AI Research Engineer at well-funded AI compliance startup

You will lead the development and optimization of in-house models that drive a next-generation compliance platform. This involves training, fine-tuning, and evaluating LLMs and agentic systems to tackle complex challenges, ranging from sophisticated document fraud detection to web-scale due diligence, ensuring the platform remains at the cutting edge of AI-driven risk management.

Well-funded AI compliance startup

• Design and implement training and fine-tuning pipelines for LLMs tailored to specific compliance and fraud detection tasks.
• Architect and refine agentic systems capable of performing autonomous, web-scale due diligence and data synthesis.
• Establish rigorous evaluation frameworks to benchmark model performance against industry standards for accuracy and reliability.

• Proven experience in training and deploying large language models or complex machine learning systems in a production environment.
• Deep understanding of NLP techniques, transformer architectures, and the latest advancements in autonomous AI agents.
• Strong software engineering fundamentals with the ability to write clean, scalable code for data processing and model orchestration.

• Work at the intersection of generative AI and high-stakes regulatory technology, building systems that solve real-world integrity problems.
• Join a well-funded venture backed by top-tier VCs during a high-growth phase where your technical contributions directly shape the core product.
• Collaborate with a world-class engineering team in a fast-paced environment that prioritizes rapid experimentation and deployment of state-of-the-art models.