Back to Careers
EngineeringOpen
AI Engineer — Web3 & Blockchain Data
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.
Remote (US)Full-time$145K – $200KSenior
About The Company
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
Benefits
- 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