Platform Engineer

Robotic Process Automation LLC; Chicago (IL); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Robotic Technologies Automation in Chicago, IL, invites a skilled software engineer to design, build, and operate production-grade APIs, backend services, and developer-facing platforms. You will create self-service portals and automation to accelerate platform adoption.

You will integrate across services, write secure, tested code, and own the SDLC processes including CI/CD and deployment. You will contribute to AI-enabled workflows and retrieval-augmented solutions grounded in enterprise

Formación

• Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer-facing platforms.
• Build self-service portals, platform catalogs, reusable components, and automation to simplify adoption of approved platform capabilities.
• Develop integrations across application services, databases, messaging platforms, API gateways, and enterprise engineering tools.
• Write maintainable, secure, well-tested code and participate in code reviews, design discussions, troubleshooting, and performance optimization.
• Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness. AI Engineering and Intelligent Automation
• Build AI agents and AI-assisted workflows for architecture analysis, engineering knowledge discovery, evidence collection, standards validation, and remediation planning.
• Develop retrieval-augmented generation solutions that ground responses in authorized architecture documents, code, configuration, and platform knowledge.
• Integrate agents with enterprise APIs and tools through controlled interfaces, including Model Context Protocol (MCP) where appropriate.
• Implement evaluation frameworks for accuracy, grounded ness, safety, consistency, latency, and cost.
• Engineer production controls for AI systems, including access restrictions, bounded execution, auditability, human approval, and safe fallback behavior.
• Automate architecture-review feedback and remediation tracking within developer workflows.

Responsabilidades

• Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness.
• AI Engineering and Intelligent Automation responsibilities, including building AI agents and AI-assisted workflows for architecture analysis and remediation planning.
• Develop retrieval-augmented generation solutions grounded in architecture documents, code, and platform knowledge.
• Integrate agents with enterprise APIs and tools via controlled interfaces and MCP where appropriate.

Conocimientos

APIs

Backend development

CI/CD

AI engineering

Code reviews

Security

Descripción del empleo

• Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer-facing platforms . Build self-service portals, infrastructure platform catalogs, reusable components, and automation that simplify adoption of approved platform capabilities.
• Develop integrations across application services, databases, messaging platforms , API gateways, and enterprise engineering tools.
• Write maintainable, secure, well-tested code and participate in code reviews, design discussions, troubleshooting, and performance optimization.
• Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness. AI Engineering and Intelligent Automation
• Build AI agents and AI-assisted workflows for architecture analysis, engineering knowledge discovery, evidence collection, standards validation, and remediation planning.
• Develop retrieval-augmented generation solutions that ground responses in authorized architecture documents, code, configuration, and platform knowledge.
• Integrate agents with enterprise APIs and tools through controlled interfaces, including Model Context Protocol (MCP) where appropriate.
• Implement evaluation frameworks for accuracy, grounded ness, safety, consistency, latency, and cost.
• Engineer production controls for AI systems, including access restrictions, bounded execution, auditability, human approval, and safe fallback behavior.
• Automate architecture-review feedback and remediation tracking within developer workflows.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.