Backend Engineer

The Problem Worth Solving Lucy is an autonomous multi-agent AI system. She doesn't follow scripts or wait for instructions - she decides which specialist agents to deploy, delegates work in parallel, synthesizes their findings, and acts. She's live with 22 agencies managing 420 brands, with 1,300+ more on the waitlist. The infrastructure challenges are real and don't have playbooks: Making non-deterministic systems feel fast and reliable. Scaling ephemeral compute for unpredictable workloads. Keeping multi-agent coordination performant under load. Processing large datasets without blowing up memory or cost. The Mission Own the systems Lucy runs on. The architectural decisions you make now - how compute provisions, how agents coordinate, how data streams at scale - will define how we operate at 10x. What You'll Own Design and ship production-grade APIs: versioned, well-documented, with clear contracts, validation, and robust error handling. Architect and scale backend services for reliability and performance - autoscaling, caching, circuit breakers, geo distribution. Own and optimize our data layer at scale across hundreds of brands. Build and maintain the compute infrastructure that lets autonomous agents run fast and reliably. Manage and evolve cloud infrastructure across multiple providers. Reduce technical debt proactively - simplify data models, refactor critical flows, improve test coverage. Build with observability in mind: monitoring, alerting, and incident readiness from day one. Our stack: Node.js + TypeScript, React, Postgres, GCP What We're Looking For 5+ years backend engineering with real infrastructure depth - containers, distributed state, systems that run without human intervention. You've operated relational databases and caching layers at scale, not just locally. Strong API and systems design instincts: you think about failure modes, reconnection, and idempotency before you ship. Hands-on with cloud infrastructure and IaC in production. You make good tradeoffs. You know when to pre-warm a container pool versus cold-start, when to buffer versus stream, when to move fast versus build it right. You leave codebases cleaner than you found them. Experience with agentic AI systems, workflow engines, or container orchestration is a genuine plus. Why Epiminds Epiminds is a small, high-ownership team built by people from Google and Spotify, backed by investors behind Anthropic, xAI, and Mistral. We're building autonomous multi-agent AI systems for marketing - not as a future vision, but in production today, used by agencies and brands at scale. The product is live, the challenges are compounding, and there's no established playbook. You'd be helping write it. What We Offer Competitive salary and meaningful equity. Healthcare, retirement savings, wellbeing support. Office catering. Recruitment Process Recruiter Screening. Technical task. Code Interview. Trial with us in the office. Epiminds is an equal opportunity employer. We welcome applicants of all backgrounds and are committed to creating an inclusive environment for everyone.