AI Engineer

Job not on LinkedIn

🔥 38 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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3Commas.io

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

₿ Crypto

☁️ SaaS

💳 Fintech

💰 $37M Series B - 3Commas on 2022-09

Crypto • SaaS • Fintech

3Commas. io is a crypto trading automation platform (SaaS) that enables users to create, backtest, and run automated trading bots across multiple centralized exchanges. Launched in 2017 and aimed at both novice and advanced traders, 3Commas provides configurable bot types (DCA, Grid, Signal, Futures, etc. ), a Smart Trade terminal, portfolio and exchange management via API connections, TradingView/Pine Script integration, and an AI-driven strategy product called QuantPilot. The company emphasizes security (no withdrawal access from user exchange accounts), full historical backtesting, and supports many major exchanges such as Binance, Bybit, OKX, Kraken, and Coinbase.

📋 Description

• Own the agent architecture end to end, including orchestration, tool loops, context management, sandboxes, model routing, and production quality, cost, and latency trade-offs • Own contracts between the engine and product, including frontend rendering of agent events • Build and own offline evaluations, backtest-based quality metrics, and regression detection for prompt or model changes • Apply statistical rigor to strategy evaluation, including overfitting detection, robustness checks, and walk-forward and out-of-sample validation • Build data foundations with provenance, validation, and a consistent model of market entities • Improve observability to diagnose non-deterministic production failures • Refine requirements with product and set technical direction through RFCs and ADRs • Mentor engineers moving into LLM systems • Participate in on-call rotation, act as first responder for production incidents, and follow the incident response process

🎯 Requirements

• 5+ years of backend or ML engineering experience • At least 1 year building LLM-based systems in production • Track record of eval-driven development • Strong Python and production engineering fundamentals, including services, queues, streaming, observability, and Kubernetes • Ability to work with TypeScript or Go • Experience applying statistical principles to backtesting methodology • Product mindset and ability to take ambiguous goals to shipped, measured results • Working proficiency in English (B2+) • Quant finance background is a plus • Experience with knowledge graphs, ontologies, semantic layers, or RAG is a plus • Experience with Go is a plus • Experience building software on the receiving end of the MCP protocol is a plus • Experience with high-load, low-latency systems in fintech or trading is a plus • Language model fine-tuning or training experience is a plus • Participation in on-call rotation and incident response for owned services

🏖️ Benefits

• Responsible use of AI-assisted development tools as part of the engineering workflow • Participation in the team's on-call rotation with end-to-end service ownership • Global/remote work arrangement