APEING is building next-generation on-chain trading infrastructure across perps, prediction markets, and high-velocity crypto assets. Our focus is not dashboards or wrappers — we're building execution-grade intelligence systems that operate continuously on-chain.

This role is for engineers who have already built, trained, and deployed real trading or decision-making systems, not theory, not demos.

We're looking for a Senior AI / Agentic Trading Engineer who has hands-on experience building autonomous or semi-autonomous trading systems that operate in live environments.

You will design, train, and deploy agentic systems that:

Process on-chain + off-chain data in real time
Model market structure, sentiment, and regime shifts
Make and execute trading decisions continuously
Operate safely under constraints, risk rules, and capital limits

This is a core product role, not a research or support role.

What You'll Work On

Agentic trading systems operating across perps, spot, and prediction markets
ML models for market state detection, signal generation, and execution timing
Real-time data pipelines (on-chain data, order flow, sentiment, events)
Strategy orchestration, risk constraints, and execution control
Continuous training, evaluation, and live feedback loops
Research and integration of latest advances in AI + DeFi

Key Responsibilities

Design and deploy production-grade agentic trading systems
Build and train ML models that operate on real market data
Implement decision-making loops that run continuously
Own performance metrics, drawdown control, and failure modes
Work closely with backend + infra teams to ensure reliability
Improve models based on real trading outcomes (not backtests only)
Research and apply cutting-edge techniques where they provide real edge

What We're Looking For (Non-Negotiable)

You must have:

Proven experience building live trading systems or autonomous agents
Experience deploying ML models into production, not just notebooks
Strong understanding of market microstructure and execution
Ability to reason about risk, failure modes, and adversarial conditions
Fluency in Python + at least one systems/backend language (Go, Rust, etc.)
Comfort working with blockchain data and on-chain execution

If you've never shipped a system that traded real capital, this role is not a fit.

Strong Plus

Experience with crypto trading systems or DeFi protocols
Experience with reinforcement learning, online learning, or control systems
Experience integrating ML systems with low-latency execution
Prior work on agentic frameworks or autonomous decision systems
Background in quantitative trading or applied ML at scale

Senior AI / Agentic Blockchain Trading Engineer