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Job Position Company Posted Location Salary Tags

Open Systems Technologies

New York, NY, United States

$63k - $85k

TechWish

United States

$76k - $96k

Quantstamp, Inc.

United States

$36k - $125k

TechWish

United States

$77k - $101k

Open Systems Technologies

New York, NY, United States

$90k - $100k

AminoChain

New York, NY, United States

$90k - $104k

FSTONE Technologies

New York, NY, United States

$84k - $120k

Binance

Singapore, Singapore

Mina Foundation

New York, NY, United States

$27k - $63k

JFDI Consultants

Las Vegas, NV, United States

$85k - $95k

IOTA Foundation

Remote

$72k - $119k

CAIZ

New York, NY, United States

$81k - $100k

Binance

Abu Dhabi, United Arab Emirates

CAIZ

Remote

$72k - $112k

Trilitech

London, United Kingdom

$22k - $90k

Nuvolari.ai
$100k - $140k
Remote
Apply

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