Nevis Wealth
Applied AI Engineer
New York
Sponsorship not specifiedDetected 236 days ago
GitMachine LearningData AnalysisLLMsAgentic AICommunicationCollaboration
About the role
- We are looking for a talented and driven AI Engineer to join our core team at Nevis where you will play a pivotal role in shaping the next-generation AI-first wealthtech product.
- As part of a small, world-class team of engineers and product builders, including the former Head of AI at Revolut, you'll have a unique opportunity to make a profound impact on one of the world's largest industries.
Responsibilities
- Design and build LLM and ML-powered products and features across Nevis' platform.
- Collaborate with engineers and product builders to bring new AI capabilities from experiment to production.
- Establish best practices and design novel approaches for AI development, testing, observability, and reliability.
- Partner with product and design teams to prototype and iterate on new AI features and products.
- You'll work with cutting-edge LLM models and collaborate with leading vendors to enhance our product's reasoning capabilities and elevate the quality of our models' outputs to industry-leading standards - constantly raising the bar higher.
Requirements
- Hands on experience with LLMs
- Proven track record of solving real-world problems with AI / ML
- STEM degree from top university
Nice to have
- Prior experience in AI startups
- Strong publications or GitHub profile
- Work alongside a high-calibre founding team backed by some of the best investors in the world.
- A fast-paced, high-growth environment with the opportunity to shape how the business operates.
Skills
- Proactive problem solver with "get it done" attitude
- Excellent communication skills for effective team collaboration
- Thrive in a fast-paced, high-growth environment and take ownership end-to-end
Compensation
- Competitive salary and benefits package, including company equity.
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This listing is sourced directly from Nevis Wealth's careers page and normalized into a canonical job model.