Senior LLM Engineer

Want to help us help others? We’re hiring GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join us The GoFundMe team is searching for our next Senior ML Engineer to help design and implement our next generation of machine learning and generative AI-based services. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business. This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina. The Job… Responsibilities Lead the development, design, and maintenance of cutting‑edge LLM and agent‑based applications, ensuring the translation of generative AI research into production‑ready technologies. Lead initiatives to optimize the performance and quality of AI‑based systems, including prompt engineering, model fine‑tuning, and agent‑based application enhancements, collaborating closely with product managers and stakeholders. Develop and deploy orchestration and evaluation frameworks tailored for generative AI solutions, emphasizing reliability, scalability, and low‑latency performance. Design and develop scalable, efficient training and inference pipelines, ensuring seamless integration with existing production systems and adherence to best engineering practices. Support operational excellence by participating in initiatives to streamline AI workflows and establish standardized procedures to ensure consistent and high‑quality outcomes across our AI projects and systems. Collaborate closely with AI/ML engineers and cross‑functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, continuous learning, and drive the successful implementation of machine learning projects. Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine‑learning systems. Qualifications 4+ years of hands‑on experience in AI, machine learning, data science, or related fields, with a strong emphasis on practical engineering applications and deploying robust solutions into production environments. Extensive experience with large language models (LLMs), including prompt engineering, fine‑tuning, retrieval‑augmented generation (RAG), and developing agent‑based applications deployed in user‑facing products. Experience designing, developing, and deploying end‑to‑end AI and machine‑learning systems, including data pipelines, model training and serving, and monitoring solutions. Demonstrated ability to guide projects and foster a collaborative and high‑performing work environment that values continuous improvement and knowledge sharing. Ability to break down complex projects, effectively scope and sequence work, and manage timelines to ensure the timely and successful delivery of machine‑learning initiatives. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non‑technical stakeholders. Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred. A sense of humor is optional but appreciated. Why you’ll love it here Make an Impact: Be part of a mission‑driven organization making a positive difference in millions of lives every year. Innovative Environment: Work with a diverse, passionate, and talented team in a fast‑paced, forward‑thinking atmosphere. Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support: Enjoy financial assistance for hybrid work, family planning, along with generous parental leave, flexible time‑off policies, and mental health and wellness resources to support your overall well‑being. Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement: Make a difference through our volunteering and Gives Back programs. We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us GoFundMe is proud to be an equal‑opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at #J-18808-Ljbffr