AI Data Engineer-USA / Europe / Israel - with a 5hour overlap with EST

This is a remote role, and we will hire in the USA/Europe/Israel.

Looking for people with a deep understanding of the AI landscape, e.g., LLMs, RAG architecture, and MCPs. As well as a strong background in Python, API development, and SDK building.

The Role:

We're looking for a senior AI data engineer to design and build the agentic systems powering. 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

Required Skills and Experience

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