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About the Role
This posting connects you directly with one or more companies in Dragonfly's portfolio that are actively hiring AI/ML Engineers. Dragonfly is a crypto-native Venture Capital and research firm with $3.6B+ in assets under management and 160+ portfolio companies.
Responsibilities
- 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
Requirements
- 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
Skills
- AI
- ML
- Full stack development
- Model integration
- Product-facing features
- Autonomous AI agents
- Agentic workflows
- Agent-to-agent systems
- Agentic payments
- Machine-to-machine transactions
- AI-native economic primitives
- AI systems deployment
- LLM-powered applications
- ML pipelines
- Foundation models
- Fine-tuning
- RAG pipelines
- Agents
- Inference optimization
- Crypto
Experience Level
- Early Career
- Mid
- Senior
- Staff/Leadership
Salary/Compensations
- Early Career: $110,000–$150,000
- Mid: $150,000–$200,000
- Senior: $180,000–$250,000
- Staff/Leadership: $230,000–$330,000
About the Company
- Dragonfly is a crypto-native Venture Capital and research firm with $3.6B+ in assets under management and 160+ portfolio companies.
- Our Talent team connects people with roles across our portfolio, opening the door to opportunities through our Talent Network.