<p>We are looking for a<strong> Project Enginee</strong>r to join a commercial construction team in Mountain View, California. This entry-level opportunity is ideal for someone who wants to build a long-term career in project management while gaining practical exposure to active interior construction projects. In this role, you will work closely with project leaders and field teams to keep documentation organized, support coordination efforts, and help projects move forward efficiently and safely.</p><p><br></p><p>Responsibilities:</p><p>• Assist with maintaining project records, tracking milestones, and keeping documentation current throughout the project lifecycle.</p><p>• Review and help process drawings, submittals, requests for information, and change-related documents for accuracy and timely follow-up.</p><p>• Support schedule preparation, procurement tracking, and log management to help project teams stay organized and on target.</p><p>• Attend project meetings, record key discussion points, and follow up on assigned action items with internal teams and external partners.</p><p>• Communicate professionally with subcontractors, suppliers, and project stakeholders to support day-to-day coordination.</p><p>• Contribute to site safety efforts by reinforcing established standards and helping monitor compliance on project sites.</p><p>• Organize project files and provide administrative support for RFIs, submittals, purchase orders, and related documentation.</p><p>• Assist with project closeout activities, including punch list coordination and the collection of final project records.</p><p>• Learn construction methods, permit processes, building systems, and trade coordination by working alongside experienced project managers and superintendents.<strong></strong></p>
We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios.<br><br>Responsibilities:<br>• Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision.<br>• Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training.<br>• Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios.<br>• Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning.<br>• Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality.<br>• Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems.<br>• Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization.<br>• Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections.<br>• Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale.<br>• Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
We are looking for a Systems Engineer to support and enhance core enterprise infrastructure in Fremont, California. This Contract position will focus on maintaining secure, reliable, and efficient environments across directory services, server platforms, messaging systems, and virtualized technologies. The ideal candidate brings strong technical depth in Microsoft-based infrastructure and a proactive approach to troubleshooting, administration, and continuous improvement.<br><br>Responsibilities:<br>• Administer and optimize Active Directory environments, including user access, group policies, and directory health.<br>• Manage Microsoft Windows Server systems to ensure stability, performance, and ongoing operational readiness.<br>• Support Azure Active Directory administration, including identity management and access control configuration.<br>• Maintain and troubleshoot Citrix technologies to provide dependable application and desktop delivery services.<br>• Oversee Microsoft Exchange administration, including mailbox management, system performance, and issue resolution.<br>• Monitor infrastructure services and respond to incidents with timely diagnosis and corrective action.<br>• Implement system updates, patches, and configuration changes while minimizing service disruption.<br>• Document technical procedures, environment changes, and support activities to maintain operational visibility.
We are looking for a Systems Engineer to support and enhance core enterprise infrastructure in San Jose, California. This Long-term Contract position is ideal for someone with strong experience administering Windows-based environments, identity platforms, and messaging systems. The role focuses on maintaining reliable system performance, strengthening access management, and helping teams resolve complex infrastructure issues across the organization.<br><br>Responsibilities:<br>• Administer and optimize Active Directory services to support secure user access, group policies, and directory health.<br>• Maintain Microsoft Windows Server environments, including configuration, patching, performance monitoring, and issue resolution.<br>• Support Azure Active Directory operations such as identity synchronization, access controls, and authentication management.<br>• Manage Microsoft Exchange administration tasks to help ensure stable mail flow, mailbox availability, and system reliability.<br>• Investigate infrastructure incidents and implement corrective actions to minimize downtime and recurring technical problems.<br>• Collaborate with internal teams to plan, test, and deploy system improvements that strengthen platform stability and security.<br>• Document system configurations, operational procedures, and technical changes to support maintainability and knowledge sharing.