Reacher
Software Engineer
San Francisco
Sponsorship not specifiedDetected 252 days ago
PythonFastAPICode ReviewGitPostgreSQLGCPCloud PlatformsAPI DevelopmentGraphQLRESTLLMsAgentic AIAI OrchestrationPlaywrightpytest5G/LTE
About the role
- We've crossed 7 figures in ARR and are backed byY Combinator, Pioneer Fund, Rebel Fund, and operators including Steve Huffman (CEO of Reddit), Matteo Franceschetti (CEO of Eight Sleep), Theo Browne ( t3.gg ).
- We're making a big bet on AI agents and what they can do for creator marketing.
- This role is meant to be close to the founding team.
Responsibilities
- Build and own long-running AI agents that automate complex, multi-step workflows for TikTok Shop brands.
- Design agentic systems end-to-end: orchestration, state management, error recovery, and observability.
- Own the backend systems your agents run on - design, implement, ship, maintain. Python, FastAPI, PostgreSQL, GCP.
- Contribute to our jobs infrastructure (GKE-based, on-demand workers) as needed to support agent reliability and scale.
- Strong systems thinking, but applied toward agent reliability and workflow design, not just raw infra
- Comfortable with ambiguity and own problems end-to-end without hand-holding
Nice to have
- Python, FastAPI, PostgreSQL, GCP.
- Set the bar for code quality and architecture decisions across the backend.
- 3+ years of backend engineering experience, ideally at a product-first company
- You've built automation, agents, or complex async systems - and you think deeply about failure modes
Skills
- AI and Agentic Development:
- Claude Code proficiency: context engineering ( CLAUDE.md ), custom commands, MCP integrations, subagent coordination
- Strong judgment for when to leverage AI vs. when to code directly
- Ability to decompose complex engineering work into tasks suitable for AI assistance
- Experience verifying AI-generated code for correctness, security, and maintainability
- Python, FastAPI, PostgreSQL
- API design (REST/GraphQL)
- Testing frameworks (Playwright, Pytest) - especially for validating agent behavior end-to-end
- Code reviews, documentation, and establishing conventions
- Bonus Points
- You've been an early engineering hire at a startup
- You've built or maintained internal automation systems that ran at scale
Compensation
- Real equity, we care about it as much as salary
Benefits
- Real equity, we care about it as much as salary
Company info
- You've worked directly with customers or product teams and can translate vague requirements into technical decisions
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