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3 results for Erp Engineer in San Jose, CA
- San Ramon, CA
- remote
- Permanent / Full Time
- 85000 - 124000 USD / Yearly
- <p>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. </p><p> </p><p>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. </p><p><strong>What You’ll Do</strong> </p><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><p><br></p>
- 2026-09-28T00:00:00Z
- San Francisco, CA
- remote
- Temporary / Contract
- 60 - 65 USD / Hourly
- We are looking for a Contract Data Engineer to strengthen analytics and reporting capabilities for a business operating across multiple data platforms. This role is based in San Francisco, California, and is ideal for someone who can evaluate an existing data ecosystem, advise on practical improvements, and deliver hands-on solutions. The right candidate will connect information from several systems, shape scalable data structures, and partner closely with business stakeholders to turn reporting needs into reliable insights.<br><br>Responsibilities:<br>• Evaluate the current data architecture and identify opportunities to improve scalability, usability, and reporting effectiveness.<br>• Design and build data pipelines that combine information from multiple platforms into a cohesive and dependable reporting environment.<br>• Develop and enhance Power BI dashboards and reporting solutions that provide stronger visibility into business performance.<br>• Organize and model data within lake and warehouse environments to support accurate analytics and long-term maintainability.<br>• Work directly with business partners to gather requirements, translate goals into technical solutions, and deliver actionable insights.<br>• Lead hands-on implementation work across the data stack while also recommending the most effective path for future-state architecture.<br>• Support ongoing expansion of data lake and reporting capabilities to improve access to trusted, well-structured information.
- 2026-10-19T00:00:00Z
- San Ramon, CA
- remote
- Permanent / Full Time
- 85000 - 124000 USD / Yearly
- <p>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. </p><p> </p><p>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. </p><p><strong>What You’ll Do</strong> </p><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