The Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on production-ready AI applications, agent frameworks, workflow orchestration, retrieval pipelines, and model-serving infrastructure. You'll work with cross-functional teams to deliver scalable solutions and contribute to technical architecture.
Responsibilities
Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.
Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.
Build backend services, APIs, and platform capabilities supporting AI-driven applications.
Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.
Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.
Optimize retrieval, inference, and execution performance across diverse deployment environments.
Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.
Implement model routing, inference optimization, caching, and fallback strategies.
Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.
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