Senior AI Tools Engineer for Agentic MCP Platforms

Landing Point

New York (NY)

On-site

USD 150,000 - 250,000

Full time

14 days+
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Job summary

Landing Point is seeking a Software Engineer for its AI Team in New York to evaluate, distribute, and maintain internal AI tools across the firm. The role emphasizes agentic engineering practices, security policy definition, and migration of legacy workflows to modern agentic workflows.

You will contribute to multiple projects and maintain MCP infrastructure while ensuring robust, scalable AI tooling in a fast-paced investment environment.

Qualifications

  • 5+ years as a software engineer working with Python or Java
  • Strong SQL or NoSQL skills
  • Experience with MCP servers
  • Experience with containerization (Docker/Podman)
  • Experience with CLI agentic coding tools (Claude Code, Gemini CLI, Copilot CLI)
  • Deep understanding of how modern models work (training, generation, strengths/weaknesses)
  • Bachelor's or master's degree in CS/Engineering/Physics/Mathematics or equivalent

Responsibilities

  • Establish, iterate, and educate on best practices for agentic engineering
  • Create, manage, and maintain internal MCP servers
  • Define and maintain security policies and data entitlements for agentic projects
  • Migrate legacy workflows to agentic workflows
  • Maintain and contribute to internal skills repository
  • Contribute to multiple concurrent projects

Skills

Python/Java
SQL/NoSQL
CLI tools (Claude Code, Gemini CLI,Cop
ML models basics

Education

Bachelor's or Master's degree in CS/Engineering/Physics/Math

Tools

MCP servers
Docker/Podman

Job description

Landing Point is seeking a Software Engineer for its AI Team in New York to evaluate, distribute, and maintain internal AI tools across the firm. The role emphasizes agentic engineering practices, security policy definition, and migration of legacy workflows to modern agentic workflows.

You will contribute to multiple projects and maintain MCP infrastructure while ensuring robust, scalable AI tooling in a fast-paced investment environment.

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