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GenAi Engineer role. Highlight your experience with LLM applications, Python proficiency, and any relevant projects that showcase your skills in prompt engineering and context design.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with Vyn's mission. Don't forget to mention specific experiences that demonstrate your ability to deliver AI features aligned with business goals.
Showcase Your Technical Skills: In your application, be sure to highlight your hands-on experience with LLM orchestration frameworks and vector databases. Mention any tools you've used for model evaluation, as this will show us you understand the importance of accuracy and reliability in AI.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to submit all your materials in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Vyn
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and LLM orchestration frameworks. Brush up on your experience with vector databases and evaluation tools, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built or optimised LLM applications. Be ready to explain your thought process and how you approached challenges, particularly in prompt engineering and context design.
✨Understand the Business Impact
Vyn is focused on delivering transformative outcomes for clients. Think about how your work in AI can improve pricing accuracy or speed up delivery. Be prepared to discuss how you can align your technical skills with their business goals.
✨Communicate Clearly and Confidently
Since you'll be mentoring both technical and non-technical stakeholders, practice explaining complex AI concepts in simple terms. This will demonstrate your ability to bridge the gap between tech and business, which is crucial for this role.
