Senior AI Agents Engineer — Scalable LLM Systems & Equity

Arcadia

New York (NY)

On-site

USD 150,000 - 230,000

Full time

3 days ago
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Job summary

Arcadia seeks a Senior Software Engineer (AI Agents) to build core systems for an intelligent automation platform used in complex industries. You’ll design and ship production-grade LLM systems, contribute across the stack, and influence product and architectural decisions.

This high-ownership role involves close collaboration with the founding team and shaping technology that scales to real-world operational problems.

Qualifications

  • 5+ years of professional software engineering experience.
  • Experience designing and shipping production backend systems and APIs.
  • Hands-on experience building or integrating LLM-powered or agent-based systems.
  • Ability to design scalable services and data pipelines.
  • Strong technical judgment and ability to make sound tradeoffs.
  • Clear communicator who can collaborate cross-functionally and with customers.

Responsibilities

  • Build and scale the core automation and AI agent systems that power the platform.
  • Work across the stack: backend APIs, data pipelines, orchestration layers, and frontend workflows.
  • Design and deploy agent-based LLM components for reasoning, extraction, and decision-making.
  • Collaborate directly with users to understand workflows and ship high-impact solutions.
  • Contribute to architecture discussions and help drive key technical decisions.
  • Write clean, reliable, maintainable code with strong engineering fundamentals.
  • Support roadmap execution and help elevate engineering standards as the team grows.

Skills

Senior-level engineer
End-to-end ownership
Backend APIs
AI agents / LLM
Data pipelines
Distributed systems
Clear communicator

Job description

Arcadia seeks a Senior Software Engineer (AI Agents) to build core systems for an intelligent automation platform used in complex industries. You’ll design and ship production-grade LLM systems, contribute across the stack, and influence product and architectural decisions.

This high-ownership role involves close collaboration with the founding team and shaping technology that scales to real-world operational problems.

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