DevSavant Inc. - Principal Engineer & Architect
Requirements
• 8+ years of production software experience, including recent hands-on ownership of a major system's architecture. • 8+ years of production software experience, • 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, not just prototypes. You have built guardrails, evaluated agents prior to launch, monitored them in production, and handled agent-specific failure modes like loops, silent stalls, context drift, and tool misuse. • Production LLM Agent Systems: • RAG & Engineering Depth: Deep understanding of RAG pipelines, chunking strategies, and vector data workflows. • RAG & Engineering Depth: • Production Infrastructure Ownership: Experience managing uptime, running CI/CD, setting up observability, and handling production incidents end to end. • Production Infrastructure Ownership: • Cloud Architecture (AWS or GCP): Proven experience making and defending decisions around platform hosting and runtimes. • Cloud Architecture (AWS or GCP): • Production API Integrations: Experience with complex third-party API environments involving webhooks, incremental polling, idempotency, retries, data • Production API Integrations: • normalization, and data reconciliation. • Data Modeling: Strong experience with relational and event-driven data designs where data accuracy is the priority. • Data Modeling: • Multi-Tenant SaaS Security: Practical experience with tenant isolation, secrets hygiene, least-privilege access control, and audit logs. • Multi-Tenant SaaS Security: • Written-First Leadership: Ability to write clear, complete technical specifications that allow remote engineering teams to execute high-quality work asynchronously. • Written-First Leadership: • Communication: Excellent written and spoken English and Spanish. • Communication: • Nice-to-haves • Official AWS or GCP Cloud Architect certifications. • Experience with agent frameworks beyond single-vendor stacks (such as OpenClaw, MCP, or A2A). • Experience with Infrastructure as Code and observability tools like Prometheus or Grafana. • Background in graph databases and knowledge graphs. • Early-stage startup experience building new product lines from 0→1.
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. • Whole-Platform Architecture: • Production AI Agent Systems: Handle agent design, tool usage, guardrails, evaluations, and monitoring for agents executing business workflows with human oversight. • Production AI Agent Systems: • 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. • Cloud & Infrastructure Direction: • 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. • Security & Multi-Tenant Architecture: • Technical Leadership: Set code standards, conduct reviews, and guide a distributed bench of senior engineers through clear written specifications. • Technical Leadership: • Client Engagement: Serve as the technical point of contact with clients and design partners when complex architectural discussions require it. • Client Engagement:
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