5 Results for Qa Automation Engineer Jobs in Orange, CA

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AI Software Developer

El Segundo, California
remote
Permanent / Full Time
110000 - 145000 USD / Yearly
We are seeking an AI Software Developer to help drive the next generation of AI-enabled business operations. This role is ideal for a developer or early-career AI engineer who enjoys solving real business problems, building practical solutions, and working directly with end users to improve how work gets done.This role serves as the hands-on implementation partner for AI initiatives across the organization. You'll work closely with business teams to understand their workflows, identify inefficiencies, design AI-enhanced processes, and build solutions ranging from prompt libraries and automations to lightweight applications and integrations. This is a highly visible role that combines software development, workflow engineering, AI enablement, and business process optimization. This position is fully remote within the United States with occasional travel for team meetings and planning sessions. As an AI Software Developer, you will embed with business teams to understand how work actually happens and identify opportunities where AI can create meaningful improvements. You'll help transform manual, repetitive, and high-friction processes into efficient AI-enabled workflows while maintaining appropriate human review and oversight. This is not a traditional software development role focused solely on feature delivery. Success requires technical expertise, curiosity, strong communication skills, and the ability to translate business challenges into scalable AI-powered solutions. You will partner with employees across operations, customer-facing teams, and technology functions to build solutions that deliver measurable productivity gains and operational improvements. For immediate consideration, apply now and direct message Reid Gormly on LinkedIN
2026-09-14T00:00:00Z

Machine Learning Engineer

Los Angeles, California
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-09-02T00:00:00Z

Machine Learning Engineer

Los Angeles, California
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. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. 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>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</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>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Agent Platform Engineer

Los Angeles, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Software Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Software 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. 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. 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. 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>Additional Details<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>
2026-09-24T00:00:00Z

M365 Systems Engineer

Los Angeles, California
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
Microsoft 365 Systems Engineer Company OverviewA well-established organization in the professional services sector is seeking a Microsoft 365 Systems Engineer to join its internal technology team in Los Angeles, California. The company supports a dynamic, multi-office environment and is committed to leveraging modern technology, cybersecurity best practices, and cloud-based solutions to drive operational excellence. This role offers the opportunity to make a meaningful impact by enhancing collaboration, security, and productivity across the organization. Role SummaryThe Microsoft 365 Systems Engineer will be responsible for administering, securing, and continuously improving the organization's Microsoft 365 ecosystem while supporting broader infrastructure and endpoint technologies. This hands-on position is ideal for a security-focused systems professional who enjoys solving complex technical challenges, delivering automation solutions, supporting end users, and leading technology initiatives. Based in the Los Angeles, California area, this role combines operational support, systems engineering, security governance, and project execution. Key Responsibilities<ul><li>Administer, maintain, and optimize Microsoft 365 services including Entra ID, Exchange Online, SharePoint, OneDrive, Teams, Intune, Defender, Purview, and related cloud technologies</li><li>Manage user identities, access controls, group policies, role-based permissions, multifactor authentication, and conditional access configurations</li><li>Support governance and administration of AI-enabled workplace technologies while ensuring appropriate security and data protection controls</li><li>Oversee endpoint management activities, including device enrollment, application deployment, compliance policies, security baselines, and lifecycle management</li><li>Implement, monitor, and enhance cybersecurity controls across cloud and endpoint environments</li><li>Maintain data protection, retention, auditing, information governance, and compliance-related configurations</li><li>Support patch management, vulnerability remediation, endpoint hardening, and secure configuration standards</li><li>Troubleshoot and administer Windows, macOS, iOS, Android, networking components, and business-critical SaaS platforms</li><li>Develop and maintain PowerShell scripts and automation workflows to improve operational efficiency and reduce manual effort</li><li>Create technical documentation, support procedures, knowledge base content, and end-user training materials</li></ul>Compensation & Benefits<ul><li>$100,000-$120,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>Retirement savings plan with employer matching contributions</li><li>Professional development and certification support opportunities</li></ul>Additional Details<ul><li>Onsite with remote flexibility on an ad-hoc need basis</li><li>Participation in after-hours maintenance, upgrades, and incident response activities may be required</li><li>Up to 20% regional travel may be required</li><li>Opportunity to contribute ideas, influence technology strategy, and help shape future platform decisions in collaborative environment</li></ul>
2026-09-30T00:00:00Z

5 results for Qa Automation Engineer in Orange, CA