Aragorn AI

Compensation

Full Description

About Aragorn AI Aragorn AI is reimagining how People Ops teams operate in the age of AI. We’re building a platform that unifies HR data and transforms how organizations make decisions, unlock insights, and run operations. Our mission is simple but ambitious: help HR teams move faster, smarter, and with more confidence. We’re on a mission to reach $10M ARR and you will be at the heart of that journey — building the AI-powered systems that will redefine how companies manage their people. This is a founding role: you’ll be hands-on, deeply technical, and instrumental in shaping the core of our platform from day one. This is a founding engineering role — you will be hands-on, deeply technical, and responsible for building, scaling, and leading our AI platform architecture from day one. What You’ll Own You will architect, build, and scale the core AI engine that powers Aragorn’s agentic People Ops platform. You will: Own the agentic AI core — reasoning, orchestration, and multi-agent workflows for HR analytics, document interpretation, and policy validation. Design and implement high-performance, distributed systems that integrate real-time HR data, analytics, and LLM-based reasoning. Build on AWS cloud infrastructure (EKS, SQS, S3, Bedrock, etc.) with a NestJS + Node.js backend. Lead AI system architecture — prompt orchestration, memory management, tool calling, and secure agent execution. Build and optimize data pipelines for Postgres (transactional layer) and ClickHouse (analytics layer) at scale. Instrument everything with Datadog for observability, performance monitoring, and error detection. Collaborate with Product & Design to create intuitive no-code/low-code experiences for HR teams to build their own agents. Define technical hiring standards, mentor early engineers, and set the bar for AI engineering best practices. Stay ahead of LLM and distributed systems advancements, applying them to real production workloads. You Might Be a Fit If You Have have deeper understanding of software engineering with and AI/ML or agentic system development. Have architected and scaled distributed systems on AWS (SQS, ECS/Fargate, Lambda, API Gateway, Bedrock). Are fluent in Node.js / TypeScript (NestJS) and have a strong foundation in software engineering principles. Have deep experience with PostgreSQL (transactional systems) and ClickHouse (analytics & reporting). Have deployed production-grade AI systems with LLM orchestration, context injection, and external tool integrations. Are obsessed with performance, observability, and resilience — you’ve used Datadog, OpenTelemetry, or similar to monitor live systems. Understand data privacy, role-based access, and security in multi-tenant SaaS environments. Have startup experience — you’ve taken a product from prototype to scale and want to do it again, this time as an owner. Love building foundational systems that last and mentoring engineers to reach that bar. You’re the first AI engineering leader — owning architecture, execution, and technical direction from day one. Massive impact — you’ll directly shape the core platform that will define the future of People Ops AI. Work directly with the founders — close feedback loops, high trust, and no corporate politics. Technical playground — AWS Bedrock, agentic orchestration, distributed systems, real-time analytics at scale. True ownership — equity, decision-making power, and the opportunity to build a category-defining platform. What Success Looks Like in the First 6 Months Production-ready multi-agent orchestration engine deployed on AWS Bedrock. Reliable, low-latency data pipelines between Postgres, ClickHouse, and the agentic AI core. Secure, role-aware execution of AI agents with real-time data access and governance. Fully instrumented observability stack (Datadog dashboards, alerts, distributed tracing). First 2-3 enterprise customers running custom AI agents built on the platform. A documented, scalable AI architecture that’s ready for the next 2-5 engineering hires.