AI Agent Developer

November 24

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Protera

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Cloud Services • Enterprise • SaaS

Protera is a globally certified SAP, Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP) cloud migration and enterprise managed service provider. The company excels in modernizing, optimizing, and securing enterprise workloads in the cloud, offering a suite of services that include cloud modernization, managed cloud security, disaster recovery, data intelligence, and SAP migration. Protera has been a pioneer in enterprise cloud services since 1998, known for its deep technical expertise in SAP systems and ability to drive down costs while enhancing performance and security for its clients.

201 - 500 employees

Founded 2000

🏢 Enterprise

☁️ SaaS

💰 $10M Series A on 2021-07

📋 Description

• **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 • - Architect scalable and fault-tolerant agent infrastructures that can handle real-time workloads. • - Write high-performance, maintainable code in Go, Python, or TypeScript to support agent pipelines, integrations, and orchestration layers. • - Ensure that AI systems follow best practices for observability, testing, and performance tuning. • Integration & Platform Collaboration • - Collaborate with backend and infrastructure teams to align AI systems with our broader architecture and security standards. • - Contribute to SDKs, internal libraries, and service APIs that make agent functionality reusable across teams. • - Integrate with external data and developer platforms, such as AWS/Azure/GCP, Elasticsearch, ServiceNow, and other APIs to enable agent reasoning and context retrieval. • Research & Continuous Improvement • - Stay current on emerging agentic frameworks, retrieval-augmented generation (RAG), and multi-agent orchestration techniques. • - Prototype and evaluate new tools and approaches for improving agent performance, contextual awareness, and adaptability. • - Champion best practices for safe and explainable AI usage within engineering workflows.

🎯 Requirements

• **Qualifications** • - 8+ years of professional software engineering experience, with a strong foundation in backend or systems programming. • - Expertise in one or more of the following languages: Go (Golang), Python, TypeScript. • - Experience building distributed systems, APIs, or microservices at scale. • - Strong understanding of AI/ML fundamentals (LLMs, vector embeddings, RAG pipelines, etc.) — applied experience preferred. • - Familiarity with Elasticsearch, GitHub, or similar data and development platforms. • - Solid understanding of system design, performance optimization, and security principles. • - User experience background — Not just building product but understanding how it will be used. • - Excellent communication and cross-functional collaboration skills.