Platform Engineer: Full-Stack & AI

Robotic Technologies Automation; San Diego (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Robotic Technologies Automation is seeking a hands-on Platform Engineer with strong full-stack development, AI engineering, and software-architecture skills to design, develop, deploy, and support scalable and secure applications in a modern enterprise environment.

You will own capabilities across the SDLC, build AI agents and retrieval workflows, and integrate with enterprise APIs to enable secure, reliable platform services. The role emphasizes production readiness and secure, scalable design.

Qualifications

• Hands-on software development with Java, Python, or C#/.NET.
• Experience building UIs with React, Angular, or TypeScript.
• Ownership of production apps from design through operations.
• API design, distributed systems, and data access patterns.
• Experience with AI/LLM-enabled apps and AI workflows.
• Containers, Kubernetes, CI/CD, and infra-as-code.
• Strong authentication and data protection practices.
• Ability to diagnose performance and reliability issues.

Responsibilities

• Design, develop, test, and operate APIs, backend services, and web apps.
• Build self-service portals and automation for platform capabilities.
• Develop integrations across services, databases, messaging, and APIs.
• Write secure, well-tested code and participate in reviews.
• Own SDLC responsibilities including CI/CD, deployment, rollback, and readiness.
• Build AI agents and retrieval workflows grounded in architecture docs and code.
• Integrate agents with enterprise APIs via controlled interfaces.
• Implement evaluation frameworks for accuracy, latency, and cost.
• Establish production controls for AI systems including auditability.

Skills

Java

Python

C#/.NET

React/Angular/TypeScript

Tools

Kubernetes

CI/CD

Job description

Robotic Technologies Automation is seeking a hands-on Platform Engineer with strong full-stack development, AI engineering, and software-architecture skills to design, develop, deploy, and support scalable and secure applications in a modern enterprise environment.

You will own capabilities across the SDLC, build AI agents and retrieval workflows, and integrate with enterprise APIs to enable secure, reliable platform services. The role emphasizes production readiness and secure, scalable design.