AI Engineer — Web3 & Blockchain Data

SBL Nova; United States; Hybrid; USD 145,000 - 200,000; Full time

Benefits offered by this job

Health coverage

401(k) with match

Generous PTO

Flexible working hours

Compute/ML budget

Equity participation

Job summary

SBL Nova is hiring an AI engineer to build risk, monitoring, and analytics systems that blend traditional collateral data with on-chain data.

You will develop anomaly detection, risk scoring, and document/transaction analysis while working in a regulated fintech setting. This is a 100% remote role within the United States, with a strong compensation package and equity participation.

Qualifications

• 4+ years of experience building and shipping production machine learning or AI systems.
• Strong Python skills and experience with modern ML frameworks and/or LLM tooling.
• Hands-on experience with blockchain data, decoding transactions and events.
• Solid understanding of blockchain fundamentals and data tradeoffs.
• Experience designing data pipelines for large, noisy real-time data.
• Ability to translate model output for risk/compliance stakeholders.
• Strong communication skills to explain ML concepts clearly.

Responsibilities

• Design and build models detecting anomalous collateral movement and wallet behavior across data sources.
• Build pipelines to decode, normalize on-chain data into usable features.
• Develop AI-assisted tooling for smart contract review and on-chain monitoring.
• Partner with product to deliver AI insights into advisor-facing workflows.
• Continuously evaluate model performance against real-world outcomes.

Skills

ML engineering

Python

LLM tooling

Blockchain data

Data pipelines

Communication

Risk & compliance

Tools

PyTorch

scikit-learn

The Graph

Dune/Nansen

Job description

Build AI-driven risk, monitoring, and analytics systems on top of both traditional collateral data and on-chain blockchain data as SBL Nova extends into tokenized assets.

SBL Nova monitors over $50B in collateral daily and is expanding into tokenized securities and on-chain settlement. We're looking for an AI engineer who can build intelligent systems - anomaly detection, risk scoring, automated document and transaction analysis - that work equally well on traditional market data and messy, high-volume on-chain data.

About The Role

Build AI-driven risk, monitoring, and analytics systems on top of both traditional collateral data and on-chain blockchain data as SBL Nova extends into tokenized assets.

Qualifications

• 4+ years of experience building and shipping production machine learning or AI systems
• Strong Python skills and experience with modern ML frameworks (PyTorch, scikit-learn) and/or LLM tooling (RAG pipelines, agent frameworks, embeddings)
• Hands-on experience working with blockchain data - decoding transactions, reading contract events/logs, using indexers (The Graph) or analytics platforms (Dune, Nansen)
• Solid understanding of blockchain fundamentals: wallets, token standards, smart contract events, and on-chain vs. off-chain data tradeoffs
• Experience designing data pipelines that ingest, clean, and model large, noisy, real-time datasets
• Comfortable partnering with engineering, risk, and compliance stakeholders to translate model output into decisions that hold up in a regulated environment
• Strong communication skills - able to explain model behavior and limitations clearly to non-ML audiences

Bonus Qualifications

• Experience building fraud, AML, or risk-scoring models, ideally involving on-chain wallets or transactions
• Familiarity with Solidity or the ability to read smart contract code well enough to extract relevant signals
• Experience with LLM-based document intelligence (contract/prospectus parsing, KYC/AML document review)
• Prior work in fintech, crypto compliance, or digital asset risk
• Experience deploying ML models in a SOC 2 / regulated production environment

Responsibilities

• Design and build models that detect anomalous collateral movement, wallet behavior, and transaction risk across both traditional and on-chain data sources
• Build pipelines that decode and normalize on-chain data (transactions, contract events, token transfers) into features usable by risk and product teams
• Develop AI-assisted tooling to support smart contract review, on-chain monitoring and proof-of-reserve style verification alongside our audit and engineering teams
• Partner with product to bring AI-driven insights (risk scores, alerts, summaries) directly into advisor- and institution-facing workflows
• Continuously evaluate model performance against real-world outcomes and iterate quickly
• Stay current on both AI/ML best practices and the fast-moving on-chain data ecosystem
• Document model behavior, assumptions, and limitations clearly enough to support internal and external audit review
• Competitive salary ($145K-$200K) plus equity participation in a growth-stage fintech company
• 100% remote within the US
• Comprehensive health coverage and 401(k) with match
• Generous PTO and flexible working hours - we trust you to manage your own time
• Dedicated budget for compute, tooling, and ML/AI conference attendance
• Rare chance to apply AI to a genuinely novel data problem: bridging traditional finance and on-chain data in a regulated setting
• Small, senior, low-ego engineering team shipping on a two-week Agile cadence
• Direct line to founders and leadership - your work shapes the roadmap, not just a backlog