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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

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