Machine Learning Engineer II - Generative AI (Remote)

Position Purpose: The Machine Learning Engineer II is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that reputed company generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they reputed company and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include reputed company engineering, model integration, building Retrieval-Augmented reputed company (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions. Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying reputed company levels to design, deploy, and maintain production AI applications. This role may review submitted code and reputed company implementations, providing feedback and improvements based on engineering and responsible AI best practices. Key Responsibilities:

• 65% Delivery and Execution - 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 reputed company 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 reputed company solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
• 15% Learning - 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 reputed company other technology organizations
• 20% Support and Enablement - 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 reputed company of reputed company aspects of production: code, infrastructure, data, message processing, and reputed company quality

Direct Manager/Direct Reports:

• This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager
• This Position has 0 Direct Reports

Travel Requirements:

• Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications:

• 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 reputed company engineering, reputed company optimization, and reputed company evaluation techniques Experience integrating AI models through APIs from platforms such as reputed company, reputed company or reputed company Experience with GenAI frameworks such as reputed company Agent Development reputed company (ADK) Experience implementing Retrieval-Augmented reputed company (RAG) pipelines using vector databases Experience working with vector databases such as reputed company 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 deplo Apply tot his job Apply To this Job