Senior LLM Engineer

• 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

• 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

• 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 things like 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