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Product Engineer

  • Closed
  • US Company | Small (11-50 employees)
  • LATAM (100% remote)
  • 5+ years
  • Long-term · 40h/week
  • Education
  • Full Remote
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Required skills

  • TypeScript
  • Next.js
  • React.js
  • TRPC
  • Python
  • Node.js
  • LLM
  • AI Technologies
  • CI/CD
  • claude code

Requirements

Must-haves

  • 5+ years of software development experience
  • Experience owning at least one system in production
  • Experience with React, Next.js
  • Experience with Node.js
  • Experience with Python
  • Experience with Postgres
  • Experience with AWS, including regulated or restricted environments requiring self-hosted services
  • Experience building LLM applications (e.g., tool-using agents, retrieval and reranking, context management, long-running sessions)
  • Experience evaluating AI systems (e.g., deterministic checks, LLM judges, threshold calibration)
  • Experience with DevOps practices (e.g., CI/CD pipelines, containerization, infrastructure as code with Docker, Terraform, Pulumi, SST, etc.)
  • Experience shipping products that real users rely on, with a clear account of post-launch outcomes
  • Proficiency with AI-assisted development workflows (e.g., Claude Code) and informed views on their strengths and limits
  • Ability to make UX and product calls on problems that arrive without a spec or a mockup
  • Ability to tell a broken evaluation harness apart from an underperforming model
  • Deep knowledge of production-grade system design and the failure modes that surface at scale
  • Deep understanding of system-wide visibility (e.g., cloud services, security, service dependencies, observability)
  • Strong communication skills in both spoken and written English

Nice-to-haves

  • Startup experience
  • Experience designing, building, and operating MCP servers
  • Experience with regulated cloud environments (e.g. AWS GovCloud)
  • Experience with data pipelines or ML infrastructure
  • Experience with multi-tenant or whitelabeled products
  • Background in workforce development or edtech platforms
  • Bachelor's Degree in Computer Engineering, Computer Science, or equivalent

What you will work on

  • Own the architecture of your domain end to end: data modeling, API design, cloud infrastructure, and CI/CD
  • Build and release full-stack features spanning front-end, back-end, and infrastructure
  • Develop production AI agents with sessions that stay open for weeks, per-turn context assembly, database-writing tool calls, persistent memory, and runtime redirection by non-engineers without code changes
  • Expand the evaluation systems that track whether those agents improve or regress, keeping the harness trustworthy enough for the metrics to carry meaning
  • Develop hybrid matching and search: parallel sparse and dense retrieval, reranking, recency handling, and looping real usage signals back into scoring
  • Create the interfaces layered on top: streaming chat surfaces, admin and operator consoles, and several whitelabeled deployments delivered from one build
  • Own the DevOps lifecycle: containerization, deployment pipelines, monitoring, and cloud environments, including one regulated setup where third-party APIs are off-limits
  • Design, ship, and run MCP servers to integrate legacy systems and gradually retire them
  • Define and enforce standards for code quality, security, performance, and tenant isolation in a SOC 2 Type 2 certified environment where certain deployments face stricter requirements
  • Partner with product and leadership on build-vs-buy calls, technical risk, and architectural direction
  • Stay connected to the people using the product and own whether the work actually landed
  • Our Stack: TypeScript, Next.js, React, tRPC, Postgres with Drizzle, Tailwind and a shadcn-based design system, Python, AWS, Pulumi, SST, Docker, Qdrant, Bedrock, Turborepo, pnpm, Vitest, Playwright
Apply now
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