Qa Automation Engineer Jobs in Orange, CA

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Automation Integration Engineer

Moreno Valley, CA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for an expierenced Automation Integration Engineer to help strengthen and advance automated distribution operations in Riverside, California. This position combines hands-on engineering support with system integration work to keep warehouse technology, material handling equipment, and software platforms performing reliably in a high-volume retail environment. The role partners closely with operations, IT, engineering, and external vendors to resolve technical issues, improve throughput, and support new automation initiatives. Responsibilities:• Coordinate the connection and performance of warehouse software, automation controls, and material handling equipment to ensure smooth operation across distribution processes.• Convert operational needs into detailed technical documentation, including functional requirements, change requests, and integration specifications.• Build and manage testing strategies for system updates and automation enhancements, then verify results before release into production.• Investigate interface failures, process interruptions, and unexpected system behavior by tracing data flow and equipment interaction across connected platforms.• Provide daily engineering support for live automated operations, addressing equipment and system issues that affect flow, accuracy, or productivity.• Lead root cause analysis for operational disruptions and follow issues through corrective action until stable performance is restored.• Identify and implement improvements that increase throughput, strengthen reliability, and streamline warehouse processes.• Assist with implementation projects, commissioning efforts, and go-live activities by coordinating technical tasks across internal teams and third-party partners.• Maintain clear technical documentation such as standard operating procedures, workflow diagrams, interface records, and system support materials.• Use operational metrics and system data to evaluate performance, support troubleshooting efforts, and contribute to reporting on key distribution indicators.
2026-10-18T00:00:00Z

Software Engineer, AI

Los Angeles, CA
remote
Permanent / Full Time
160000 - 170000 USD / Yearly
Software Engineer, AI Company Overview A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies. Role Summary The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment. Key Responsibilities<ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
2026-10-09T00:00:00Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions. Responsibilities: • Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration. • Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior. • Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features. • Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences. • Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring. • Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance. • Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage. • Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements. • Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
2026-10-22T00:00:00Z

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. Responsibilities: • Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making. • Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions. • Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost. • Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way. • Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability. • Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns. • Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation. • Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions. • 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

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
2026-10-30T00:00:00Z

Agent Platform Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Software Engineer Company OverviewA 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. Role SummaryThe 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. Key Responsibilities<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>
2026-10-30T00:00:00Z

AI Data Center Infrastructure Architect

Irvine, CA
remote
Permanent / Full Time
20000 - 300000 USD / Yearly
We are looking for an experienced infrastructure architect to lead the design of large-scale environments that support AI model training, inference, and high-performance computing in Irvine, California. This role blends deep technical expertise with practical decision-making across compute, networking, storage, and data center infrastructure, ensuring solutions are scalable, resilient, and ready for production. The position works closely with engineering, operations, vendors, and facilities teams to turn workload demands and site constraints into well-defined, deployable architectures. Responsibilities: • Architect end-to-end data center solutions for AI and HPC environments, aligning compute, interconnect, storage, and management systems into a cohesive platform. • Convert workload profiles, growth forecasts, and site limitations into detailed infrastructure designs that support performance, reliability, and future expansion. • Assess rack-scale platforms and hardware configurations to determine the best fit for resiliency, operational efficiency, and long-term scalability. • Design network frameworks for compute, storage, user, and administrative traffic with careful attention to bandwidth, failover, and overall fabric performance. • Define storage strategies based on throughput, latency, capacity, and application behavior to meet demanding AI and HPC requirements. • Produce detailed equipment specifications and bills of materials covering hardware components, connectivity, software, support agreements, and spare inventory. • Review vendor and integrator proposals to confirm technical completeness, pricing accuracy, and alignment with architectural requirements. • Partner with manufacturers, OEMs, and integration providers during technical assessments and contribute expertise during commercial discussions. • Establish rack layouts, cabling plans, service access considerations, and facility requirements including power, cooling, weight, and floor space. • Create validation standards for benchmarking, reliability testing, and operational acceptance before systems are released into production.
2026-10-18T00:00:00Z

Sr Cybersecurity Engineer

Long Beach, CA
onsite
Temporary / Contract
75 - 85 USD / Hourly
Our client is seeking a Senior Cybersecurity Engineer to lead security engineering, architecture, and operational security initiatives across enterprise systems, cloud platforms, and critical infrastructure environments. This role combines hands-on technical expertise with strategic security leadership. What You'll Be Doing<ul><li>Assess and improve the organization's overall cybersecurity posture</li><li>Lead vulnerability management, remediation efforts, and security risk assessments</li><li>Design and implement enterprise security architectures and controls</li><li>Manage and optimize security technologies including SIEM, SOAR, XDR, EDR, IAM, and DLP</li><li>Drive incident response, threat hunting, and security monitoring activities</li><li>Develop and maintain cybersecurity policies, standards, and governance frameworks</li><li>Secure cloud, network, server, endpoint, and hybrid environments</li><li>Partner with infrastructure, engineering, and business teams to embed security into projects</li><li>Conduct security reviews, penetration test coordination, and compliance assessments</li><li>Lead security modernization and remediation initiatives</li><li>Provide guidance to leadership on emerging threats and risk mitigation strategies</li><li>Mentor security engineers and serve as a cybersecurity subject matter expert</li></ul>
2026-10-24T00:00:00Z

8 results for Qa Automation Engineer in Orange, CA