At a Glance
- Tasks: Build and iterate on full-stack product features using cutting-edge AI technologies.
- Company: Join Arva AI, a pioneering startup transforming financial crime intelligence.
- Benefits: Enjoy competitive salary, equity options, and flexible remote work opportunities.
- Other info: Be part of a growth-oriented culture that values speed, ownership, and collaboration.
- Why this job: Make a real impact in AI while working with a passionate, innovative team.
- Qualifications: 1+ years in full-stack engineering with AI/ML experience and strong communication skills.
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%. Arva AI is trusted by fast-growing fintechs like Keep to reduce friction, improve compliance outcomes, and unlock scale.
Senior Full-Stack Product Engineer employer: Arva AI Inc.
Arva AI is an exceptional employer, offering a dynamic work culture that prioritises speed, ownership, and customer value. As a Senior Full-Stack Product Engineer, you'll have the opportunity to work with cutting-edge AI technologies in a supportive environment that fosters collaboration and transparency. With competitive salaries, equity packages, and the flexibility to work from anywhere for part of the year, Arva AI is committed to your professional growth and making a meaningful impact in the financial crime intelligence space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full-Stack Product Engineer
✨Tip Number 1
Get to know the company inside out! Research Arva AI's mission, values, and recent projects. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Practice makes perfect! Prepare for the take-home task by brushing up on your full-stack skills, especially in TypeScript, React, and NodeJS. Don’t forget to showcase your AI/ML experience – it’s a big deal for this role!
✨Tip Number 3
Be ready to discuss your past projects! Think about how you've tackled challenges in previous roles, especially those involving AI and product engineering. Use specific examples to demonstrate your problem-solving skills and ownership mindset.
✨Tip Number 4
Don’t hesitate to ask questions during your interviews! Show your curiosity about the team dynamics and how they collaborate on projects. This not only helps you gauge if it's the right fit but also highlights your interest in teamwork.
We think you need these skills to ace Senior Full-Stack Product Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it can solve real-world problems. Share any projects or experiences that highlight your skills in AI/ML and computer vision.
Tailor Your Application:Make sure to customise your application to reflect the specific requirements of the Senior Full-Stack Product Engineer role. Highlight your experience with TypeScript, React, and NodeJS, and how you've used these technologies in past projects.
Be Clear and Concise:We appreciate clarity! Use straightforward language to explain your experiences and skills. Avoid jargon unless it's necessary, and make sure your application is easy to read and understand.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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 product engineering. 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.
