Full-Stack Product Engineer

Arva AI Inc.; London; Remote; GBP 50,000 - 90,000; Full time

Job summary

Join a dynamic startup that is transforming financial crime intelligence through cutting-edge AI solutions. As a Full-Stack Product Engineer, you'll play a crucial role in developing innovative features for our anti-financial crime platform. Your work will involve building scalable systems, enhancing product features with the latest AI advancements, and collaborating with a passionate team. This role offers significant ownership and the opportunity to influence our AI strategy while working in a supportive, growth-oriented environment. If you're excited about leveraging AI to solve real-world problems, we want to hear from you!

Benefits

Work from anywhere for 4 weeks a year

Regular team off-sites

Competitive salary and equity package

Bi-annual salary review

Yearly performance-based equity refresh

Qualifications

• 1+ years in full stack/product engineering role with AI/ML experience.
• Proficient in TypeScript, React, and NodeJS with good product intuition.

Responsibilities

• Build and maintain full-stack product features across front-end and back-end.
• Develop systems to automate testing and improve AI solutions.

Skills

TypeScript

React

NodeJS

AI/ML

Computer Vision

Prompt Engineering

Model Fine-Tuning

Collaboration

Education

Bachelor's Degree in Computer Science or related field

Job description

NB: We are not able to sponsor visas at this time.

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%.

As a Full-Stack Product Engineer, you’ll play a pivotal role in building and iterating on full-stack features of our AI-powered anti-financial crime platform such as document fraud detection and web due diligence. You will also develop systems to automate the testing and improvement of our solution such as evals, prompt optimisation, and fine-tuning models.

About the Role

As a Full-Stack Product Engineer, you will:

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 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

At Arva AI, we are driven by three core principles:

1. 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.

2. 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.

3. 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.

Automate 80% of your manual compliance
tasks for faster and more compliant
AML and KYB checks