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Job Position | Company | Posted | Location | Salary | Tags |
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Zinnia | Remote |
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Zinnia | Remote | $49k - $75k | |||
Zinnia | Remote | $50k - $60k | |||
Zinnia | Remote |
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Wormholefoundation | Remote | $39k - $45k | |||
Waku | Remote | $80k - $112k | |||
Uniswaplabs | Remote | $81k - $100k | |||
Uniswaplabs | Remote | $162k - $180k | |||
Uniswapfoundation | Remote | $90k - $106k | |||
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Rampnetwork | Remote | $90k - $105k | |||
Pulley | Remote | $130k - $220k | |||
Public | New York, NY, United States | $54k - $81k | |||
Public | New York, NY, United States | $120k - $150k |
AI Engineer - Multi-LLM Recommendation Engine
Job Opportunity Overview
We're seeking a seasoned AI Engineer to build the brain behind Nuvolari's personalized insights engine. You'll architect and deploy a multi-LLM engine that learns from user behavior to surface relevant opportunities and automate "non-meaningful" on-chain tasks. This role is perfect for someone who wants to push the boundaries of AI in DeFi while working with cutting-edge agent frameworks.
About Nuvolari
Nuvolari.ai is your personal wealth assistant that reclaims time by providing one-click execution and automation for on-chain tasks. We're building the natural extension to automate portfolio rebalancing, delta neutral strategies, and yield farming, all tailored to individual risk profiles.
Our counter-thesis: trust is built through familiar UIs enhanced by AI, not replaced by prompt-based interfaces. We combine the UIs users trust with AI-powered insights and deterministic execution.
Think Apple Spotlight for everything on-chain, with a unified balance across EVM, SVM, and perps accounts with personalized shortcuts that adapt to your trading behavior.
Must-Have Skills
- 5+ years of professional software development experience
- Production experience with LangChain, LangGraph, LangSmith or similar orchestration frameworks
- Full-stack development capabilities with modern web technologies
- Basic Solidity development experience - understanding smart contract interactions
- Experience with transformer models, fine-tuning, and RAG systems
- Strong Python and TypeScript proficiency
- Demonstrated ability to deploy ML models to production environments
Preferred Qualifications
- Active DeFi user with deep understanding of yield farming, LP management, and risk strategies
- Familiarity with crypto wallet interactions and transaction batching
- Experience training foundational models or fine tuning open source models
Desirable
- Experience with intent-based execution systems and on-chain automation
- Knowledge of EVM and SVM ecosystems
Responsibilities
- Design and implement the multi-LLM recommendation engine that personalizes insights based on user on-chain behavior and risk profiles
- Benchmark and Build AI workflows that can improve reccomendations and suggest optimal advanced strategies
- Integrate ML models with real-time on-chain data to provide actionable insights and opportunity detection
- Collaborate with the full-stack team to seamlessly integrate AI features into the user interface
- Optimize model performance for real-time decision, reducing latency of execution.
- Work closely with founders to rapidly iterate based on user feedback and market opportunities
Benefits
- Competitive salary, performance-based equity incentives, and token allocation.
- Freedom to blast founders roadmaps and technical approaches
- Global team, work remotely whenever you want.
- Opportunity for travel during major conferences and hackathons and meet our network of frens and partners.
- Opportunity to work with seasoned web3 builders, with experience in SaaS, DeFi and Brokers.
How to Apply
Sound like a good fit? Drop us an email and include:
- A brief note about your experience
- Links to relevant work (GitHub, portfolios, live dApps, dashboards, etc.)
- Your availability over the next month