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# Software Engineer

- **Company:** Raydar, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $100,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Next.js, Software Engineering, TypeScript, Workflow Management Systems, Google Cloud, Enterprise Software Applications, Google Vertex AI, Generative AI, Backend, Agentic-AI, Kubernetes, Information Technology
- **Published:** October 13, 2026
- **Apply:** https://www.juju.com/job/16_758ed2432

## About the Role

What we are looking for

 * Three to five years of backend software engineering experience

 * Production experience building AI agents or LLM-based systems used by real customers

 * At least two years in an early-stage startup or another high-ambiguity, high-ownership environment

 * Strong TypeScript skills and practical familiarity with agent frameworks

 * Experience with Kubernetes, cloud infrastructure, containers, and production scaling

 * Experience deploying into BYOC, single-tenant, or on-premise environments

 * Knowledge of durable execution or workflow orchestration

 * A computer science or other technical degree

 * High energy, ambition, autonomy, and concise communication

Nice to have

 * Experience with Temporal, AWS Bedrock, Google Vertex AI, Mastra, or the Vercel AI SDK

 * Familiarity with both AWS and Google Cloud Platform

 * Direct experience improving agent reliability in production

 * Experience shipping enterprise software into Fortune 500 environments

## Description

We are hiring a Software Engineer to build the core platform used to create, monitor, optimize, and deploy autonomous agents. This is a high-ownership role spanning backend engineering, product thinking, enterprise deployment, and hands-on client implementations. You will work onsite in San Francisco's Financial District five to six days per week.

What you will do

 * Build and own core components of the platform that runs client AI agents

 * Develop production agent implementations and manage deployment and operation

 * Design product-level features while implementing robust backend systems

 * Package, version, and deploy software into single-tenant and customer-controlled cloud environments

 * Make durable architecture decisions across workflow orchestration, infrastructure, and agent reliability

 * Identify important problems independently and drive them through production