AI-Native Software Engineer: Build with Agents in Production

Insider One

United States

Remote

USD 120,000 - 155,000

Full time

14 days+
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Benefits offered by this job

Monthly meal allowance
Private health insurance
Yoga clubs
Learning resources subscriptions
ESOP eligibility
Referral bonuses

Job summary

Insider One is hiring engineers to build products with agents in a high-traffic production environment. You will plan, implement, test, review, and ship features with coding agents, while setting intent and owning outcomes.

You will work in a fast-paced team, improving prompts, guardrails, and tooling to empower others. We expect hands-on experience with agent-driven workflows and a strong engineering mindset in a global, multi-office setting.

Qualifications

  • Daily use of coding agents on real work.
  • At least one project you can walk us through end to end.
  • Agentic experience: tool and function calling, multi-step workflows, state, error recovery, human-in-the-loop.
  • Context discipline: show how you set an agent up to succeed — project files, standards, examples, scoped tasks.
  • Solid engineering fundamentals: code, testing, error handling, security, performance.

Responsibilities

  • Ship with agents using Claude Code and other tools in production.
  • Own the output by reviewing agent-generated code and guarding against hallucinations.
  • Fix the context, not the prompt; maintain standards and architecture notes.
  • Build team-level tooling: prompts, sub-agents, MCP integrations.
  • Review AI-assisted work and share setups with the team.

Skills

Coding with agents
Agentic experience
Context discipline
End-to-end walkthrough

Job description

Insider One is hiring engineers to build products with agents in a high-traffic production environment. You will plan, implement, test, review, and ship features with coding agents, while setting intent and owning outcomes.

You will work in a fast-paced team, improving prompts, guardrails, and tooling to empower others. We expect hands-on experience with agent-driven workflows and a strong engineering mindset in a global, multi-office setting.

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