Principal AI Engineer — LLMs & Agentic Systems

10000 FactSet Research Systems Inc.

New York (NY)

On-site

USD 180,000 - 235,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
Retirement plan
Stock purchase program
Paid time off

Job summary

FactSet Research Systems Inc. is seeking a Principal Software Engineer to design, build, and ship AI-powered products leveraging large language models and agentic technologies.

You will lead engineering standards, mentor teams, and drive production-grade features from prototype to deployment. You will collaborate across product and platform teams, ensure safety and quality, and evolve AI tooling and workflows.

Qualifications

  • Bachelor’s degree in computer science or equivalent.
  • 8–10+ years of building, testing and deploying stable software.
  • Experience with LLMs and agentic technologies (prompt engineering, RAG, tool calling).
  • Familiarity with ClaudeCode and AI-driven development lifecycle.
  • Strong software architecture, scalable and observable systems.

Responsibilities

  • Build, test, and deploy AI-powered software including multi-step agents.
  • Lead code/design reviews and mentor engineers on AI patterns.
  • Define AI development standards and guardrails.
  • Collaborate with product managers and engineers on scope and tradeoffs.
  • Diagnose AI-specific issues including non-determinism and hallucinations.

Skills

LLM development
Agentic systems
Code reviews
Mentoring engineers
Performance optimization
Cloud platforms
CI/CD
Observability

Education

Bachelor’s degree in computer science

Tools

ClaudeCode
MCP server

Job description

FactSet Research Systems Inc. is seeking a Principal Software Engineer to design, build, and ship AI-powered products leveraging large language models and agentic technologies.

You will lead engineering standards, mentor teams, and drive production-grade features from prototype to deployment. You will collaborate across product and platform teams, ensure safety and quality, and evolve AI tooling and workflows.

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