<p><strong>Agent Platform Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>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 developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>

<p><strong>Required Qualifications</strong></p><ul><li>Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent practical experience.</li><li>5+ years of experience building and operating production software platforms and distributed systems.</li><li>Strong Python development experience with expertise in backend services, APIs, databases, and event-driven architectures.</li><li>Experience building AI, search, retrieval, workflow automation, or intelligent application platforms.</li><li>Hands-on experience with workflow orchestration, long-running processes, failure recovery, and distributed execution models.</li><li>Experience with semantic retrieval and structured data access technologies such as SQL, graph databases, or analytical query platforms.</li><li>Experience training, fine-tuning, adapting, evaluating, or deploying modern AI models.</li><li>Experience deploying and optimizing applications across multiple computing environments, including cloud, edge, or on-premises infrastructure.</li><li>Strong analytical, problem-solving, and system design capabilities.</li><li>Excellent written and verbal communication skills.</li></ul><p><strong>Preferred Qualifications (Nice-to-Haves)</strong></p><ul><li>Experience with knowledge graphs, hybrid retrieval, entity-centric search, or data provenance systems.</li><li>Experience with workflow orchestration platforms and durable execution frameworks.</li><li>Familiarity with AI agent frameworks, tool orchestration, model routing, and retrieval-augmented architectures.</li><li>Experience implementing RBAC, ABAC, multi-tenant authorization, or permission-aware data access controls.</li><li>Experience supporting geospatial analytics, mapping systems, or spatial data platforms.</li><li>Experience deploying AI applications within regulated, highly secure, or disconnected environments.</li><li>Knowledge of model serving, inference optimization, GPU acceleration, caching, batching, and performance tuning.</li><li>Experience with TypeScript, React, or modern web application technologies.</li><li>Background in defense, public sector, public safety, intelligence, or other high-consequence operational environments.</li><li>Proven technical leadership experience mentoring engineers and defining platform standards.</li></ul><p><strong>Compensation &amp; Benefits</strong></p><ul><li>$200K-$300K + discretionary bonus</li><li>Performance-based bonus opportunities</li><li>Comprehensive medical, dental, and vision coverage</li><li>Retirement savings program</li><li>Generous paid time off and company holidays</li><li>Professional development and continuing education opportunities</li><li>Access to cutting-edge AI technologies and large-scale engineering initiatives</li></ul>

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