<p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization is seeking a Software Engineer to help develop next-generation AI platforms. 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 Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. 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>Location:</strong> Burbank, CA (Hybrid - 4 Days Onsite)</p><p><strong>Employment Type:</strong> Contract, potential FTE conversion</p><p><strong>Experience:</strong> 8+ Years</p><p><strong>Education:</strong> Bachelor's Degree Required</p><p><br></p><p>About the Opportunity</p><p>We are seeking a <strong>Staff Lead Software Engineer</strong> to help build the next generation of intelligent infrastructure supporting a modern Digital Supply Chain environment. This role is ideal for an experienced engineer who thrives at the intersection of backend engineering, distributed systems, workflow automation, and Generative AI.</p><p>You will play a critical role in designing and delivering agentic platforms that power complex business workflows including content mastering, localization, delivery, and media operations. Working closely with product, platform, and AI teams, you will transform emerging AI capabilities into scalable, production-ready solutions that create measurable business impact.</p><p>This is a hands-on leadership position where you will influence architecture, mentor engineers, and contribute directly to software development.</p><p><br></p><p>What You'll Do</p><p>Build Production-Grade AI Platforms</p><ul><li>Transform AI prototypes into scalable, enterprise-ready services.</li><li>Design and develop backend microservices using Java, Kotlin, Python, or TypeScript.</li><li>Deploy and manage services within Kubernetes environments using modern CI/CD practices.</li><li>Build resilient, event-driven architectures leveraging Kafka, SNS/SQS, EventBridge, or similar technologies.</li><li>Develop highly reliable APIs focused on performance, observability, and maintainability.</li></ul><p>Design Agentic Systems & AI Middleware</p><ul><li>Build middleware, API gateways, and service layers that securely expose enterprise applications and data to AI agents.</li><li>Create standardized interfaces enabling AI agents to interact with internal systems across the digital supply chain.</li><li>Implement Model Context Protocol (MCP) and related frameworks to manage secure access to tools, metadata, and content repositories.</li><li>Design intelligent orchestration layers that enable autonomous and semi-autonomous workflows.</li></ul><p>Lead AI Workflow Innovation</p><ul><li>Develop agentic workflows using technologies such as LangGraph, LangChain, and modern orchestration frameworks.</li><li>Implement routing, tool execution, context management, and decision-making capabilities for AI-powered solutions.</li><li>Establish governance controls, audit logging, approval workflows, and fallback mechanisms to support enterprise-grade AI implementations.</li><li>Integrate AI orchestration into business-critical workflows, including mastering, localization, and content delivery operations.</li></ul><p>Provide Technical Leadership</p><ul><li>Lead architecture discussions, technical planning sessions, and design reviews.</li><li>Partner with product managers, machine learning engineers, architects, and platform teams to deliver innovative solutions.</li><li>Mentor engineers and contribute to engineering excellence across the organization.</li><li>Evaluate and adopt emerging technologies in AI, distributed systems, cloud infrastructure, and software engineering.</li></ul>
<p>We are looking for an experienced Applications Architect to support enterprise technology initiatives within the automotive industry in Southern California. This is a Long-term Contract position requiring an onsite presence four days per week, where you will partner with business and IT leaders to shape scalable cloud and data architecture solutions. The role focuses on aligning technical design with strategic goals, strengthening security and governance practices, and guiding delivery teams toward high-quality, reusable solutions.</p><p><br></p><p>Responsibilities:</p><p>• Partner with business and technology stakeholders to create architecture approaches that support enterprise objectives and encourage reuse across cloud-based solutions.</p><p>• Define architectural direction by contributing to technology standards, capability roadmaps, and solution design practices in collaboration with IT leadership.</p><p>• Lead technical solution design for application, compute, storage, integration, and platform needs, ensuring compatibility across environments and external services.</p><p>• Work closely with analysts, project managers, engineers, and developers to translate project needs into practical architecture recommendations and implementation plans.</p><p>• Support architecture governance by preparing materials for review processes and guiding stakeholders through approval decisions.</p><p>• Develop diagrams, workflows, and technical models using tools such as Visio and Draw.io to clearly communicate solution designs.</p><p>• Design secure data architectures for databases, warehouses, lakes, and APIs, with attention to confidentiality, access controls, privacy requirements, and enterprise security principles.</p><p>• Evaluate products, platforms, and vendor offerings, recommend suitable technologies, and identify risks related to architecture, delivery, or implementation.</p><p>• Improve data platform effectiveness by optimizing schemas, storage approaches, pipeline performance, orchestration, and data quality standards while reinforcing governance expectations.</p><p>• Ensure initiatives follow established delivery methodologies and quality expectations, while contributing reusable patterns, frameworks, and components for application teams.</p>