Senior Full-Stack Product Engineer
About the role
Senior Full-Stack Product Engineer at Arva AI (London, UK). Role focuses on building and iterating full-stack features for an AI-powered anti-financial crime platform, including front-end, back-end, AI/ML components, and CI/CD. Opportunity to work with state-of-the-art AI, prompt engineering, model fine-tuning, and bespoke model training.
Responsibilities
- 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.
- 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
- Experience: 4+ 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.
Skills
Benefits
- 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.

About Arva AI
AI Agents to scale AML, KYB and KYC operations
Banks and fintechs have large teams of human analysts who conduct manual checks and reviews. We replace those human compliance analysts with AI agents that automate 80% of the manual work for faster and more compliant financial crime (AML) reviews. Our first three products are: Screening AI (discount 91% of screening alerts), KYB/C AI (speed up onboarding), Transaction Monitoring AI (handle AML transaction monitoring alerts) Our end goal is to have a whole suite of AI workers that can handle manual compliance work for banks and fintechs. A $24B opportunity in the US alone.
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