AI Agent Developer

About Protera

Welcome to Protera Technologies, where we’re reimagining how SAP-centric organizations work in the cloud. Since 1998, we’ve been pioneers in bringing SAP and related applications to the cloud—think Microsoft Azure and AWS. Our global crew, spanning the US with offices in Chicago (HQ), Athens, Greece, and Mumbai, India, is on a mission to make IT smoother, faster, and more fun for our clients.

But here’s the thing : we’re not your typical “serious tech company.” While we’re obsessed with delivering top-notch IT solutions, we’re all about keeping it real, approachable, and enjoyable. We work hard, but we also play hard—whether we’re collaborating on cloud optimizations, enhancing security, or just hanging out as a team.

At Protera, we believe in empowering SAP-centric organizations with the best tools and tech to drive growth, and we love what we do. Our values? Simple : stay curious, stay authentic, and make meaningful connections. We celebrate wins big and small, whether it's a successful project or a fun team event.

If you’re looking for a place where tech and fun collide, come join us and see what makes Protera a great place to work.

The AI Agent Developer will design, build, and evolve intelligent agent services that power the next generation of our delivery platform. This role blends deep engineering expertise with applied AI development; focused on building autonomous, reliable, and efficient AI-driven processes that integrate seamlessly into our platform.

The ideal candidate is an experienced software engineer who thrives at the intersection of AI, micro service driven platforms, and distributed architectures, with hands-on experience in languages such as Go (Golang), Python, or TypeScript. This role will collaborate closely with engineering, product, and delivery teams to architect, implement, and optimize AI agents that drive real-world efficiency for client operational teams.

Responsibilities

AI Agent Development

• Design, build, and deploy AI agents that integrate with our processes and operational systems.
• Implement agent logic, reasoning, and orchestration using frameworks and APIs that enable dynamic decision-making and contextual awareness.
• Develop robust interfaces between agents and core systems (e.g., Monitoring Systems, Public Cloud, Elasticsearch, internal APIs).

Systems Architecture & Engineering

Integration & Platform Collaboration

Research & Continuous Improvement

Requirements

Qualifications