The Role
AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.
Summary Generated by Built In
About Dragonfly
Dragonfly is a global investment firm focused on the future of money, markets, and intelligence. With origins in crypto and over $3.5 billion in assets under management, we invest in generational companies and protocols across the frontier of finance and technology. We're a team of seasoned VCs, technologists, and markets experts with deep roots in New York, Silicon Valley, and Asia. We've published some of the industry's most widely read research on stablecoins, market structure, decentralized finance, networks, protocol security, and increasingly, the intersection of finance and AI.
This is not a listing for an internal role at Dragonfly. This posting connects you directly with one or more companies in our portfolio that are actively hiring AI/ML Engineers.
What We’re Looking For:
- Comfort operating across the full stack, from model integration to product-facing features
- Building autonomous AI agents, agentic workflows, or agent-to-agent systems
- Familiarity with agentic payments, machine-to-machine transactions, or AI-native economic primitives
- Building and deploying AI systems, LLM-powered applications, or ML pipelines in production
- Working with foundation models, fine-tuning, RAG pipelines, agents, or inference optimization
About the role(s):
Depending on the team, you could be:
- Building and shipping AI-native products and features end-to-end
- Designing and optimizing LLM pipelines, RAG systems, and agentic workflows
- Integrating AI capabilities into crypto-native infrastructure, protocols, or consumer products
- Working on model evaluation, fine-tuning, and inference optimization at scale
- Collaborating with small, high-ownership teams shipping quickly in fast-moving environments
Even if you don't match every point above, we encourage you to apply. There may be other opportunities that fit your skill set.
Process:
- We’ll confidentially match you with portfolio companies aligned with your background, skill set, and interests
- If mutual interest exists between you and a team, we’ll facilitate a warm introduction
- If there isn’t a match today, we’ll keep you top of mind for future opportunities
Compensation
- Early Career: $110,000–$150,000
- Mid: $150,000–$200,000
- Senior: $180,000–$250,000
- Staff/Leadership: $230,000–$330,000
The compensation range reflects variation by seniority, location, and hiring company. Final compensation is confirmed with the specific hiring company.
Submit your information below, and we’ll reach out if there’s a potential fit.
Skills Required
- Comfort operating across the full stack, from model integration to product-facing features
- Experience building autonomous AI agents, agentic workflows, or agent-to-agent systems
- Familiarity with agentic payments, machine-to-machine transactions, or AI-native economic primitives
- Experience building and deploying AI systems, LLM-powered applications, or ML pipelines in production
- Experience working with foundation models, fine-tuning, RAG pipelines, agents, or inference optimization
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The Company
What We Do
A cross-border crypto venture fund. Global from day one.
