Responsibilities
- 45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; 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
- 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 within other technology organizations; Attends conferences and learns how to apply new innovations and technologies where appropriate
- 20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses
- 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 Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality
- This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager
- This Position has 0 Direct Reports
- Typically requires overnight travel 5% to 20% of the time.
- 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.
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Basic qualifications
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Preferred qualifications
- 5 - 7 years of relevant work experience
- 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
- Experience with building conversational AI systems, or AI assistants
- Experience with responsible AI practices including bias mitigation and safety guardrails
- Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.
- Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.
- Experience with monitoring, evaluation, and optimization of production AI systems
- Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)
- Experience with GPU acceleration (i.e. CUDA and cuDNN)
- Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3
- Experience in writing SQL queries against a relational database
- Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization
- Experience in training machine learning models with extremely large datasets
- Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
- Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
- Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide
- Familiarity with defensive coding practices and patterns for high Availability
- Familiarity with A/B testing and effective REST design for scalable web services architecture
- Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization
- Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer
- The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
- No additional education
- 3
- No additional years of experience
- None
- None
- None
- Global Perspective
- Manages Ambiguity
- Nimble Learning
- Self-Development
- Collaborates
- Cultivates Innovation
- Situational Adaptability
- Communicates Effectively
- Drives Results
- Interpersonal Savvy
Tags & focus areas
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