Java Full Stack Developer

Robotic Process Automation LLC; Denver (CO); On-site; USD 120,000 - 180,000; Full time

Job summary

Robotic Technologies Automation in Denver seeks a hands-on Platform Engineer with strong Full Stack, AI Engineering and Software Architecture skills. Design, develop, deploy, and support scalable, secure applications and developer platforms.

Responsibilities include building APIs and portals, AI agents, and retrieval-augmented workflows; owning SDLC aspects, and ensuring production readiness with secure coding practices. Join a growing team focused on intelligent automation.

Qualifications

• Hands-on software development with Java, Python, C#/.NET or related backend tech.
• UI development with React, Angular or TypeScript in modern frameworks.
• Owns production apps or platform services from design to support.
• Designs APIs, distributed systems, async integrations, data access (SQL/NoSQL).
• Experience with LLM-enabled apps, AI agents, retrieval workflows, automation.
• Containers, Kubernetes, CI/CD, infrastructure as code experience.
• Strong security focus: authentication, authorization, secrets, data protection.
• Diagnose performance/reliability issues across apps, DB, networks, deps.
• Collaborates effectively; communicates decisions to diverse stakeholders.

Responsibilities

• Design, develop, test, and operate production-grade APIs, backend services, web apps, and developer platforms.
• Build self-service portals, platform catalogs, reusable components, and automation.
• Develop integrations across services, databases, messaging, API gateways, tools.
• Write secure, maintainable, well-tested code; participate in reviews and troubleshooting.
• Own capabilities through the SDLC: CI/CD, deployment, rollback, docs, readiness.
• Build AI agents and AI-assisted workflows for architecture analysis and remediation.
• Develop retrieval-augmented generation solutions grounded in architecture docs.
• Integrate agents with enterprise APIs/tools via controlled interfaces (MCP where relevant).
• Implement evaluation frameworks for accuracy, grounded ness, safety, latency, cost.
• Engineer production controls for AI systems: access, bounded execution, auditability.
• Automate architecture-review feedback and remediation tracking in developer flows.

Skills

Java / Python / C# / .NET

Frontend frameworks

Prod ownership

API design

LLM / AI experience

Containers / Kubernetes / CI/CD

Security / secrets mgmt

Performance troubleshooting

Collaboration / communication

Job description

We are seeking a hands-on Platform Engineer with strong Full Stack Development, AI Engineering, and Software Architecture skills to design, develop, deploy, and support scalable, secure, and reliable applications.

Key Responsibilities:

• 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.

Required Qualifications:

• Strong hands-on software development experience using Java, Python, C#/.NET, or comparable backend technologies.
• Experience developing user interfaces with React, Angular, TypeScript, or an equivalent modern framework.
• Demonstrated ownership of production applications or platform services, from design through operational support.
• Experience designing APIs, distributed systems, asynchronous integrations, and relational or NoSQL data access.
• Practical experience developing LLM-enabled applications, AI agents, retrieval workflows, or AI-powered automation.
• Experience with containers, Kubernetes or equivalent platforms, CI/CD, and infrastructure/configuration as code.
• Strong understanding of authentication, authorization, secrets management, secure coding, and data protection.
• Ability to diagnose application, database, network, and dependency-related performance or reliability issues.
• Strong collaboration skills and the ability to explain technical decisions and trade-offs to diverse stakeholders.

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.