7 Results for Qa Automation Engineer Jobs in San Francisco, CA

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Machine Learning Engineer

Menlo Park, 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. 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

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Agent Platform Engineer Company OverviewA 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. Role SummaryThe 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. 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

AI Engineer (AI Data Privacy, Security & Governance)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. What You’ll Do <ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
2026-09-28T00:00:00Z

Agentic AI Orchestration Architect

Corte Madera, CA
onsite
Temporary / Contract
85 - 95 USD / Hourly
We are looking for an Agentic AI Orchestration Architect to join a Contract engagement supporting a retail visual production team in Corte Madera, California. In this role, you will assess how work moves across creative operations, connect existing AI-driven tools into a cohesive orchestration framework, and deliver practical improvements that can be adopted quickly. This position is ideal for a consultant who can combine technical architecture, workflow design, and stakeholder collaboration to build a scalable foundation for agentic AI in production environments. Responsibilities:• Lead onsite discovery sessions with a visual production team to analyze current processes, decision points, dependencies, and operational slowdowns.• Design an orchestration approach that connects existing AI agents, automations, and platform-specific workflows into a unified operating model without replacing effective solutions unnecessarily.• Deliver early-stage process enhancements that improve day-to-day production efficiency while defining a broader roadmap for long-term agentic AI adoption.• Create a standardized work-order and state-management framework that tracks identifiers, assets, revisions, routing logic, ownership, approvals, and auditability across the workflow.• Build rules-based routing and human review checkpoints, including support for manual status updates tied to production milestones such as studio shoots and print approvals.• Develop notification and monitoring mechanisms that provide clear visibility into task readiness, delays, exceptions, and blocked work across the end-to-end process.• Integrate tools such as Figma, Google Workspace, Box, and shared file environments using APIs, webhooks, and related connectivity patterns.• Implement safeguards that carry upstream changes through dependent downstream activities in a controlled and reliable manner.• Produce system documentation, train users on the operating model, and hand over a practical runbook with a prioritized backlog for future enhancements.
2026-10-02T00:00:00Z

Software Engineer II AI Engineer (w/ skills in Deployment)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. What You’ll Do <ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul>
2026-09-28T00:00:00Z

Salesforce Technical Architect (Software Engineer IV)

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
We are looking for a Salesforce Technical Architect (Software Engineer IV) to lead the technical strategy, architecture, and delivery of a large-scale Salesforce environment. This role combines hands-on engineering with architectural ownership, guiding decisions across Salesforce and Azure while supporting secure, scalable, and high-performing solutions. The position also plays a key role in advancing data-driven marketing capabilities, AI-enabled workflows, and engineering practices that improve quality, automation, and deployment speed. Responsibilities:• Define the technical roadmap for the Salesforce ecosystem and determine the most effective approach for building capabilities within the platform or extending them through Azure-based services.• Design and oversee integrations connecting Salesforce with internal and external systems, using resilient near real-time and event-driven patterns to maintain reliable data flow.• Lead the rollout of Salesforce Data 360 and enhance supporting data pipelines that enable segmentation, analytics, and AI-powered business processes.• Establish architecture standards, review solution designs and code, and ensure engineering output meets expectations for security, scalability, and long-term maintainability.• Strengthen the software delivery lifecycle by introducing automated checks for code quality, testing, and security validation across development and release processes.• Advance CI/CD practices by improving Python-based deployment pipelines and enabling frequent, dependable releases with minimal manual effort.• Mentor a distributed team of engineers by providing technical direction, coaching on platform design patterns, and promoting consistent engineering excellence.• Build and guide development of complex Salesforce applications using Apex, Lightning Web Components, and declarative tools, while also supporting services and APIs built with Node.js and Python.• Define integration standards, API contracts, and automation frameworks that support dependable interoperability across enterprise platforms and cloud environments.
2026-09-29T00:00:00Z

Software Engineer

Martinez, CA
onsite
Temporary / Contract
65 - 75 USD / Hourly
We are looking for an experienced Software Engineer to support the design, development, and ongoing enhancement of business applications in Martinez, California. This Long-term Contract Software Engineerposition is ideal for someone who can manage the full development lifecycle, collaborate with stakeholders, and deliver reliable web-based and integrated software solutions. The Software Engineerrole includes hands-on programming, technical analysis, testing, deployment, and post-release support across a range of platforms and technologies. Responsibilities:• Design, build, and maintain web applications, desktop-style client applications, APIs, reports, and data exchange solutions that support business operations.• Partner with stakeholders to define needs, translate functional goals into technical plans, and provide effort estimates and delivery timelines.• Oversee assigned development work from planning through release, including task tracking, technical documentation, testing coordination, and deployment activities.• Develop and support software using technologies such as C#, VB.NET, ASP.NET, JavaScript, HTML, CSS, and related web development frameworks.• Create and maintain system integrations between third-party SaaS platforms and custom or vendor-supported applications.• Produce data extracts and reporting solutions, including work related to SQL Server Reporting Services and other reporting tools.• Participate in code reviews, validate application quality through testing, and resolve issues identified during development and production support.• Contribute to specialized platform development efforts such as ServiceNow applications, modules, implementations, and workflow enhancements.• Support advanced solution delivery in areas such as API development, provider directory-related integrations, and the use of AI within applications and business processes.
2026-09-15T00:00:00Z

7 results for Qa Automation Engineer in San Francisco, CA