Attract, evaluate, and secure qualified travel nurses; maintain a strong candidate pipeline; support staffing levels aligned with client needs; and contribute to company growth and reputation through efficient recruiting and candidate engagement.
BASIC PURPOSE
The Candidate Engagement Specialist is responsible to attract, evaluate, and secure highly qualified travel nurses efficiently, ensuring optimal staffing levels that align with client needs and maintaining a pipeline of skilled candidates to support the company’s growth and reputation in a competitive market.
QUALIFICATIONS/EDUCATION
1 year of sourcing/recruiting experience, 2+ years preferred.
1 year of office experience
Strong Computer/Technological skills using Microsoft Office and recruitment software/tools.
High school diploma or equivalent, or equivalent combination of education and sufficient experience to successfully perform the essential functions of the job. Bachelor’s degree preferred.
Similar Jobs
AdTech
Manage end-to-end candidate experience: source and engage candidates across platforms, coordinate and schedule interviews, maintain candidate records, communicate with hiring managers, and support onboarding and team collaboration while ensuring confidentiality and process adherence.
Top Skills:
EmailFacebookGoogle MeetInstagramLinkedInOnlinejobsSlackTiktok
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Architect and deploy production-grade autonomous AI agents for semiconductor manufacturing. Responsibilities include designing multi-agent systems, RAG and agent pipelines, evaluation and profiling frameworks, MCP/A2A integrations, security controls, and Kubernetes-based CI/CD deployments. The role requires optimizing inference workloads, transforming AI prototypes into scalable systems, collaborating with data teams and manufacturing experts, and mentoring engineers.
Top Skills:
A2AAgent-To-Agent ProtocolAgentic AiCi/CdCloud ComputingComputer VisionCrewaiDockerFunction CallingGenerative AiGoogle Agent Development KitKubernetesLangchainLanggraphLangsmithLarge Language ModelsMcpMicrosoft Agent FrameworkModel Context ProtocolOpentelemetryPrompt EngineeringPythonPyTorchPytorch ProfilerRagRustScikit-LearnSignal ProcessingTensorFlowTensorrt-LlmTypescriptVector SearchVllm
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Leads a team of 6–10 Solution Consultants supporting enterprise sales pursuits. Responsibilities include coaching, recruiting, performance management, technical sales strategy, proof-of-value execution, customer engagement, cross-functional collaboration, forecasting, QBRs, and revenue attainment. The role partners closely with Sales, Product, Engineering, Professional Services, Customer Success, and Marketing while driving team productivity and regional sales initiatives.
Top Skills:
Cloud TechnologyDigital Experience MonitoringItilSaaSService Management
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
