Description

ThreeFlow is looking for teammates who are naturally curious and love to ask questions, even when it means questioning industry standards. We cultivate an inclusive culture where everyone can contribute, grow, and feel valued.

As part of our post-Series C growth, we’re excited to add an AI Engineer to our data analytics engineering team of seven. As an AI Engineer at ThreeFlow, you will collaborate with a dedicated team of engineers and product leaders to revolutionize the insurance industry through innovative AI applications and our proprietary data set. 

This position reports to the Director of Data & AI and is based remotely within the US. Candidates must be available to work EST hours.

Our tech stack

  • AWS Lambda, Step Functions, Bedrock, EC2, S3, Docker

  • Python, R, Mlflow

  • PostgreSQL, dbt, BigQuery, Looker, Stitch

About the role

  • Help develop and deploy enterprise-scale LLM and ML solutions to optimize core business processes

  • Primarily develop, test, deploy, and monitor serverless applications (e.g., AWS Lambda) to support various data processing and analytics tasks

  • Leverage orchestration tools (e.g., AWS Step Functions) to coordinate complex workflows and integrate multiple services

  • Collaborate with cross-functional teams to design and help implement scalable AI models and solutions

  • Continuously monitor and optimize AI models to improve performance and accuracy

About you

  • Extensive experience in Python development, with a focus on productionalizing LLM and machine learning applications

  • Strong expertise in developing and deploying LLM solutions

  • In-depth knowledge of various machine learning techniques and their real-world applications

  • Proficiency in AWS services, especially Lambda and Step Functions; experience with deploying them via IaC

  • Strong understanding of CI/CD pipelines and best practices in software development

  • Excellent written and verbal communication skills for effective cross-team collaboration in a fully remote environment

  • Experience evaluating model performance is a plus



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