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Senior/Staff Software Engineer: Agents

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Collaboration
  • Communication
  • Leadership

Roles & Responsibilities

  • 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

Requirements:

  • 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

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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