Top Tech Jobs & Startup Jobs

Leads enterprise prompt engineering strategy, standards, governance, design, testing, evaluation, and optimization. Develops reusable prompt libraries, improves LLM performance, collaborates with technical and business stakeholders, evaluates AI platforms, supports organizational AI initiatives, and mentors prompt engineers and AI specialists. The role requires deep Generative AI and LLM expertise, leadership experience, and the ability to establish scalable AI quality and governance practices.

Designs, tests, evaluates, and refines prompts for Generative AI systems across customer support, content generation, workflow automation, and knowledge management use cases. The role assesses AI outputs, documents findings, develops reusable prompt libraries, collaborates with AI and product teams, researches emerging techniques, and supports AI testing and implementation.

Supports full-cycle recruitment through job postings, resume screening, phone screens, interview coordination, candidate communication, ATS maintenance, bilingual sourcing, job fairs, onboarding, and employment-law compliance. The role requires Spanish and English fluency, strong organization, professionalism, confidentiality, and attention to detail while delivering a positive candidate experience.

Design, implement, and optimize AI-powered workflow automation solutions. Analyze business processes, document current and future states, gather requirements, integrate automation tools, support testing and deployment, monitor performance, and identify improvements. Collaborate with business and technical stakeholders, provide training and troubleshooting support, promote automation best practices, and contribute to digital transformation and innovation initiatives.

Manage and optimize infrastructure supporting AI and machine learning systems, including GPU/CPU clusters, cloud environments, LLMs, data pipelines, and model deployments. Responsibilities include system monitoring, security, access management, automation, scripting, CI/CD support, troubleshooting, documentation, and performance optimization. The role collaborates with developers, data scientists, and prompt engineers to maintain reliable, scalable AI platforms.

Provides administrative and clerical support to leadership by managing communications, scheduling appointments, preparing presentations, creating social media content, arranging travel, handling confidential information, and coordinating office tasks. The role requires strong organization, communication, multitasking, attention to detail, professionalism, and proficiency with Microsoft Office. Previous experience is preferred but not required, and training is provided.

Manages the full talent acquisition lifecycle, including candidate sourcing, phone screening, interview coordination, job fairs, hiring events, background checks, onboarding support, and personnel record maintenance. Tracks recruitment metrics, maintains HR and timekeeping data, supports compliance with employment laws, and contributes to process improvements. The role requires strong communication, organization, attention to detail, confidentiality, and proficiency with Microsoft Office and HR systems.

Supports the development and maintenance of AI governance frameworks, policies, controls, and responsible AI practices. Conducts AI risk assessments, impact analyses, compliance reviews, and regulatory monitoring; tracks governance metrics and prepares leadership reports. Collaborates with legal, compliance, security, AI, and business stakeholders to translate requirements into practical controls, support audits, and improve governance maturity.

Supervise call center supervisors, improve operational performance and efficiency, analyze center metrics, provide coaching, oversee quality assurance, handle complex escalations, implement process improvements, and ensure policy and regulatory compliance. The role requires call center operations experience, leadership, communication, problem-solving, technology proficiency, English fluency, and willingness to complete background and drug screening.

Identifies business opportunities for AI and automation, gathers and documents requirements, develops business cases, supports solution design and delivery, facilitates stakeholder collaboration, assists with testing and change management, and tracks project outcomes, reporting, and benefits realization.