Platform Engineer: AI-Driven Infra & Developer Platforms

Robotics Technologies LLC; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Robotics Technologies LLC seeks engineers to design and build production-grade APIs, backend services, and developer-facing platforms. You will own capabilities across the SDLC, deploy responsibly, and optimize performance while integrating AI-driven workflows and retrieval-augmented generation for architecture validation.

You will collaborate on architecture analysis, knowledge discovery, evidence collection, and remediation planning, ensuring secure, scalable systems across enterprise tools

Qualifications

• Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer-facing platforms.

Responsibilities

• Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness.
• Build AI agents and AI-assisted workflows for architecture analysis, knowledge discovery, evidence collection, standards validation, and remediation planning.
• Develop retrieval-augmented generation solutions that ground responses in architecture documents, code, configuration, and platform knowledge.
• Integrate agents with enterprise APIs and tools through controlled interfaces.
• Implement evaluation frameworks for accuracy, groundedness, safety, and latency.
• Engineer production controls for AI systems, including access restrictions and safe fallback behavior.
• Automate architecture-review feedback and remediation tracking within developer workflows.

Skills

API design

Backend development

AI engineering

SDLC ownership

Performance optimization

Tools

CI/CD

Job description

Robotics Technologies LLC seeks engineers to design and build production-grade APIs, backend services, and developer-facing platforms. You will own capabilities across the SDLC, deploy responsibly, and optimize performance while integrating AI-driven workflows and retrieval-augmented generation for architecture validation.

You will collaborate on architecture analysis, knowledge discovery, evidence collection, and remediation planning, ensuring secure, scalable systems across enterprise tools