Utilize existing Large Language Models to build applied AI applications focused on producing high accuracy rates.
Work collaboratively with engineering and subject matter experts to find innovative uses of AI to streamline workflows.
Build models/services that can ingest data, extract key information and surface insights.
Build tooling to support model training, evaluation, inference serving, monitoring and alerting.
Identify, extract, transform, and load data from disparate sources into a centralized system.
Design and implement schemas, optimize queries, and manage database performance.

Requirements

Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
8+ years relevant work experience.
Proficiency in modern programming languages such as Python or Javascript.
Experience with OpenAI, Anthropic, or similar for both chat and API interfaces.
Deep understanding of machine learning and AI technologies.
Production experience with scalability and best-practices of AI infrastructure.
Must have experience with AI observability and monitoring using tools like LangChain or LangGraph.
Hands-on experience using RAG and chunking to tune LLM performance.
Ability to effectively articulate technical challenges and solutions.
Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future.

Benefits

Flexible paid time off policy and 10 company-wide paid holidays
Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents
Medical, dental, and vision benefits coverage for employees and their families
401K eligibility after one month of employment
Free estate planning documents
Budget for learning & development and home office setup
Paid parking or transit for hybrid and in office employees

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonJavascriptmachine learningAI technologiesdata ingestiondata extractionschema designquery optimizationdatabase performanceRAG

collaborationinnovationarticulation of technical challengesproblem-solving

Bachelor's degree in Computer ScienceBachelor's degree in Engineering