Principal Software Engineer, Applied AI - Hybrid (LLM, Agentic, Claude Code, MCP)
Core
Design, build, and ship production-grade AI-powered products leveraging LLMs and agentic technologies for investment professionals.
Role type
Principal Software Engineer (Applied AI)
Builds
Multi-step agents, tool calling, retrieval-augmented generation, and workflow orchestration systems.
Domain
Financial data and analytics
Deliverable
production ML models
Required skills
LLM and agentic system development, AI coding assistants (Claude Code), software architecture, evaluation frameworks for non-deterministic systems, mentorship
Preferred skills
Financial data workflows, cloud platforms, containerization, MLOps/LLMOps, model fine-tuning
Technologies
LLMs, agentic frameworks, MCP, CI/CD
Responsibilities
Design and develop production-grade LLM and agentic applications; Lead code and design reviews; Mentor engineers on applied AI patterns; Define team standards for AI-assisted development; Diagnose and resolve AI-specific issues.
Seniority
Principal, technical leadership & mentorship
