At a Glance
- Tasks: Design, build, and scale AI systems for the beauty industry with real-world applications.
- Company: Join Renude, an award-winning tech company transforming customer support in beauty.
- Benefits: Competitive pay, remote-friendly culture, flexible hours, and growth opportunities.
- Other info: Dynamic startup environment with high ownership and technical influence.
- Why this job: Work with cutting-edge AI tech and make a real impact in the beauty sector.
- Qualifications: 4+ years in AI applications, 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
- We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment.
- You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production.
- 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 Nottingham employer: Renude
At Renude, we pride ourselves on being an exceptional employer, offering a remote-friendly culture that promotes flexibility and work-life balance. Our team thrives on collaboration and innovation, providing ample opportunities for personal and professional growth while working with cutting-edge AI technologies in the beauty industry. Join us to make a meaningful impact and enjoy competitive compensation alongside a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Mid-Senior AI Engineer in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those connected to Renude. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any LLM-powered applications or agentic workflows you've built. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest in AI frameworks. Be ready to discuss how you've tackled challenges in previous roles, especially around production optimisation.
✨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 at Renude. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Mid-Senior AI Engineer in Nottingham
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 Renude
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI applications, especially in the beauty industry. Be ready to discuss your experience with LLM-powered products and agentic workflows. Show them you understand how to design and optimise retrieval systems!
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to the job description. Highlight your experience with Python, backend systems, and any frameworks like LangChain or Pinecone. Real-world examples will make you stand out!
✨Collaboration is Key
Since you'll be working closely with product, design, and engineering teams, be ready to discuss how you've collaborated in the past. Share examples of how you’ve influenced architecture decisions or improved team processes.
✨Ask Smart Questions
Prepare insightful questions about Renude's AI systems and future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it’s a great way to demonstrate your knowledge!
