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29 results for Systems Engineer in Gardena, CA

Artificial Intelligence (AI) Engineer
  • Irvine, CA
  • onsite
  • Permanent / Full Time
  • 150000 - 160000 USD / Yearly
  • We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making.<br>• Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions.<br>• Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost.<br>• Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way.<br>• Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability.<br>• Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns.<br>• Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation.<br>• Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions.<br>• Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
  • 2026-10-22T00:00:00Z
Agent Platform Engineer
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 200000 - 300000 USD / Yearly
  • <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>
  • 2026-11-04T00:00:00Z
Applications Architect
  • Torrance, CA
  • onsite
  • Temporary / Contract
  • 68 - 71 USD / Hourly
  • <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>
  • 2026-11-12T00:00:00Z
Data Governance Engineer
  • Glendale, CA
  • onsite
  • Temporary / Contract
  • 72 - 78 USD / Hourly
  • <p>We are looking for a Data Governance Engineer to support the implementation, administration, and continuous improvement of enterprise data governance capabilities across a modern cloud data platform. This role will work closely with data platform, security, and product teams to translate governance requirements into scalable technical solutions that improve data security, accessibility, quality, and compliance.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>·        Administer and configure Snowflake security and governance capabilities, including RBAC, dynamic masking, and object tagging.</p><p>·        Implement, maintain, and troubleshoot access governance controls within Immuta and other governance platforms.</p><p>·        Configure and monitor data quality checks, alerting mechanisms, and governance-related operational processes.</p><p>·        Maintain, enrich, and optimize enterprise data catalog content to improve discoverability, classification, and metadata quality.</p><p>·        Support the adoption and enhancement of AI-assisted data documentation and description generation tools.</p><p>·        Partner with engineering teams to test, validate, and deploy ingest-time data tagging and metadata management solutions.</p><p>·        Collaborate with program and product stakeholders to translate governance policies, security requirements, and compliance standards into technical implementations.</p><p>·        Support governance operations, incident resolution, root cause analysis, and continuous process improvement initiatives.</p><p>·        Participate in evaluations, testing, and implementation of new governance, catalog, quality, and security technologies.</p>
  • 2026-10-29T00:00:00Z
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