Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and enhance full-stack product features using cutting-edge AI technologies.
- Company: Join Arva AI, a pioneering startup transforming financial crime intelligence.
- Benefits: Competitive salary, equity package, remote work options, and bi-annual reviews.
- Why this job: Shape the future of compliance with innovative AI solutions and make a real impact.
- Qualifications: 1+ years in full-stack engineering, proficient in TypeScript, React, and NodeJS.
- Other info: Collaborative culture focused on transparency, growth, and customer-first values.
The predicted salary is between 36000 - 60000 £ per year.
Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial service providers onboard businesses more quickly while cutting operational costs by 80%.
About the Role
- Build and iterate on full-stack product features across front-end, back-end, AI, devops and MLops.
- Create systems that can improve over time based on feedback from humans in the loop, such as prompt optimisation and fine-tuning.
- Explore applications of the latest developments of AI to enhance our product features, explainability, speed and accuracy.
What You’ll Do
- Front-end: Build interfaces that clearly explain the decisions made by our system without overloading the user.
- Back-end: Build systems that can scale to large volumes of requests without sacrificing reliability.
- AI: Use the latest in LLMs, agents and computer vision to build systems that are faster, more thorough and more accurate than humans.
- Devops: Ensure that we maintain fast deployments and good CI/CD practices to maximise development velocity.
- Prompt Engineering: Develop and test prompts to optimise model performance and deliver high-quality outputs.
- Model Fine-Tuning: Adapt and fine-tune large language models and vision models for specific use cases.
- Custom Model Training: Train and deploy bespoke AI models tailored to solve unique compliance challenges.
- Collaboration: Work closely with the engineering and product teams to translate customer needs into actionable AI solutions.
- Iterate: Continuously iterate on our AI systems to improve performance, reduce errors, and deliver value to customers.
Our Culture
- Deliver Value Fast – Speed + ownership is our superpower. We value action over perfection. We’re not afraid to get our hands dirty, experiment, and iterate quickly to achieve our goals, and completely own the outcome.
- Customer First, Team Second, Self Last – Our priority is creating value for our customers. We then focus on building a supportive, growth-oriented team environment, putting individual needs last to ensure collective success.
- Transparency – We believe in open communication and full visibility across teams and roles. Decisions, successes, and failures are shared openly to foster trust and collaboration.
What We’re Looking For
- Experience: 1+ years in a full stack / product engineering role, as well as experience using AI/ML and computer vision.
- Technical Expertise: Proficient in TypeScript, React and NodeJS, and with good product intuition.
- AI Skills: Hands-on experience with prompt engineering, fine-tuning pre-trained models, and training custom models, including vision models.
- Product Mindset: Strong understanding of how AI can solve real-world problems, with a focus on customer needs.
- Interests: Ability to stay updated with the latest advancements in AI and apply them effectively.
- Collaboration: Excellent communication skills to work across teams and explain complex AI concepts to non-technical stakeholders.
- Ownership: A proactive, problem-solving mindset with the ability to take full responsibility for projects and outcomes.
- Growth-Oriented: Excited to learn new skills, tackle challenges, and adapt as the company scales.
Why Join Us?
- Be part of an early-stage startup with significant ownership and influence over the AI strategy.
- Work on cutting-edge AI technologies that transform how businesses operate.
- Collaborate with a passionate, mission-driven team dedicated to innovation.
- Work from anywhere in the world for 4 weeks a year, in addition to regular team off-sites.
- Competitive salary and equity package, with bi-annual salary review and yearly performance based equity refresh.
Ready to Build the Future of AI Powered Anti-Financial Crime? If you’re excited to shape the future of compliance with state-of-the-art AI solutions, we’d love to hear from you. Apply now to become an Arvanaut as our Full-Stack Product Engineer.
About the interview
- Intro/screening call to sell you on the vision
- Take-home task to show off your skills
- Debrief call to dive into your submission
- In-person hangout to meet the team
About Arva AI
Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial institutions handle AML, KYB and KYC reviews, cutting costs by 80%.
Senior Full-Stack Product Engineer in London employer: Arva AI Inc.
Contact Detail:
Arva AI Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full-Stack Product Engineer in London
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, especially those at Arva AI. A friendly chat can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for that take-home task like it’s your final exam! Show off your skills and creativity, and don’t be afraid to let your personality shine through your work.
✨Tip Number 3
During the debrief call, be ready to discuss your submission in detail. Highlight how your approach aligns with Arva AI's mission and values, and don’t shy away from asking questions!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Full-Stack Product Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in full-stack engineering and AI. We want to see how your skills align with our mission at Arva AI, so don’t hold back on showcasing relevant projects!
Show Off Your Technical Skills: When detailing your experience, focus on your proficiency in TypeScript, React, and NodeJS. We love seeing hands-on examples of your work, especially if you’ve tackled prompt engineering or model fine-tuning. Let us know what you’ve built!
Emphasise Collaboration: We value teamwork, so share instances where you’ve worked closely with others to solve problems or deliver projects. Highlight your communication skills and how you’ve explained complex AI concepts to non-technical folks – it’s a big plus for us!
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 at Arva AI!
How to prepare for a job interview at Arva AI Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript, React, and NodeJS. Brush up on your full-stack knowledge and be ready to discuss how you've used these technologies in past projects. Highlight any experience with AI/ML and computer vision, as this will be crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you faced and how you approached them, especially in relation to AI and model fine-tuning. This will demonstrate your proactive mindset and ownership of projects.
✨Understand the Customer's Needs
Familiarise yourself with how AI can solve real-world problems, particularly in financial crime intelligence. Be ready to discuss how you would translate customer needs into actionable AI solutions, showing that you prioritise delivering value fast.
✨Be Ready to Collaborate
Since collaboration is key at Arva AI, prepare to discuss how you’ve worked with cross-functional teams in the past. Think about how you can explain complex AI concepts to non-technical stakeholders, as this will be important for fostering transparency and trust within the team.
