At a Glance
- Tasks: Design, build, and scale AI systems for the beauty industry with real-world applications.
- Company: Renude, an award-winning tech company transforming customer support in beauty with AI.
- Benefits: Competitive pay, remote-friendly culture, flexible hours, and opportunities for personal growth.
- Other info: Work autonomously in a supportive environment focused on product excellence.
- Why this job: Join a dynamic team and influence cutting-edge AI technology in a fast-paced startup.
- Qualifications: 4+ years in AI engineering, strong Python skills, and experience with LLM-powered products.
The predicted salary is between 60000 - 80000 € per year.
About Renude
Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including skin analysis, product recommendation and LLM-based chat. We've been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise.
What You'll Do
- Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases.
- Develop scalable backend services and APIs powering AI agents and conversational systems.
- Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search.
- Collaborate closely with product, design, and engineering teams to shape AI-first experiences.
- Integrate LLM systems into user-facing web applications and product features.
- Improve response quality, reliability, latency, observability and cost efficiency of production AI systems.
- Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem.
- Influence architecture decisions for scalable, secure, and production-ready AI infrastructure.
What We're Looking For
Must-Haves:
- Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience.
- 4+ years experience building and deploying production AI applications.
- 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows.
- Strong Python skills and experience building backend systems and APIs.
- Hands-on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks.
- Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines.
- Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning.
- Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms.
- Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment.
Nice-to-Haves:
- Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field.
- Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows.
- Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks.
- Familiarity with graph databases such as Neo4j or Amazon Neptune.
- Experience with recommendation systems, personalisation pipelines or ranking systems.
- Experience building modern web applications using Django, FastAPI, React, or similar frameworks.
- Comfortable using Docker and containerised development workflows.
- Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices.
What We Offer
- Competitive compensation (based on experience).
- Remote-friendly culture with flexible working hours.
- Opportunity to work with cutting edge technologies.
- High ownership and real technical influence.
- A supportive team that values product excellence and personal growth.
Mid-Senior AI Engineer in London employer: LinkedIn
At Renude, we pride ourselves on being an exceptional employer that fosters a remote-friendly culture with flexible working hours, allowing our Mid-Senior AI Engineers to thrive while working with cutting-edge technologies. We offer competitive compensation and a supportive team environment that values both product excellence and personal growth, ensuring that every employee has the opportunity to make a real impact in the beauty industry through innovative AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Mid-Senior AI 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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to LLMs and conversational agents. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Renude.
We think you need these skills to ace Mid-Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Mid-Senior AI Engineer. Highlight your experience with AI applications, especially in building and deploying production systems. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific projects that demonstrate your expertise in LLM-powered products and agentic workflows. We love seeing real-world examples of your work, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re excited about working with us at Renude and how your background makes you a perfect fit for our team. Let your passion for AI and the beauty industry come through!
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and AI frameworks like LangChain or LlamaIndex. Brush up on your experience with retrieval systems and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in building and deploying AI applications. Think about times when you optimised production systems or improved response quality, and be ready to explain your thought process and the impact of your solutions.
✨Collaborate Like a Pro
Since collaboration is key, think of instances where you’ve worked closely with product, design, or engineering teams. Be prepared to discuss how you contributed to shaping AI-first experiences and how you handle feedback and differing opinions.
✨Ask Insightful Questions
Prepare thoughtful questions about Renude’s AI initiatives and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Ask about their approach to integrating LLM systems or their vision for AI in the beauty industry.
