Staff AI Engineer

About the Role

Career Renew is recruiting for one of its clients a Staff AI Engineer. This is a fully remote role for US-based candidates who can work EST hours.

About the Team

The team is building the Hyperliquid Agent Runtime. Senpi agents make real trades with real money 24/7, generating a continuous stream of decisions and outcomes across dozens of concurrent strategies. Currently, agents are effective but independent. The team is hiring a Staff AI Engineer to build the intelligence layer where the fleet learns from itself and gets smarter with every trade. This is a production role with an immediate feedback loop where your work directly impacts the agents' profitability.

What You'll Own

Learning & Optimization

The fleet generates thousands of trading decisions per day, each with a measurable outcome. You'll build the systems that turn this stream into compounding intelligence:

• Design and implement the feedback loop that connects trade outcomes back to strategy improvement (signal selection, risk parameters, position sizing, and timing).
• Build the evaluation framework that quantifies which signals, market conditions, and agent configurations actually predict profitable trades versus which ones are noise.
• Develop automated strategy generation and testing, allowing the system to explore new configurations, backtest them against real fleet data, and surface candidates for deployment.
• Detect shifts in market conditions and adapt fleet behavior accordingly.

Autonomous Fleet Intelligence

Build higher-order agents that manage and improve the fleet without human intervention:

• Automated fleet monitoring that continuously catches configuration errors, degraded performance, and infrastructure issues across all agents.
• Performance attribution that decomposes every trade into its component drivers and feeds those insights back into strategy design.
• Fleet coordination that manages concentration risk, capital allocation across strategies, and the balance between exploration and exploitation.

Model & Inference

Own the path from external LLM dependence to Senpi-controlled intelligence:

• Evaluate and implement the right model hosting strategy.
• Build the telemetry and data capture layer that makes learning possible.
• Determine whether and how domain-specific training outperforms general-purpose prompted models, then build the pipeline to make it happen.
• Optimize inference for the specific demands of autonomous trading.

What We're Looking For

Must Have

• ML engineering in production: Experience training, deploying, and maintaining models that run in production and directly impact business outcomes.
• Reinforcement learning or online learning experience: Experience building systems where model outputs generate actions that generate feedback that improves the model.
• Strong software engineering: Proficiency in Python, with comfort in Go or TypeScript for production services. Experience building data pipelines and distributed systems.
• End-to-end ownership: Proven experience building a system where predictions lead to actions that generate outcomes that feed back into better predictions, with measurable improvement over time.

Strong Plus

• Experience with financial ML (signal generation, alpha research, portfolio optimization, or execution optimization).
• LLM fine-tuning and serving experience.
• Multi-agent systems experience.
• Onchain data or DeFi protocol experience.
• Background in domains where agents make sequential decisions under uncertainty.

What This Role Is Not

This is not an ML research role focused on publishing papers. You will own the full stack from data pipeline to deployed model to production outcome. This is also not a prompt engineering role; the focus is on learned behavior through experience.

Compensation & Package

Compensation

• Total starting all-in comp: ~$450k
• Base salary: $175,000-$250,000 USD (location and experience dependent)
• Equity: ~1% initial stock grant, valued at $230,000 in the last round, projected to double in the next 6 months.
• Bonuses: Team-wide eligibility for salary increases and bonuses tied to revenue and usage.
• Token upside: Pro-rata participation in Senpi's token launch (planned for 2026).

This role is meaningfully ownership-driven, with upside tied directly to company success.

Salary Range: $175,000 - $250,000 USD yearly plus benefits and equity.