Senior/Staff Software Engineer: Agents

Virco Talent

United States

Remote

USD 210,000 - 230,000

Full time

5 days ago
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Benefits offered by this job

Fully remote work environment
Competitive equity package
Challenging AI projects

Job summary

Virco Talent is hiring a Senior/Staff Software Engineer to design and build AI-powered agent platforms for customer-facing applications. Fully remote in the United States or Canada, you will own end-to-end AI agent experiences, orchestration, and platform AI infrastructure.

The role requires strong backend skills (Node.js/TypeScript), experience with distributed systems, and hands-on AI tooling expertise. You will collaborate with product, design, and engineering leadership while mentoring

Qualifications

  • 5+ years of professional software engineering experience.
  • Proven experience building and shipping production-grade AI/LLM-powered applications or agentic systems.
  • Strong backend development with Node.js and TypeScript.
  • 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 development with React and TypeScript.
  • Strong knowledge of PostgreSQL and MongoDB.
  • Excellent communication and collaboration with cross-functional teams.
  • Ownership mindset and ability to work independently in ambiguous environments.

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.
  • 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; mentor engineers and promote best practices.

Skills

5+ years of experience
AI/LLM production
Node.js
TypeScript
Distributed systems
Tool calling
Prompt engineering
Agent loops
AI orchestration frameworks
AI evaluation tooling
Observability tooling
React
PostgreSQL
MongoDB
Communication
Ownership

Tools

LangSmith
Braintrust
Custom evaluation frameworks

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

Originally posted on Himalayas

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