BlockRun
All Positions

Founding AI Native Agent Engineer — Trading

EngineeringRemote, Global

About BlockRun

BlockRun is the x402 micropayment gateway for AI agents. One gateway for LLM inference, real-time market data, and execution APIs — 41+ models across 7 providers, prediction markets, crypto + equity + FX feeds, USDC pay-per-call. No API keys. No subscriptions. Wallet = auth.

We process 1.1M+ API calls/month, serve developers in 50+ countries, and won the Circle USDC Agent Hackathon.

The Role

You will design and ship autonomous trading agents on top of the BlockRun stack — agents that read live markets, reason with frontier LLMs, and execute on-chain through a single x402 payment surface. You'll own the agent loop end-to-end: signal ingestion, model routing, risk controls, position management, settlement.

This is a founding role at the intersection of AI agents and quantitative trading. You bring real trading reps — sell-side desk, prop, market making, DeFi MEV, quant hedge fund, or systematic crypto fund — and pair that with strong agent engineering instincts. The product won't be built by someone who has only read about markets.

This is an early-stage startup. You'll ship code to production daily, talk to users directly, and have outsized impact on the agentic-trading category we're defining.

What You'll Do

  • Agent loop: Build the core perceive → reason → act → reconcile loop that powers BlockRun trading agents across crypto, prediction markets, and (eventually) equities/FX
  • Strategy primitives: Implement reusable agent strategies — momentum, market making, arbitrage across venues, prediction-market resolution arb, news-reactive directional trades — and the backtest harness behind them
  • Market data ingestion: Wire BlockRun's data endpoints (Polymarket, on-chain DEX, crypto candles, equities, FX) into a unified market state the agent can reason over
  • Execution + risk: Sizing, slippage controls, kill switches, exposure limits, PnL accounting. Production agents have to survive — paper-PnL doesn't ship
  • Model routing for trading: Pick the right LLM per decision — fast Haiku/Flash for tick-level reactions, deep Opus/o3 for thesis generation — and tune the routing as new models drop
  • On-chain execution: USDC settlement on Base + Solana, smart wallet flows, transaction simulation, MEV-aware order placement
  • Observability: Build the dashboards a trader would actually use — live positions, agent reasoning traces, decision quality metrics, drawdown alerts

Tech Stack

BackendNode.js / TypeScript (gateway + agent runtime), Python (research, backtests, signals)
BlockchainSolidity/EVM (Base), Solana (Rust/Anchor), x402 protocol, USDC, smart wallets
MarketsPolymarket, Uniswap/Aerodrome (Base DEX), Solana DEXes (Jupiter), Polygon prediction markets, equity + FX data feeds
AIFrontier LLMs (Claude, GPT, Gemini, Grok, DeepSeek) routed via BlockRun's own gateway

You Should Be

  • Real trading background — non-negotiable. Sell-side, prop, market making, quant, DeFi MEV, or systematic crypto. You've sized positions with real money on the line and you understand why slippage and fees eat naive strategies alive
  • AI native: You use AI coding tools daily (Claude Code, Cursor, Copilot). You ship faster because of them. You've built or seriously prototyped at least one agent before this role
  • Strong systems engineer: You can build the trading dashboard in the morning and debug a websocket reconnect storm in the afternoon. Latency budgets, idempotency, and reconciliation aren't new concepts
  • Crypto-native: You've held a wallet, signed a transaction, watched a position get rugged. You don't need to be a Solidity expert, but on-chain execution shouldn't intimidate you
  • Adversarial-minded: Markets are adversarial; agents are jailbreakable. You think about how the system fails, gets gamed, or loses money — before it does

Nice to Have

  • Built a profitable systematic strategy (any asset class)
  • Hands-on MEV, on-chain market making, or prediction-market trading experience
  • Prior agent / multi-agent system work in production
  • Open-source contribution history
  • Familiarity with x402 or other agent-payment protocols

Compensation

Competitive. Equity included. Revenue-positive. All AI tools covered. PnL upside on agent strategies you build is on the table.

Details

LocationRemote, global. No location restriction
TypeFull-time
Reports toFounder/CEO

Apply

Email hello@blockrun.ai with:

  1. A trading project, strategy, or agent you've built — link to repo, writeup, or PnL evidence
  2. The market(s) you know best and why
  3. Your GitHub handle

No formal resume required. Show us what you've shipped — and what it made or saved.