Role Description Estamos em busca de professor(a) de inglês para ministrar aulas online ao vivo, para alunos de diferentes níveis. - Conduzir aulas online de inglês, individuais ou em pequenos grupos - Planejar e adaptar conteúdos conforme o nível e objetivo dos alunos - Estimular a conversação e o desenvolvimento das habilidades de speaking, listening, reading e writing - Acompanhar a evolução dos alunos e fornecer feedbacks constantes Qualifications - Fluência em inglês - Experiência com aulas online será um diferencial - Boa comunicação, didática e organização - Comprometimento com horários e qualidade das aulas Requirements - Experiência com metodologias comunicativas - Vivência com ensino para adultos - Facilidade com ferramentas digitais e plataformas de videoconferência

• Create innovative, thought provoking, and highly leveraged “must-have insights” content • Develop new insights and ideas through thought leadership and offer compelling, actionable approaches to client's needs and requests that accelerate the client's ability to act • Develop in-depth analysis to identify the root cause of a client’s barriers or overall needs and reframe thinking to drive strategy forward • Demonstrate thought leadership in establishing Insights positions across a team of analysts • Bring provocative, independent insights to Gartner leaders that can evolve the course of a research agenda • Research, analyze and predict market trends and shifts to provide clients and vendors with actionable insights • Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face-to-face interactions • Create and deliver high value presentation materials on and off stage for Gartner events, industry and professional association conferences, and client briefings • Support BTI and Sales: Provide sales support serving as voice of the market to help Insights teams create content and to drive engagement with clients to make progress against their critical priorities to grow their business • Provide high quality and timely content peer review • Build credibility as an industry expert to represent Gartner insights, methodology and strategy • Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the Insights community • Identify research process improvements or develop new processes that help the team and BTI provide excellent service delivery • Be a mentor and a coach by supporting more junior team members • Be client-centric while actively seeking to help clients engage regularly and often with Gartner insights and interactions

Advertising Summary: Join a forward-thinking university team shaping the future of research with cutting-edge AI. As a Senior AI Developer, you’ll design and deploy secure, custom solutions powered by Large Language Models and RAG pipelines—helping researchers work smarter, faster, and more efficiently. From building high-performance vector databases to advancing ethical, institutionally grounded AI, your work will directly support innovation at scale. If you’re a skilled Python developer with hands-on LLM experience and a passion for turning complex technology into real-world impact, this is your opportunity to lead meaningful change in a collaborative academic environment. Unit: VP Research MBU Department: Research Information Sys Department Summary: At the VCU Office of the Vice President for Research and Innovation, our mission is to foster transformative research, discovery, and innovation at Virginia Commonwealth University through excellence in service. We partner with faculty in all schools and departments as they seek funding, plan studies, establish collaborations, calculate budgets, submit grant applications, negotiate industry contracts, and secure patents and licensing agreements. Our commitment to supporting and elevating the research community at VCU has resulted in record levels of sponsored research and has placed VCU among the nation’s premier public research universities. Through our passion for discovery and willingness to take on challenges, we continue to advance the work that matters most and position the university as a national leader in research, innovation, creativity, and scholarship. Duties & Responsibilities: The Senior AI Developer will be a member of the Office of the Vice President for Research & Innovation (OVPRI) IT team and is responsible for the design, development, and maintenance of customized artificial intelligence solutions that enhance the research mission of the University. The Developer will leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to create secure tools that will accelerate and enhance the research administration process. The incumbent must balance high-level machine learning engineering with a deep commitment to digital ethics and institutional data sovereignty. Duties and Responsibilities: LLM Development and Managmeent- - Custom LLM Implementation: Design and maintain LLM models that allows the research community to access models via a secure, authenticated internal interface. - RAG Pipeline Construction: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that allow AI agents to "read" university-specific research administration and regulatory affairs data (grant proposals, contracts, agreements, protocols, etc) without leaking that data into public training sets. - Vector Database Management: Manage and scale vector databases to ensure high-speed semantic search across research administration and regulatory affairs documents. - New AI Documentation - - Document LLM and RAG processes and configurations - Document APIs to allow applications to utilize AI technologies developed - Provide recommendations on appropriate training documents for models and fine-time parameters. - Provide detailed training documentation to users as needed. Research AI Technologies - - Research new AI technologies and provide recommendations on implementation. - Test new AI methodologies and usages and provide recommendations for integration with existing systems. Minimum Qualifications - Demonstrated ability to work in and foster an environment of respect, professionalism and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a staff member at VCU. - Only applicants who do not require current or future sponsorship for employment will be considered - Bachelor’s degree in computer science, Data Science, Information Technology, or a related field. - Minimum of 2 years of experience in software development with at least 1 year of hands-on experience developing applications using LLM APIs (OpenAI, Anthropic, or open-source models); or an equivalent combination of education and professional experience. - Advanced proficiency in Python, including experience with asynchronous programming and data manipulation libraries (Pandas, vLLM, LangChain, PyTorch). - Demonstrated experience building with RAG (Retrieval-Augmented Generation) architectures and orchestration tools (like document chunking, embedding, and retrieval inferences) - Experience with at least one Vector Database (e.g. Chroma, Qdrant). - Ability to translate complex technical AI concepts for non-technical stakeholders (Faculty, Staff, and Students). - Ability to work in a diverse environment. - Ability to manage tasks on multiple concurrent projects. Preferred Qualifications - Subspeciality or Degree in a field related to Artificial Intelligence. - Previous experience working within a Higher Education environment. - Experience utilizing an HPC cluster (slurm/ bash scripts and GPU usage) - Knowledge of PEFT (Parameter-Efficient Fine-Tuning) methods, specifically LoRA (Low-Rank Adaptation) - Basic ability to build rapid prototypes to demonstrate AI tools to users. - Demonstrated knowledge of data security and accessibility standards. Salary Range: 68,300 - 105,000 Benefits: All full-time university staff are eligible for VCU’s robust benefits package that includes comprehensive health benefits, paid annual and holiday leave, generous tuition benefits, retirement planning and savings options, tax-deferred annuity and cash match programs, employee discounts, well-being resources, abundant opportunities for career development and advancement, and more. FLSA Exemption Status: Exempt Hours per Week: 40 Restricted Position: No ORP Eligible: No Flexible Work Arrangement: Fully Remote University Job Title: 24255N - Sr IT Developer/Programmer 2

Role Overview Alchemy is seeking a qualified Practitioner with applied, real-world experience in Generative AI Integration for Developers to participate in a skills assessment validation engagement. This is a short-term, contract, remote engagement in which the Practitioner will complete a practitioner-level skills assessment and a brief post-assessment survey. This role does not involve teaching, instructional design, content creation, or ongoing advisory responsibilities. Engagement Details Engagement Type: Contract / 1099 – Short-term engagement Location: Remote Estimated Item Count: ~90 Estimated Time to Completion: Approximately 1.5–2.5 hours Assessment Window: Work must be completed within a defined access window. Scope of Work Complete a practitioner-level skills assessment used for validation and standard-setting purposes. Complete a short post-assessment survey providing feedback on the assessment experience. This role does not include: • Teaching or facilitation responsibilities • Instructional or curriculum design work • Content authoring or SME review of materials • Ongoing advisory or consulting responsibilities Required Expertise The Practitioner should be a current software engineer / developer with applied, real-world experience related to the following knowledge areas and skills: Integrating Generative AI for Developers • Develop a comprehensive technical implementation plan for integrating generative AI into existing systems • Identify key technical requirements and dependencies for generative AI deployment • Decide on architecture that supports scalable generative AI operations • Create a phased rollout strategy to minimize disruption and manage risks • Establish performance metrics and monitoring processes for generative AI systems Aligning Generative AI with Business Cases • Analyze business processes to identify opportunities for generative AI implementation • Evaluate the potential ROI of generative AI applications across different business functions • Develop use-case-specific strategies for integrating generative AI into product workflows • Apply a framework for prioritizing generative AI initiatives based on business value and feasibility • Design a pilot program to test generative AI in real-world contexts Ensuring Interoperability in Generative AI Systems • Assess the interoperability requirements for generative AI within an organization's technology ecosystem • Create protocols to facilitate seamless integration with existing systems • Develop strategies for managing version compatibility and updates across integrated AI systems • Establish governance for maintaining interoperability as generative AI technologies evolve Security for Generative AI Integrations • Identify security vulnerabilities specific to generative AI • Apply mitigations for various types of GenAI security vulnerabilities • Develop strategies to protect against adversarial attacks and model manipulation • Create incident response plans tailored to generative AI security breaches Effective Cost Management for Generative AI • Estimate the total cost of ownership for generative AI implementations • Optimize computational resources for transfer learning models • Evaluate the factors that impact Generative AI costs • Apply techniques for reducing data storage and transfer costs associated with large/complex AI models • Create budgeting and forecasting models for long-term generative AI initiatives Scaling Integrated Generative AI • Assess infrastructure requirements for supporting large-scale generative AI initiatives • Design scalable architectures capable of handling increasing AI workloads and data volumes • Implement load balancing and distributed computing strategies for integrated generative AI • Build disaster recovery and product continuity plans specific to generative AI infrastructure Applied Developer Workflow Integration • Leverage AI-powered tools in day-to-day development workflows, including code generation, code completion, testing, and documentation Ideal Candidate Profile Active software engineer or developer with hands-on experience integrating generative AI into production systems or developer workflows. Practical, working knowledge of how the concepts listed above are applied in real professional settings. Does not need to be an academic researcher or industry thought leader — applied experience is what matters. Deliverables Completed skills assessment within the defined access window. Completed post-assessment survey. Compensation This is a flat-fee engagement, paid upon successful completion of the assessment and survey.