Staff Machine Learning Engineer
FieldguideFull Time
Expert & Leadership (9+ years)
Candidates should possess a minimum of 5 years of experience in Python programming, with a strong focus on development, and a solid understanding of LLM concepts such as prompt engineering, model fine-tuning, and transfer learning. Familiarity with one popular LLM framework, such as OpenAI GPT or Hugging Face Transformers, is required, along with proven experience with Cloud Platforms (AWS, GCP, or Azure) and hands-on experience working with Vector databases like PineCone, Chroma, MongoDB, and LanceDB.
The Senior LLM Engineer will design and implement a high-performance, scalable, and reliable LLM service using Python, LLM Services (e.g., OpenAI, Antropic’s Claude, Meta’s LLaMA etc) and AWS technologies to power SmartAsset’s applications and business needs, including building services that can serve hundreds of concurrent users per second. They will also design and develop RAG pipelines, build or integrate Voice related AI technologies and productize them at scale, collaborate with business leaders to identify potential LLM use cases, design, develop, and deploy custom LLM solutions tailored to specific division requirements, collaborate with the Data Science team to build LLM solutions including fine-tuning OpenAI models, implement software best practices for development, testing, and deployment, stay up-to-date with LLM advancements, develop and maintain comprehensive documentation, ensure data privacy and security compliance, provide technical support and training, monitor LLM performance, and collaborate with other developers and data scientists within the organization.
Provides financial decision-making tools and resources
SmartAsset offers free interactive tools and calculators that help individuals make informed financial decisions on topics like home buying, retirement planning, and personal loans. These resources are designed by personal finance experts to simplify complex financial choices for users who may lack the time or expertise to navigate them. Unlike competitors, SmartAsset generates revenue through partnerships and advertising, connecting users with local financial advisors and earning fees for referrals. The company's goal is to empower users to make better financial choices by providing accessible tools and expert guidance.