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Senior Backend Engineer: AI Agents & Infra (SF On-site)Reacher • San Francisco, California, United States
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Senior Backend Engineer: AI Agents & Infra (SF On-site)

Reacher
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Jetzt Bewerben

Über

Senior Software Engineer, Infrastructure & Agents About Reacher We're the #1 TikTok Shop partner helping brands like Under Armour, Hanes, HeyDude, and Logitech scale their affiliate marketing. We've crossed 7 figures in ARR and are backed by YC. We're making a big bet on AI agents and what they can do for creator marketing. This role sits at the center of that. What You'll Do There are two main buckets of work: Infra Re-architect our jobs infrastructure using flexible, on-demand workers on GKE.
Own backend systems end-to-end: design, implement, ship, and maintain. Python, FastAPI, PostgreSQL, GCP.
Set the standard for code quality and architecture decisions across the backend.
AI Agents Build and own long-running AI agents that automate complex, multi-step workflows.
These are open-ended problems. We don't fully know how to solve them yet. That's kind of the point.
You're a Fit If 4+ years of backend engineering experience, ideally at a product-first company or strong engineering environment
Strong systems thinking: you've designed and built backend infrastructure that scales
You've worked on automation, agents, or complex async systems
You're comfortable with ambiguity and own problems end-to-end without hand-holding
You've worked directly with customers or product teams and can translate vague requirements into technical decisions
Resourceful: you figure things out, you don't wait for the answer to show up
Technical Skills We Value AI and Agentic Development: Claude Code proficiency: understanding of modes, context engineering ( CLAUDE.md ), custom commands, MCP integrations, and subagent coordination
AI-driven development workflows and effective prompt engineering
Ability to decompose complex engineering work into tasks suitable for AI assistance
Strong judgment for when to leverage AI vs. when to code directly
Experience verifying and reviewing AI-generated code for correctness, security, and maintainability
Backend: Python, FastAPI, PostgreSQL
AI agent frameworks and LLM orchestration for building and managing long-running, multi-step agents
System design and scalable architecture
GCP/cloud infrastructure (GKE/KEDA/EKS)
API design (REST/GraphQL)
General: Testing frameworks (Jest, React Testing Library, Cypress/Playwright)
Code reviews, documentation, and establishing conventions
Product analytics tools (Amplitude, Mixpanel) for data-driven development
Bonus Points You've been an early engineering hire at a startup
You've built or maintained internal automation systems that ran at scale
You've worked on AI agents, LLM pipelines, or autonomous systems
You've shipped side projects or contributed to open source
You're curious about e-commerce, creator marketing, or what AI will do to the agency business
Why Join Small team (6 engineers), high ownership — you're working on the hardest problems, not feature tickets
You'll work closely with the founders in SF on the longest-term bets in the company
Real equity, we care about it as much as salary
YC-backed, 7-figure ARR, strong customer base. The foundation is real, the hard problems are still ahead
Location On-site in San Francisco. This role is meant to be close to the founding team. When Applying Send a short note about something you've built and why this role excites you. GitHub, LinkedIn, resume all welcome — but we care more about how you think and what you've shipped.
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  • San Francisco, California, United States

Sprachkenntnisse

  • English
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