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.
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.
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 but are an engineer passionate about AI and/or crypto, 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.
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads strategic feasibility analytics for global clinical trials, developing evidence-based country, site, enrollment, and protocol optimization strategies. Partners with cross-functional teams to assess recruitment assumptions, competitive intelligence, real-world data, site performance, and clinical trial technologies. Oversees feasibility outreach, site selection, scenario planning, portfolio intelligence, and KPI delivery while improving study startup and recruitment processes. Provides senior-level recommendations and influences stakeholders across Pfizer’s clinical development organization.
Top Skills:
Decentralized Clinical Trial (Dct) TechnologiesProtocol SimulationsReal-World Data AnalyticsSite Predictability Engine
Food • Retail • Agriculture • Manufacturing
Manages regional food service sales activities across Greece and Cyprus, develops distributor and customer relationships, converts leads, achieves revenue targets, promotes products, analyzes market trends, and supports new product launches. The role includes sales proposals, product demonstrations, distributor collaboration, competitor reporting, and cross-functional coordination with marketing, product development, and operations.
Top Skills:
Crm SoftwareMS Office
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s strategic technology initiatives across eight Digital Core Platforms, aligning enterprise architecture, AI programs, reuse, governance, and delivery. Oversees Senior Technical Architects, sets portfolio priorities, resolves cross-program trade-offs, advises executive stakeholders, and develops senior technical talent. Establishes responsible AI-enabled delivery practices and ensures reliability, security, documentation, operational excellence, and measurable outcomes across a complex global technology portfolio.
Top Skills:
Artificial IntelligenceAutomationCloud PlatformsCybersecurityData IntegrationEnterprise ArchitectureModern Engineering PracticesReliability Engineering
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
