At a Glance
- Tasks: Join us as a Junior AI Automation Engineer to innovate and streamline AI processes.
- Company: Monica Vinader is a leading sustainable luxury jewellery brand, committed to quality and accessibility.
- Benefits: Enjoy flexible working with remote options, a vibrant team culture, and opportunities for personal growth.
- Why this job: Be part of a pioneering team shaping the future of luxury retail with cutting-edge AI technology.
- Qualifications: Experience in analytics or technical roles, with skills in Python, TypeScript, and SQL.
- Other info: Regular travel to our London/Norfolk office may be required.
The predicted salary is between 30000 - 42000 ÂŁ per year.
Location: London (Office 2 days per week min.)
Reporting To: Director, Data & Technology
Who we are
At Monica Vinader, we’re on a mission to prove that buying better, wearing longer and doing better don’t have to be mutually exclusive. From our commitment to making the most sustainable jewellery we can using precious materials, to the timeless style and endless versatility of our pieces, we are driven to making everyday fine jewellery accessible and affordable. We are proud to be recognised in the industry through our recent awards, proving we are leading the way in sustainable jewellery.
We are digital first, omni-channel, customer obsessed, female led and inclusive, focused on creating meaningful relationships with our community, who we owe our success to. We are looking for someone special to join our team to help us make luxury something we can all enjoy every day.
Where we need your help
The AI Automation Engineer role is an exciting opportunity to help lead AI-driven process improvements as we double down on AI to shape the future of luxury jewellery retail. Technology has always powered Monica Vinader’s growth; we’ve laid strong foundations—voice-of-customer insights, automation flows, smarter merchandising—and are now ready to accelerate and expand our use cases. If you have the curiosity to experiment and the drive to see ideas through, come join us as our first AI focused team member and help write the next chapter by:
- Accelerate time‑to‑value – shrink weeks‑long discovery to days‑long sprints by standing up lightweight agents that drive measurable wins for teams across the business.
- Democratise AI – transform abstract concepts into self‑serve workflows so every team—from Merchandising to Customer Care—can launch and iterate their own AI use‑cases.
- Build safe guardrails – create evaluation harnesses and cost/quality dashboards so our AI products remain compliant, unbiased and on‑budget.
- Run the radar – monitor the AI ecosystem (models, agent frameworks, vector databases) and brief leadership on what to adopt, watch or ignore.
You’ll work shoulder‑to‑shoulder with the Director of Data & Technology and our COO on prioritising use‑cases that have outsized strategic impact. Expect frequent exposure to the rest of the senior leadership team through demos, workshops and roadmap reviews.
What you’ll do
- Prototype & iterate AI workflows – design, ship and refine automations for a range of internal and customer facing scenarios across teams.
- Craft clear, maintainable prompts and build small evaluation suites to track latency, cost and answer quality.
- Orchestrate agents in workflow automation tools (such as n8n) and experiment with frameworks like LangChain, LangGraph or CrewAI, integrating with BigQuery, internal APIs and vector stores (e.g. Pinecone, pgvector).
- Produce crisp documentation, risk logs and “how‑to” snippets so others can reproduce—and improve—your work.
- Host fortnightly show‑and‑tell sessions for executives and frontline teams; convert their feedback into your next sprint backlog.
- Keep a pulse on the market (open‑source releases, pricing shifts, best‑practice blogs) and surface concise “what this means for MV” briefings to leadership.
What you’ll bring
- Foundation, not perfection: Proven experience in an analytics, data‑ops or technical operations role (internships count).
- Technical toolkit: experience with Python or TypeScript skills; experience calling any GenAI model (OpenAI, Gemini, Claude, or OSS) and automating workflows in tools such as n8n, Zapier or Retool.
- Analytical mindset: SQL skills, basic statistics and an eye for commercial KPIs.
- Portfolio of curiosity: side‑projects, hack‑day demos or blog posts that showcase your self‑directed learning and passion for AI.
- Storytelling ability: you can explain embeddings to a merchandiser, token costs to Finance and roadmap trade‑offs to the COO—often on the same day.
- Growth attitude: you seek feedback, pair happily with seniors and juniors alike, and treat “unknowns” as invitations to learn.
To be successful at Monica Vinader...
- Are hands-on, solutions-focused, and entrepreneurial.
- Collaborate openly with humility, honesty, and humour.
- Embrace learning, teaching, and personal growth.
- Stay resilient, adaptable, and self-motivated in a creative environment.
- Speak up when you don’t know—and act fast to figure it out.
Additional Requirements
Ability to document your authorisation to work in the United Kingdom. Regular travel to our London / Norfolk office may be required.
Our Aims and Values
Our mission is to be the leading accessible luxury brand, by delivering outstanding quality, design and customer service. We are:
- Customer Obsessed: Our customers are at the core of everything we do. We will always deliver an outstanding and personal experience to them every time they interact with us, to ensure their ongoing support and loyalty.
- Caring: We treat people with respect, as we would want to be treated. We are apolitical and assume good intentions in others. We are open and honest with each other while ensuring we take an empathetic and supportive approach.
- Fast Paced: We are passionate about what we do, and we want to reach as many customers as fast as we can. We combine focus with pragmatism and flexibility so that we can move at pace in whichever direction we need to take.
- Exceptional: We have a relentless desire to continually learn and improve to ensure our products and approach are exceptional. Our tenacity, high standards and attention to detail give us a competitive advantage.
- Commercial: We focus hard on facts and approach things in a logical, rational and analytical way. We challenge each other to make sure we make decisions and take actions that create value for our business and our customers.
Monica Vinader as a global business makes the following inclusive culture pledge: Our jewellery is for everyone and so is our community. Together, we will continue to implement sustainable changes to ensure that career opportunities and progression are open to all. We commit to celebrating the diverse voices of our employees, partners, and the customers we serve.
This job description is not intended to be an exhaustive list of duties to be performed by the employee. This job description may be altered to reflect the business needs of the company.
Junior AI Automation Engineer employer: Monica Vinader
Contact Detail:
Monica Vinader Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Automation Engineer
✨Tip Number 1
Familiarise yourself with the latest AI tools and frameworks mentioned in the job description, like n8n and LangChain. Being able to discuss these technologies confidently during your interview will show your genuine interest and readiness for the role.
✨Tip Number 2
Prepare to demonstrate your analytical mindset by discussing specific projects where you've used SQL or Python. Highlighting your experience with data-driven decision-making will resonate well with the team at Monica Vinader.
✨Tip Number 3
Showcase your passion for AI through side projects or blog posts. This not only reflects your self-directed learning but also aligns with their value of curiosity and growth, making you a more attractive candidate.
✨Tip Number 4
Be ready to discuss how you can contribute to a collaborative and fast-paced environment. Share examples of how you've worked effectively in teams and adapted to changing situations, as this aligns with the company culture at Monica Vinader.
We think you need these skills to ace Junior AI Automation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, data-ops, or technical operations. Emphasise any projects or internships that showcase your skills in Python, TypeScript, and AI automation tools.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it aligns with Monica Vinader's mission. Mention specific examples of your curiosity and self-directed learning in the field, and how you can contribute to their goals.
Showcase Your Projects: Include a portfolio or links to side-projects, hack-day demos, or blog posts that demonstrate your hands-on experience with AI technologies. This will help illustrate your analytical mindset and storytelling ability.
Prepare for Interviews: If selected for an interview, be ready to discuss your technical toolkit and how you've applied it in real-world scenarios. Prepare to explain complex concepts in simple terms, as you may need to communicate with non-technical team members.
How to prepare for a job interview at Monica Vinader
✨Show Your Curiosity
Demonstrate your passion for AI and automation by discussing any side projects or personal initiatives you've undertaken. This shows that you're not just technically skilled but also genuinely interested in the field.
✨Understand the Company’s Values
Familiarise yourself with Monica Vinader's mission and values. Be prepared to discuss how your personal values align with theirs, especially around sustainability and customer obsession.
✨Prepare for Technical Questions
Brush up on your Python or TypeScript skills and be ready to discuss your experience with GenAI models and workflow automation tools. You might be asked to solve a problem or explain a concept during the interview.
✨Practice Storytelling
Since the role requires explaining complex concepts to various stakeholders, practice how you would communicate technical ideas in simple terms. Think of examples where you've successfully done this in the past.