AI Engineer

📋 Description

• Design, build, and own agentic systems delivering client-ready financial deliverables end-to-end.
• Develop evaluation and quality systems: deterministic checks, grounding, regression tests.
• Turn proprietary data into evidence-backed insight via pipelines that discover, quantify, verify patterns.
• Build and refine retrieval systems grounding deliverables in unstructured and structured financial data.
• Advance agentic capabilities: composability, function calling, modular orchestration.
• Shape the product roadmap by prioritizing time-to-market, risk, and impact.

🎯 Requirements

• 2+ years deploying ML or LLM systems in production.
• Experience building agentic systems: function calling, tooling, orchestration.
• Experience creating and validating evaluations for LLM systems.
• Experience building retrieval over unstructured and structured data; documents as artifacts.
• Evolving AI-assisted development workflow with proportional verification.
• Strong Python proficiency and frontier model API fluency.

🎁 Benefits

• Salary range: $200k-$300k annually.
• Comprehensive medical, dental and vision insurance.
• Unlimited PTO.