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
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