Engineering Manager — AI-First Platform & Agent Teams
LumiMeds Remote Remoto Publicada em 7 de jul. de 2026
Manager
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Responsabilidades
- Lead and grow a high-performing engineering team of 4–8 full-stack engineers — hiring, onboarding, coaching, and development
- Design and operate Claude agent teams — architect agent pipelines using the Claude Agent SDK to parallelize engineering work
- Stay in the code as a working engineer — write production code, review PRs with technical depth, debug problems, and pair with engineers
- Define how the team uses AI tooling (Cursor, Claude Code, agent pipelines) and push the frontier
- Run sprint planning, resolve blockers, manage dependencies across product, clinical, and infrastructure teams
- Write tickets that AI agents can execute — precise, structured specs with unambiguous acceptance criteria and edge cases
- Build and own consumer app and e-commerce systems — mobile-backed apps, storefronts, subscription billing, checkout flows
- Design and maintain A/B testing infrastructure — feature flags, experiment assignment, statistical significance tracking, results dashboards
- Build engineering standards, PR review norms, deployment practices, observability, and incident response systems
- Collaborate cross-functionally with Product, Clinical, and Ops to translate requirements into engineering reality
Requisitos
- 6+ years of software engineering experience, including 2+ years in a lead or management role
- Hands-on experience with Node.js / TypeScript backends and Next.js / React frontends — read, write, and review production code at a senior level
- Strong database fundamentals: PostgreSQL (schema design, migrations, query optimization), Redis
- Demonstrated experience building and orchestrating multi-agent Claude Agent SDK pipelines in production
- Production experience integrating LLMs into real systems — streaming, tool use, structured outputs, prompt engineering
- Daily use of Claude Code, Cursor, or equivalent; built workflows around these tools
- Proven experience designing and building web A/B testing platforms from the ground up
- Deep understanding of experiment design: randomization, assignment consistency, statistical power, holdout groups, novelty bias avoidance
- Experience running experiments across high-traffic consumer funnels (checkout, onboarding, pricing, landing pages)
- Hands-on experience building consumer apps and e-commerce platforms end to end — storefronts, checkout, subscriptions, billing
- Built user behavior tracking infrastructure: event schemas, analytics pipelines, conversion funnels, retention analysis
- Experience running engineering sprints, managing dependencies, and owning delivery timelines
- Familiarity with AWS (EC2, RDS, Lambda, S3), Vercel, GitHub Actions, and CI/CD pipelines
- Working knowledge of HIPAA/SOC2 requirements — understand how compliance shapes architecture decisions
- Fluent written and spoken English — all team communication is async in English
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