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 reviews, while cutting operational costs by 80%.

As an AI Research Engineer, you’ll play a pivotal role in building and iterating on LLM-based and agentic features of our AI-powered compliance 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 an AI Research Engineer, you will:

• Build and maintain LLM-based and agentic product features, including rigorous evaluation, benchmarking and backtesting.
• Create systems that can improve over time based on feedback from humans in the loop, such as prompt optimisation and fine-tuning.s
• Explore applications of the latest developments of AI to enhance our product features, explainability, speed and accuracy.
  
  

• AI features: Use the latest in LLMs, agents and computer vision to build systems that are faster, more thorough and more accurate than humans.
• Evals: Build benchmarks, evaluate backtests and analyse results to quantify our performance and prevent regressions.
• MLOps: Ensure that we maintain good practices around collecting and managing datasets, backtests and benchmarks to 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.
  
  

• Own With Urgency
  
  

• Transparency
  
  

• Customer First, Team Second, Self Last
  
  

• Experience: 3+ years in an AI research or engineering role, with experience building and testing agentic systems.
• Technical Expertise: Hands-on experience with prompt engineering, fine-tuning pre-trained models, and training custom models, including vision models. Experience using TypeScript a plus.
• 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.
  
  

• 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.