Agentic Systems: Design and build single and multi-agent systems incorporating planning, memory, and tool use.
Infrastructure: Build and operate MCP servers with secure schemas and permissions.
Workflows: Develop sophisticated agentic workflows using LangGraph or equivalent frameworks.
LLM Integration: Manage prompts, structured outputs, and tool calling via SDKs.
Evaluation: Define and run LLM evaluation pipelines for quality, correctness, latency, cost, and regressions.
Observability: Build reliability infrastructure, including logging, tracing, retries, and state management.
Performance: Optimize performance and cost-efficiency from prototype to production.
Mentorship: Establish agentic best practices and mentor junior engineers.

Requirements

Experience: 5+ years of software engineering, with at least 2+ years specifically building production-level AI/ML systems.
Agentic Expertise: Hands-on experience with agentic architectures, tool calling, and LangGraph (or equivalent).
Protocol Knowledge: Practical experience with Model Context Protocol (MCP) servers.
Evaluation Skills: Demonstrated experience designing and operating LLM evaluation pipelines.
Technical Stack: Strong Python proficiency and API design skills.
Retrieval Systems: Familiarity with RAG pipelines, vector databases, and embedding-based retrieval.
**Preferred Qualifications:**
- 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.

Benefits

Competitive Compensation & Equity: They offer a package aligned with growth, performance, and merit.
Professional Growth: Be a foundational member of a rapidly expanding, global technology company with significant room for career advancement.
High-Stakes Impact: Work on systems that secure hundreds of billions of dollars and define the future of financial risk management.
Talent-Dense Team: Collaborate with world-class data scientists and engineers in a high-performance culture.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAPI designagentic architecturesLangGraphModel Context Protocol (MCP)LLM evaluation pipelinesRAG pipelinesvector databasesembedding-based retrievalperformance optimization

Soft Skills

mentorshipestablishing best practices