Role Description Yosemite Models is looking for a Model Head Booker to manage model bookings and oversee day-to-day operations across Europe and international markets. You will guide talent placements from initial client engagement to confirmed bookings, ensuring smooth operations, strong client relationships, and optimal model utilization. From scheduling and negotiations to operational management and strategic planning, you’ll manage the full lifecycle of model assignments, helping models and clients connect successfully within the global fashion and creative industries. This is not an employment role—the focus is on independent, commission-based collaboration with full operational autonomy. Responsibilities - Take full responsibility for model bookings and placements across Europe and international markets - Handle communication with clients, agencies, and models - Manage daily operations and global booking logistics - Act as the main operational contact for Yosemite Models - Maintain independent books under an international agency framework - Track bookings, invoicing, and payments accurately - Collaborate directly with the founder on strategy, positioning, and operational improvements - Identify new opportunities for model placements and agency growth Qualifications - Fluent English; additional European languages are advantageous - Proven experience in model booking, casting, or talent representation - Strong fashion and/or commercial network in Europe - Fully independent/freelance (not actively employed by another modeling agency) - Comfortable with commission-based compensation - Long-term mindset, professional discretion, and reliability - Strong organizational, negotiation, and communication skills Benefits - Flexible, remote-first work - Commission-based earning model with strong upside - Access to corporate benefits - Work with international influencers, models, and creative campaigns - Growth opportunities in a fast-expanding creative agency

Description Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, CA three times per week at minimum or other frequency dictated by the business or Remote, Washington state location. The Role GM is looking to hire highly skilled and experienced Staff Software Engineers to join our team focused on developing cutting-edge AI agents. This role involves leading the design, development, and deployment of robust, scalable, and intelligent software agents that drive innovation across our products and services. The ideal candidate will have a deep understanding of AI/ML principles, distributed systems, and a track record of technical leadership. What You'll Do - Lead the architecture and implementation of next-generation AI agents, from conceptualization to production deployment. - Drive technical direction and strategy for the AI agent platform, ensuring scalability, reliability, and performance. - Mentor and guide junior and senior engineers, fostering a culture of technical excellence and best practices. - Collaborate with Product Managers and other engineering teams to define requirements and deliver impactful solutions. - Conduct complex code reviews, system design reviews, and provide constructive feedback. - Identify and address technical debt, performance bottlenecks, and architectural challenges within the agent infrastructure. - Stay current with the latest advancements in AI, machine learning, and software engineering to continually improve our technology stack. Your Skills & Abilities (Required Qualifications) - Bachelor's degree in Computer Science, related technical field, or equivalent practical experience. - 8+ years of professional software development experience, with a focus on large-scale distributed systems or AI/ML infrastructure. - Expert proficiency in one or more programming languages such as Python, C++, Java, or Kotlin. - Extensive experience designing, building, and deploying production-grade AI/ML models or intelligent agents. - Demonstrated technical leadership in complex projects, including mentoring and driving cross-functional initiatives. What Will Give You a Competitive Edge (Preferred Qualifications) - Master's or Ph.D. in Computer Science or a related quantitative field. - Deep expertise in specific AI agent technologies (e.g., Reinforcement Learning, Multi-Agent Systems, Large Language Models (LLMs)). - Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). - Proficient with Android development with a proven ability to design and deploy high performance applications. - Proven ability to communicate complex technical concepts effectively to both technical and non-technical audiences. - A strong portfolio of contributions to open-source projects or relevant publications. Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is ($189,300 - $290,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. This Job may be eligible for relocation benefits. #LI-SA2 This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Description At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. Job summary We are seeking a Senior AI Engineer to transition our AI capabilities from "prototype" to "production." In this role, you will not just experiment with models; you will architect robust Agentic Systems that can plan, reason, and execute complex workflows autonomously for a wide variety of business user needs while experimenting with cutting-edge models and tools to push the boundaries of what's possible. The ideal candidate is a * forward-thinking engineer * who thrives on hands-on experimentation with AI models and frameworks, learns quickly, and is naturally curious. You will collaborate closely with product managers, business partners, and platform teams to deliver high-value AI agents that solve real-world problems across the enterprise What you will do: * Agentic Engineering & Orchestration * Workflow Design: * Architect complex, multi-agent workflows * using Microsoft * AI tech stack. * Design * , Develop and Deploy * agents to handle loops, interruptions, and human-in-the-loop interventions. * Tool Use & Function Calling: * Build reliable "tool layers" that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms (e.g., * SalesF * orce, Workday, ServiceNow etc. * ) * State Management: * Design persistence layers to manage agent memory, conversational history, and context windows efficiently. * Advanced Data & RAG Strategy * Retrieval Pipelines: * Build production-grade * data retrieval and integration * systems. Optimize vector indexing, document chunking, and re-ranking algorithms to ensure high-precision context retrieval. * Data Quality: * Collaborate with Data Engineers to curate "Golden Datasets" * for agent consumption * LLMOps, Evaluation & Quality * Automated Evaluation: * Build CI/CD pipelines for AI that include * "LLM-as-a-Judge" * testing. * Leverage * frameworks to score agent outputs for accuracy, hallucination, and safety before deployment. * Observability: * Instrument applications with tracing tools to visualize agent reasoning chains, monitor latency, and debug failures in production. * Cost Optimization: * Monitor token usage and latency, optimizing prompt density and caching strategies to maintain high performance at sustainable costs. * Innovation & Collaboration * Prototyping to Production: * Rapidly validate new ideas using state-of-the-art models * then refactor successful prototypes into maintainable, tested production code. * Standards Adoption: * Stay ahead of the curve by evaluating emerging * technologies * to standardize agent connectivity. What we expect of you * Core Engineering: Bachelor's degree and 5 years of software engineering experience, with exposure to AI/ML applications OR 9 years of software engineering experience, with exposure to AI/ML applications * AI Specialization: 2+ years specifically building with LLMs, with deep familiarity in: * Orchestration: LangChain, LangGraph, or similar state-based frameworks. * Vector DBs: Pinecone, Weaviate, or pgvector. * Prompt Engineering: Advanced techniques (Chain-of-Thought, ReAct, Few-Shot). * Production Mindset: Experience not just building demos, but operating them. You know how to handle rate limits, context window overflows, and non-deterministic errors. * Soft Skills: Ability to explain "probabilistic software" to non-technical stakeholders- managing expectations that agents are never 100% accurate, but can be 100% useful. * Excellent communication skills, with experience in documenting technical designs, sharing insights, and enabling team knowledge transfer. * What We Offer * Opportunity to design and build the next generation of enterprise AI agents. * A collaborative environment where experimentation and innovation are encouraged. * We make technology work so people can do great things. * CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive. Pay range: $124,000 - $ 174,600 depending on experience and skill set Benefits overview: [https://cdw.benefit-info.com/](https://cdw.benefit-info.com/) Salary ranges may be subject to geographic differentials * We make technology work so people can do great things. * CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law. CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, CDW's goal is to get to know you as an applicant and understand your experience, strengths, skills, and qualifications. While AI can help you present yourself more clearly and effectively, the essence of your application should be authentically yours. To learn more, please review [CDW's AI Applicant Notice](https://www.cdwjobs.com/pages/ai-applicant-notice).

Role Description We are currently seeking an AI Engineer with Java to join our team in Remote, Karnātaka (IN-KA), India (IN). - Specialized role focused on supporting, designing, developing GenAI applications. - Provides high touch service to Hanover users regarding changes in-scope of the support services. - Supports the GenAI applications including: - Model deployment - Configuration - Data integration - Architecture support - Prompt engineering - Issue resolution - Regression testing - Translates support issues into designs and develops the GenAI solutions, integrations, and prompt engineering. - Utilizes core development skills in tools such as: - Python - API builds and integrations - Gen AI patterns such as RAG and others - Azure cloud services - Have working knowledge of Gen AI frameworks (e.g., Semantic kernel). - Alternate between core development of GenAI services (e.g., LLM orchestration, embedding optimization, tool/function calling logic) and support of production GenAI applications (e.g., incident resolution, service monitoring, and root cause analysis for production deployments). - Implement and support RAG-based GenAI solutions integrating vector stores, chunking strategies, prompt pipelines, and semantic search frameworks (e.g., Semantic Kernel, Azure AI Search). - Write and maintain clean, modular Python code for GenAI applications such as LLM integration, data preprocessing, and tool-based agent design. Qualifications - Minimum Skills Required: Python with Core Java Company Description NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. - One of the world's leading AI and digital infrastructure providers. - Unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. - Consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. - A Global Top Employer with experts in more than 50 countries. - Access to a robust ecosystem of innovation centers as well as established and start-up partners. - Part of NTT Group, which invests over $3 billion each year in R&D.