Software Engineer
On-site·Posted 7mo ago
aiecommerceinfrastructureroboticspythongraphqlgcpllm
Software Engineer, AI 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 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 sits at the center of that. What You'll Do AI Agents 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. Backend & Infrastructure 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. Set the bar for code quality and architecture decisions across the backend. You're a Fit If 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 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 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: AI agent frameworks and LLM orchestration for building and managing long-running, multi-step agents 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 Backend: Python, FastAPI, PostgreSQL System design with a focus on async, long-running, stateful workflows GCP/cloud infrastructure (GKE/KEDA) — enough to own what your agents need API design (REST/GraphQL) General: 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 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 (5 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 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 I care more about how you think and what you've shipped.