Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions;
Documents, reviews, and ensures that all quality and change control standards are met;
Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable;
Writes custom code or scripts to automate infrastructure, monitoring services, and test cases;
Writes custom code or scripts to do 'destructive testing' to ensure adequate resiliency in production;
Program configuration/modification and setup activities on large projects using HD approved methodology;
Configures commercial off the shelf solutions to align with evolving business needs;
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice);
Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
Fields questions from other product teams or support teams;
Monitors tools and participates in conversations to encourage collaboration across product teams;
Provides application support for software running in production;
Proactively monitors production Service Level Objectives for products;
Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
1–3 years of relevant work experience in Generative AI, Machine Learning, or AI application development
Experience in Python and modern AI development frameworks
Experience building Generative AI applications using large language models (LLMs)
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases
Experience working with vector databases such as google Vertex AI Search
Familiarity with building conversational AI systems, or AI assistants
Familiarity with responsible AI practices including bias mitigation and safety guardrails
Familiarity with REST APIs, microservices architecture, and scalable AI system deployment
Familiarity implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.
Familiarity with monitoring, evaluation, and optimization of production AI systems.

Benefits

health care benefits
401K
ESPP
paid time off
success sharing bonus

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonGenerative AIMachine LearningAI application developmentprompt engineeringprompt optimizationRetrieval-Augmented Generation (RAG)vector databasesREST APIsCI/CD pipelines

Soft Skills

collaborationcommunicationproblem-solvingproactive monitoringdocumentationquality assuranceuser story developmentapplication supportlearning agilityteamwork