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Posted on 24 September 2026
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AI Research Engineer
As an AI Researcher, you’ll play a pivotal role in developing and improving our in-house models—training, fine-tuning, and evaluating LLMs and agentic systems that power our AI compliance platform, from document fraud detection to web-scale due diligence.
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Location
London, UK
Location Type
On site
Department
Research
work time
Full-time
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Location:
In person, Central London, 4-5 days in office
Type:
Full-Time
NB:
We are able to sponsor visas
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 our in-house models—training, fine-tuning, and rigorously evaluating LLMs and agentic systems that power our AI compliance platform, from document fraud detection to web-scale due diligence. You’ll also develop the automation and infrastructure that continuously tests and improves performance (evals, data/label pipelines, training loops, and iterative fine-tuning/distillation).
About the Role
As an AI Researcher, you will:
Build and iterate on in-house LLM and agentic capabilities
, integrating them into product features with rigorous evaluation, benchmarking, and backtesting across real compliance workflows.
Design continuous-improvement loops for our models
, leveraging human-in-the-loop feedback to drive dataset curation, fine-tuning/distillation, and optimisation of model behaviour.
Stay on the frontier and translate research into impact
, exploring and applying new AI methods to improve model quality, explainability, latency, and reliability in production.
What You’ll Do
Evals:
Build benchmarks, evaluate backtests and analyse results to quantify our performance and prevent regressions.
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.
AI features:
Use the latest in LLMs, agents and computer vision to build systems that are faster, more thorough and more accurate than humans.
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.
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
Deliver Value Fast
Speed starts with clarity. We first understand what value actually means, for the customer, the business, or the system, and then take the shortest credible path to delivering it. We move quickly without cutting corners on quality, security, or trust.
Outcome Obsessed
We obsess over details and take full ownership of wider outcomes, not just tasks. We think like the user, execute with rigor, and validate that every detail works in real conditions. If something falls short, we fix it properly and prevent recurrence, always raising the bar.
Relentless Urgency
We move with urgency because time matters. We prioritise what truly moves the outcome, make decisions with imperfect information, and act decisively. Urgency means focus, momentum, and driving meaningful progress without unnecessary delay.
What We’re Looking For
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.
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 Join the Fight Against 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 an AI Researcher.
AI research powering Agents for critical banking operations with industry-leading accuracy. From financial crime compliance to lending.
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AI research powering Agents for critical banking operations with industry-leading accuracy. From financial crime compliance to lending.
Product
AgentStudio
AgentCore
Screening Al
Onboarding AI
Transaction Monitoring Al
EDD AI
Lending AI
Research
Use Cases
Banks
Credit Unions
Fintechs
Crypto & Trading
Company
Trust
About
Blog
Case Studies
Careers
Press
Contact
Book a demo
© 2026 Arva AI Inc.
Legal
Privacy Policy
Cookie Settings
AI research powering Agents for critical banking operations with industry-leading accuracy. From financial crime compliance to lending.
Product
AgentStudio
AgentCore
Screening Al
Onboarding AI
Transaction Monitoring Al
EDD AI
Lending AI
Research
Use Cases
Banks
Credit Unions
Fintechs
Crypto & Trading
Company
Trust
About
Blog
Case Studies
Careers
Press
Contact
Book a demo
© 2026 Arva AI Inc.
Legal
Privacy Policy
Cookie Settings
About Arva AI
Arva AI automates financial-crime checks for banks — KYB, sanctions and the onboarding decisions that currently sit in a human review queue. London, $3m raised, and small enough that the engineering roles are forward-deployed and founding ones.