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Senior/Staff Software Engineer: Agents

Role overview

Qualifications

  • 5+ years of professional software engineering experience
  • Proven experience building and shipping production-grade AI/LLM-powered applications or agentic systems
  • Strong expertise in backend development using Node.js and TypeScript
  • Full-stack engineering experience with modern frontend frameworks such as React and TypeScript

Responsibilities

  • Own and deliver AI agent experiences end-to-end, including backend orchestration, LLM integrations, conversational interfaces, tool execution, and evaluation systems
  • Design scalable architectures for agentic AI systems and contribute to platform-level AI infrastructure
  • Collaborate with Product, Design, and Engineering leadership to define technical direction and product strategy
  • Lead or contribute to large-scale technical initiatives across multiple teams and mentor engineers

Key facts

Hard skills

Other skills

  • Collaboration
  • Communication
  • Leadership

About the company

Virco Mfg. Corporation logo

Virco Mfg. Corporation

  • Home & Furniture
  • 1,001–5,000
As America's leading manufacturer and supplier of classroom furniture and equipment, Virco product has proudly served the diverse education community for over 65 years. At Virco, we're committed to providing the best selection of Equipment for Educators™ from preschool through high school to higher learning (colleges & universities), trade, technical and vocational schools. Virco is proud of our iconic American quality and innovation - we design, manufacturer and assemble our products at state-of-the-art facilities in Torrance, California and Conway, Arkansas. Built with the highest quality raw materials, we are committed to providing the best solutions for educators for today's 21st Century Learners.

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Job description

Position Overview

We are seeking a highly experienced Senior/Staff Software Engineer to help design and build next-generation AI-powered agent platforms for customer-facing applications. This role is ideal for engineers who thrive in fast-paced startup environments, enjoy solving complex technical challenges, and have hands-on experience shipping production-grade LLM or agentic AI systems.

The ideal candidate brings strong full-stack engineering capabilities with a backend-first mindset, deep familiarity with AI tooling and infrastructure, and the ability to lead high-impact cross-functional initiatives from concept through production.

This is a fully remote opportunity open to candidates located in the United States or Canada.

Key Responsibilities

  • Own and deliver AI agent experiences end-to-end, including backend orchestration, LLM integrations, conversational interfaces, tool execution, and evaluation systems
  • Design scalable architectures for agentic AI systems and contribute to platform-level AI infrastructure
  • Build and improve shared systems such as:
    • Tool abstractions
    • Retrieval pipelines / RAG systems
    • Conversation persistence
    • Evaluation frameworks
    • Permissioning and observability
  • Collaborate closely with Product, Design, and Engineering leadership to define technical direction and product strategy
  • Make thoughtful engineering tradeoffs balancing latency, reliability, scalability, and cost efficiency
  • Improve AI system quality through experimentation, evaluation frameworks, and continuous iteration
  • Lead or contribute to large-scale technical initiatives across multiple teams
  • Mentor engineers and promote engineering best practices across the organization

Required Qualifications

  • 5+ years of professional software engineering experience
  • Proven experience building and shipping production-grade AI/LLM-powered applications or agentic systems
  • Strong expertise in backend development using Node.js and TypeScript
  • Experience designing scalable distributed systems, microservices, and backend infrastructure
  • Hands-on experience with:
    • Tool calling
    • Prompt engineering
    • Agent loops
    • AI orchestration frameworks
  • Familiarity with evaluation and observability tooling for non-deterministic AI systems such as:
    • LangSmith
    • Braintrust
    • Custom evaluation frameworks
  • Full-stack engineering experience with modern frontend frameworks such as React and TypeScript
  • Strong understanding of databases such as PostgreSQL and MongoDB
  • Excellent communication and collaboration skills with cross-functional teams
  • Demonstrated ownership mentality and ability to operate independently in ambiguous environments

Preferred Qualifications

  • Experience with Retrieval-Augmented Generation (RAG) systems at production scale
  • Prior experience building customer-facing AI products
  • Background working at high-growth or venture-backed startups
  • Contributions to open-source AI tooling, agent frameworks, or developer productivity systems
  • Experience mentoring engineers or leading technical initiatives
  • Familiarity with AI observability and evaluation workflows
  • Experience with cloud infrastructure and modern deployment practices

Compensation & Benefits

  • Competitive base salary ($210K – $230K DOE)
  • Competitive equity package
  • Fully remote work environment
  • Opportunity to work on cutting-edge AI products with significant technical ownership
  • High-impact role within a rapidly growing engineering organization

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