Senior AI Data Engineer (Agentic Systems)
M
MLabsFinTech
United States, France, Germany, Netherlands, Italy, Israel, 5hour overlap with EST hoursFull-TimeSenior
Salary130000 - 150000 USD per year
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Job Details
- Experience
- 5+ years of software engineering, with at least 2+ years specifically building production-level AI/ML systems.
- Required Skills
- Python
Requirements
- 5+ years of software engineering experience
- 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
- API design skills
- Familiarity with RAG pipelines, vector databases, and embedding-based retrieval
- Prior experience with financial data, DeFi/Crypto, or quantitative analysis (Preferred)
- Background in distributed systems or high-throughput data pipelines (Preferred)
- Active contributions to open-source AI/ML projects (Preferred)
Responsibilities
- Design and build single and multi-agent systems incorporating planning, memory, and tool use.
- Build and operate MCP servers with secure schemas and permissions.
- Develop sophisticated agentic workflows using LangGraph or equivalent frameworks.
- Manage prompts, structured outputs, and tool calling via SDKs.
- 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.
- Establish agentic best practices and mentor junior engineers.
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