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Applied Generative AI Engineer at Study.com. Location Information: Remote Mexico. . Our mission is to open the door to the life-changing impact of education and help make education accessible for all. As a nimble growth stage start-up, we've emerged as the leading online education platform helping over 30 million learners and educators each month. . Study.com. has earned numerous awards and it has been recognized as one of the most transformational companies in EdTech, living up to our commitment to all learners: Breakthroughs Start Here. From students and educators in over 9,000 school districts that use . Study.com. , to working adults striving to complete their college degree or gain professional certifications, we empower them to reach their full potential. Our product is our impact! Across our college programs alone we have saved students over $200M in tuition and enabled tens of thousands to become nurses, teachers, accountants and more. Additionally, as part of our mission we’ve donated over $27 million across social impact programs to learners and educators.. Study.com is an education technology leader, owing much of its success to always being forward-thinking and rapidly integrating cutting-edge technology into both its products and its internal workflows. As Generative AI quickly redefines how we all work and how we learn, we are committed to fully embracing the immense opportunities ahead. . . We're looking for a Generative AI Specialist to join our growing team. The ideal candidate knows the ins and outs of all leading models and tools, actively follows the latest trends and has experience putting them to good use within his or her current organization to increase efficiency and impact of products, processes and services. This person is someone that uses Generative AI every day for a multitude of tasks and shares our passion for integrating AI everywhere.. . This is a full-time contract position. You will be expected to work during Study.com's Pacific Time business hours Monday through Friday. Additionally, you will use your own computer and have reliable access to high-speed internet.. . What You’ll Do:. . . Work with our internal agent infrastructure to build tools of varying complexity to support all teams within the organization . . Explore and experiment with integrating 3rd party AI solutions into our workflows . . Utilize generative AI models both behind APIs and running on our own hardware (e.g. if we wanted to fine tune or to optimize for latency and spend) . . Provision and configure hardware and install software in support of AI tools as needed . . Troubleshoot existing prompts in our public facing products and internal tools and come up with optimal new prompts, choose the best models for each task, and constantly evaluate and iterate . . Support others in their journey to squeeze maximal gains from Generative AI--mentor, answer questions, provide feedback and advice and help us to fully become an AI first organization. . . Proactively teach people by organizing and leading training sessions, reaching out and pairing up across many different teams. . . Be the go-to person for industry developments and trends within our organization—maintain best practices and understanding the current state of models, etc. . . Create rapid prototypes for others to use as examples to jump start their projects . . Stay on top of how our LLMs/agents/tools are doing in the wild, watching timing metrics, flagged conversations and overall quality. . . Create rubrics for grading agent performance and provide performance reporting to key stakeholders . . . What You’ll Bring To The Role:. . . 3-5 years of experience in Applied Engineering . . BS in Mathematics, Statistics, Computer Science, Engineering or related field (master’s degree or PhD a plus) . . Strong technical background. With the help of AI, you should be able to code anything. . . Comfortable with DevOps type tasks (installing software, provisioning cloud machines, bash) . . Extensive experience utilizing LLMs for a variety of business use cases . . Expertise on the latest models, tools and marketplace trends . . Strong proficiency in coding, preferably Python and/or Java . . Excellent proficiency in SQL, preferably MySQL and/or Google BigQuery . . Experience building data . pipelines. and familiarity with associated technologies (Airflow, Prefect, Beam) . . A willingness to work in a face-paced, dynamic environment while juggling multiple projects . . Excellent communication skills and a passion for innovation . . Familiarity with leading LLMs, e.g. Claude, ChatGPT, Gemini, Mistral, Llama, etc. . . . Nice To Have:. . . Experience with vector databases (e.g. Pinecone, Milvus, Weaviate) and embeddings . . Experience with RAG, including building pipelines to keep the vector database up to date. . . Experience maintaining up to date production machine learning models, handling regular training and updates with zero downtime. . . Experience with automation tools such as n8n or zapier . . Experience with Cursor, Windsurf, Github Copilot, etc. . . DevOps experience . . At . Study.com. , we know that strong communities are built on the power of our diversity, and we respect and strive to understand for the diverse identities, race, ethnicities, backgrounds, and perspectives of our team members. Our work and company culture have been consistently recognized, including:. . Inc. Best Place to Work. . Fortune Great Places to Work – Best Workplaces in the Bay Area. . Golden Bridge Awards – Gold Winner, Corporate Social Responsibility. . San Francisco Business Times & Silicon Valley Business Journal – Best Places to Work. . . Study.com. provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status. In addition to federal law requirements. . Study.com. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Additionally, qualified applicants with arrest and conviction records will be considered for the position in accordance with applicable state and local laws.. . .