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Remote, mid-level ML title, LLM popularity and 5+ years requirement create high applicant competition.
Specialized LLM and production ML experience make cross-industry transferability limited, so sensitivity is high.
Explicit 5+ years plus mandatory production ML/LLM, cloud, and deployment skills increase filtering to high.
Lead the design and implementation of a large language model (LLM) framework to support diverse applications across Avalara.
Own the end-to-end development lifecycle including conceptualization, prototyping, delivery, and ensuring system scalability, performance, and accuracy.
Mentor junior engineers and lead code review sessions to maintain high-quality code and documentation standards.
5+ years of industry experience in software development and building/deploying machine learning models in production.
Bachelor's or Master’s degree in computer science.
Proficiency in Python and familiarity with other programming languages; experience with LLMs such as GPT, Claude, LLama, or Bedrock models.
Experience with cloud environments (AWS, Azure, GCP), machine learning frameworks, CI/CD practices, and software development best practices.
Proven ability to lead development of large-scale AI/ML platforms focusing on LLMs and GenAI applications.
Strong software engineering background with experience in scalable, performant, and accurate ML systems.
Experienced mentor and reviewer capable of fostering code quality and collaboration within engineering teams.