Responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models
Collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve
Design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products
Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services
Interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions
Support evaluation, performance optimization, testing, and monitoring of AI systems in production
Work with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions
Able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels
Review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices
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
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
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

Requirements

3 - 5 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,
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
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.

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

Pythonlarge language models (LLMs)prompt engineeringRetrieval-Augmented Generation (RAG)Google Cloud PlatformCI/CD pipelinesGPU accelerationSQLdata engineeringconversational AI

Soft Skills

collaborationindependencefeedbackdocumentationcommunicationproblem-solvingadaptabilitycross-functional teamworkquality assurancestakeholder interaction