Senior Software Engineer (AI Agents)

arcadia

New York (NY)

On-site

USD 130,000 - 170,000

Full time

5 days ago
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Job summary

Arcadia seeks a Senior Software Engineer (AI Agents) to build the core systems behind an intelligent automation platform used in complex industries. You will design and ship production-grade LLM systems, contribute across the stack, and influence both product and technical architecture.

This high-ownership role places you near the founding team, shaping major architectural decisions and delivering solutions that scale operations and automate real-world workflows.

Qualifications

  • 5+ years of professional software engineering experience.
  • Strong full-stack capabilities with Python/TypeScript/React/Node.js/Go.
  • Hands-on experience building or integrating LLM-powered or agent-based systems.

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

Python
TypeScript
React
Node.js
Go

Tools

LLM integration
APIs

Job description

About the Role

We're looking for a Senior Software Engineer (AI Agents) to build the core systems behind an intelligent automation platform used in highly complex, operations-heavy industries. You'll design and ship production-grade LLM systems, contribute across the stack, and play a key role in evolving both the product and technical architecture. This is a high-ownership, high-impact role where you'll collaborate closely with the founding team, contribute to major architectural decisions, and build technology that solves real-world operational problems at scale.

What You’ll Do
  • 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
Who You Are
  • A senior-level engineer with experience in high-growth or startup environments
  • Comfortable owning projects end-to-end with minimal oversight
  • Strong in 0 to 1 product development and able to operate in ambiguous problem spaces
  • Genuinely interested in applied AI and complex operational workflows
  • Pragmatic, execution-focused, and thoughtful about long-term system design
What We’re Looking For
  • 5+ years of professional software engineering experience
  • Strong full-stack capabilities (Python, TypeScript, React, Node.js, Go, or Python)
  • 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
Bonus Points
  • Experience with retrieval pipelines, orchestration frameworks, or structured data extraction
  • Prior experience at an early-stage startup
Why You’ll Love This Role
  • Meaningful equity and ownership at a high-growth startup
  • Opportunity to help shape the core architecture of a category-defining AI platform
  • Direct collaboration with founders on product and technical strategy
  • High-trust environment with real autonomy
  • The chance to modernize a critical global industry with automation and intelligent systems
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