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For Companies At a Glance
- Tasks: Build and maintain innovative full-stack features using cutting-edge AI technologies.
- Company: Join Arva AI, a pioneering startup in financial crime intelligence.
- Benefits: Competitive salary, equity package, remote work options, and regular team off-sites.
- Why this job: Shape the future of compliance with impactful AI solutions in a collaborative environment.
- Qualifications: 1+ years in full-stack engineering; skills in TypeScript, React, NodeJS, and AI/ML.
- Other info: Be part of a mission-driven team with excellent growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Full-Stack Product Engineer role at Arva AI.
Location: London (In person). Type: Full-Time.
Overview
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.
What You’ll Do
- Build and maintain 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 in AI to enhance our product features, explainability, speed and accuracy.
- 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 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 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.
Qualifications & Requirements
- Experience: 1+ years in a full-stack / product engineering role, with experience using AI/ML and computer vision.
- Technical Skills: Proficient in TypeScript, React and NodeJS; strong product intuition.
- AI Skills: Hands-on experience with prompt engineering, fine-tuning pre-trained models, and training custom models (including vision models).
- Product Mindset: Ability to understand customer needs and apply AI to solve real-world problems.
- Collaboration: Strong communication skills to work across teams and explain AI concepts to non-technical stakeholders.
- Ownership & Growth: Proactive, problem-solving mindset; eager to learn and adapt as the company scales.
Why Join Us?
- Be part of an early-stage startup with ownership and influence over AI strategy.
- Work on cutting-edge AI technologies that transform business operations.
- Collaborate with a mission-driven team focused on innovation.
- Work from anywhere in the world for 4 weeks a year, plus regular team off-sites.
- Competitive salary and equity package, with bi-annual salary review and yearly equity refresh.
How to Apply
If you’re excited to shape the future of compliance with state-of-the-art AI solutions, apply to become an Arvanaut as our Full-Stack Product Engineer.
Employment Details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and Information Technology
Full-Stack Product Engineer in London employer: Arva AI
Contact Detail:
Arva AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Product Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Arva AI employees on LinkedIn. A personal connection can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your full-stack projects, especially those involving AI/ML. This gives you a chance to demonstrate your technical prowess and product intuition directly to potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of TypeScript, React, and NodeJS. Be ready to discuss how you've applied these technologies in real-world scenarios, especially in relation to AI and product engineering.
✨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, it shows you're genuinely interested in joining the Arva AI team.
We think you need these skills to ace Full-Stack Product Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Full-Stack Product Engineer role. Highlight your proficiency in TypeScript, React, and NodeJS, as well as any AI/ML experience you've got. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working with us at Arva AI and how your background aligns with our goals. Show us your passion for AI and how you can help revolutionise financial crime intelligence.
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing real-world applications of your skills, especially in AI and full-stack development. It gives us a glimpse into your problem-solving abilities!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you're keen on joining our team at Arva AI!
How to prepare for a job interview at Arva AI
✨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. Being able to talk about specific examples will show your expertise and confidence.
✨Showcase Your AI Skills
Since the role involves AI/ML and computer vision, prepare to discuss your hands-on experience with prompt engineering and model fine-tuning. Bring examples of how you've applied these skills to solve real-world problems, as this will demonstrate your product mindset.
✨Communicate Clearly
You’ll need to explain complex AI concepts to non-technical stakeholders, so practice simplifying your explanations. Use analogies or relatable examples to make your points clear. This will highlight your strong communication skills and ability to collaborate across teams.
✨Emphasise Your Problem-Solving Mindset
Arva AI values proactive individuals who can adapt as the company scales. Be prepared to share instances where you’ve tackled challenges head-on and how you’ve iterated on solutions. This will showcase your ownership and growth mentality, which is crucial for success in a startup environment.
