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Principal Engineer & Architect - AI Agent Plaform

DevSavant Inc.· DS
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LATAM$0Full-timePosted 2w ago

About the role

Senior engineering and technical architecture lead for a managed AI agent platform, owning core platform architecture, data layers, integrations, security, and production-grade AI agent systems. Partners with Director of Engineering, guides distributed senior engineers, and engages with clients on complex architectural discussions.

Responsibilities

  • Whole-Platform Architecture: Design how client systems connect, how data is normalized and stored, how information is served to dashboards and AI agents, and how new client tools get integrated efficiently. You will be hands-on, building the primary framework skeletons yourself.
  • Production AI Agent Systems: Handle agent design, tool usage, guardrails, evaluations, and monitoring for agents executing business workflows with human oversight.
  • Cloud & Infrastructure Direction: Lead deployment architecture, CI/CD, observability, and cost management. The platform runs on containerized infrastructure today; deciding where the runtime should live long-term is one of your first major projects.
  • Security & Multi-Tenant Architecture: Own tenant isolation, secrets management, least-privilege access, and audit trails for a platform handling financial data. You define the standards, and the team implements them.
  • Technical Leadership: Set code standards, conduct reviews, and guide a distributed bench of senior engineers through clear written specifications.
  • Client Engagement: Serve as the technical point of contact with clients and design partners when complex architectural discussions require it.

Qualifications

  • 8+ years of production software experience, including recent hands-on ownership of a major system's architecture.
  • Modern Tech Stack Expertise: Deep experience in TypeScript and Node.js ecosystems, modern frontends (React, Remix / React Router v8, Tailwind, ShadCN), relational ORMs (Drizzle), validation tools (Zod), databases (PostgreSQL, Redis), and queueing systems (PgBoss).
  • Production LLM Agent Systems: Proven track record shipping and operating real LLM agent systems, including guardrails, production monitoring, and handling failure modes like loops, stalls, context drift, and tool misuse.
  • RAG & Engineering Depth: Deep understanding of RAG pipelines, chunking strategies, and vector data workflows.
  • Production Infrastructure Ownership: Experience managing uptime, CI/CD, observability, and production incidents end-to-end.
  • Cloud Architecture (AWS or GCP): Experience making and defending platform hosting and runtime decisions.
  • Production API Integrations: Experience with complex third-party API environments involving webhooks, incremental polling, idempotency, retries, data normalization, and data reconciliation.
  • Data Modeling: Strong experience with relational and event-driven data designs where data accuracy is the priority.
  • Multi-Tenant SaaS Security: Practical experience with tenant isolation, secrets hygiene, least-privilege access control, and audit logs.
  • Written-First Leadership: Ability to write clear, complete technical specifications that allow remote engineering teams to execute high-quality work asynchronously.
  • Communication: Excellent written and spoken English and Spanish.

Skills

Required:TypeScriptNode.jsReact/RemixPostgreSQLRedisPgBossZodLLM/Agent Systems
Last updated Oct 8, 2026. Interested? Apply on the company site.

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