Senior AI Data Engineer (Agentic Systems)

TL;DR

Senior AI Data Engineer (Agentic Systems): Design and build agentic systems for a financial intelligence platform with an accent on LLM integration, evaluation pipelines, and production infrastructure. Focus on creating intelligent agents that reason, plan, and execute across complex financial workflows and optimizing performance for high-stakes environments.

Location: Remote (USA, Europe, or Israel) with a 5-hour overlap with EST hours

Salary: $130,000–$150,000

Company

hirify.global builds technology for safer, more accessible financial markets, securing over $200 billion in assets with risk management systems, oracles, and AI models.

What you will do

• Design and build single and multi-agent systems incorporating planning, memory, and tool use.
• Develop sophisticated agentic workflows using frameworks like LangGraph.
• Manage LLM integration, including prompts, structured outputs, and tool calling.
• Define and run LLM evaluation pipelines for quality, correctness, latency, cost, and regressions.
• Build reliability infrastructure, including logging, tracing, retries, and state management.
• Optimize performance and cost-efficiency from prototype to production.

Requirements

• 5+ years of software engineering experience, with at least 2+ years specifically building production-level AI/ML systems.
• Hands-on experience with agentic architectures, tool calling, and LangGraph (or equivalent).
• Practical experience with Model Context Protocol (MCP) servers.
• Demonstrated experience designing and operating LLM evaluation pipelines.
• Strong Python proficiency and API design skills.
• Familiarity with RAG pipelines, vector databases, and embedding-based retrieval.

Nice to have

• Prior experience with financial data, DeFi/Crypto, or quantitative analysis.
• Background in distributed systems or high-throughput data pipelines.
• Active contributions to open-source AI/ML projects.

Culture & Benefits

• Competitive compensation and equity package.
• Significant room for career advancement within a rapidly expanding global technology company.
• High-stakes impact on systems securing hundreds of billions of dollars.
• Collaborate with world-class data scientists and engineers in a high-performance culture.