AI Engineer (Agentic Systems)
Core
Design and build agentic AI systems that call tools, query client data, reason over it, and deliver actionable outputs for Tier 1 banks and hedge funds.
Role type
Senior IC AI Engineer (Agentic Systems)
Builds
Production-ready LLM-backed agents, MCP servers, and reusable accelerators for financial clients.
Domain
Financial services / Capital markets technology
Deliverable
production ML models
Required skills
LLM-backed agent development, tool use, MCP server development, orchestration between specialist agents, evaluation and guardrails, cloud model API integration, local model deployment, AI-assisted development tools, software engineering fundamentals (version control, testing, CI/CD), technical communication
Preferred skills
Financial services domain knowledge, time series or analytical databases (kdb+/KDB-X, ClickHouse, Oracle), Python, Java, TypeScript, on-premise model deployment
Technologies
LLMs, MCP servers, cloud model APIs, local model environments, AI-assisted coding tools
Responsibilities
Design and build agents that call tools and reason over client data; work across cloud and local model environments; convert vague client problems into scoped proofs of concept and maintainable solutions; build reusable accelerators for future engagements.
Seniority
Senior, hands-on IC