AI Data Engineer

Job Description

Job Description

Career Renew is recruiting for one of its clients an AI Data Engineer - this is a fully remote role for candidates based in US / Europe / Israel as long as they can overlap at least 5 hours with the EST timezone. Salary range : 130-150K USD yearly plus benefits.

We build technology that powers safer, more accessible financial markets. Our risk management systems, oracles, and AI models secure over $200 billion in assets across protocols including Aave, Jupiter, and GMX, processing more than $5 trillion in transaction volume. We recently launched Chaos AI, a financial intelligence platform that transforms complex market data into actionable insights and brings institutional-grade intelligence to everyone.

The Role :

We're looking for a Senior AI Data Engineer to design and build the agentic systems powering Chaos AI. You'll work at the intersection of LLMs, financial data, and production infrastructure, creating intelligent agents that reason, plan, and execute across complex financial workflows.

Responsibilities :

Design and build single and multi-agent systems with planning, memory, and tool use

Build and operate MCP servers with secure schemas and permissions

Develop agentic workflows using LangGraph or equivalent frameworks

Integrate LLMs via SDKs; manage prompts, structured outputs, and tool calling

Define and run LLM evaluations for quality, correctness, latency, cost, and regressions

Build observability and reliability infrastructure : logging, tracing, retries, state management

Optimize performance and cost from prototype to production

Mentor engineers and establish agentic best practices

Requirements :

5+ years software engineering; 2+ years building production AI / ML systems

Hands-on experience with agentic architectures and tool calling

Practical experience with MCP servers

Experience with LangGraph or equivalent agentic frameworks

Experience designing and operating LLM evaluation pipelines

Strong Python and API design skills

Familiarity with RAG pipelines, vector databases, and embedding-based retrieval

Preferred Qualifications :

Experience with financial data, crypto / DeFi, or quantitative analysis

Background in distributed systems or high-throughput data pipelines

Contributions to open-source AI / ML projects

Our Perks :

Compensation & Equity – competitive package aligned with growth, performance, and merit

Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally