AI Research Engineer at VC-backed fintech AI startup

You will lead the development of internal LLM and agentic architectures designed to enhance operational workflows within financial services. This role involves fine-tuning models, building robust evaluation frameworks, and deploying custom AI features. You will work at the intersection of machine learning and product engineering to deliver high-impact automation systems.

VC-backed fintech AI startup

• Build and iterate on custom LLM capabilities and agentic systems, integrating them into production features.
• Design rigorous evaluation benchmarks and data pipelines to quantify model performance and prevent regressions.
• Develop fine-tuning and distillation loops leveraging human-in-the-loop feedback to optimize model behavior.

• 3+ years of experience in AI research or engineering roles, specifically building agentic or LLM-based systems.
• Hands-on expertise in prompt engineering, fine-tuning pre-trained models, and managing MLOps pipelines.
• Strong product mindset with the ability to translate complex research into scalable, customer-facing solutions.

• Significant ownership over the AI strategy at an early-stage startup backed by top-tier VCs.
• Opportunity to work on cutting-edge agentic systems and vision models in a high-stakes production environment.
• Competitive package including equity refreshers and flexible travel policies for 4 weeks a year.