Staff Software Engineer, G2

• We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway
• 8 to 10 years of professional programming experience in web application environments
• Expert-level proficiency in Ruby on Rails and/or Python; strong working knowledge of modern JavaScript frameworks
• Hands-on experience building agentic AI systems and implementing multi-step reasoning patterns with LLMs
• Direct experience working with LLM APIs from providers such as OpenAI, Anthropic, or Google, including prompt engineering and response handling
• Regular use of AI coding assistants (e.g., GitHub Copilot, Claude Code) as part of your daily development workflow
• Solid understanding of the generative AI landscape, including strengths and limitations of major models
• Experience with agile development practices including CI/CD, code reviews, and feature flags
• Bachelor's degree in Computer Science or related field; advanced degree preferred

Desirable

• G2 is looking for a Staff Software Engineer specializing in AI/Generative technologies, you will be a hands-on technical leader building sophisticated AI-powered features within our product suite
• This role suits an engineer who views AI as a powerful collaborator and is ready to drive high-impact generative AI initiatives
• You will implement AI-first solutions, develop prompt engineering best practices, and mentor team members on AI-augmented development
• Our quarterly "Weeks of Creativity" give you dedicated time to experiment with cutting-edge AI capabilities
• Build AI-first features: Design and implement intelligent features from concept to production within our Ruby on Rails/Python platform. Drive technical decisions for your projects and ensure solutions are scalable, maintainable, and aligned with product requirements
• Develop prompt-engineering solutions: Create, test, and refine prompts for production use cases including data synthesis, content generation, and workflow automation. Build automated prompt-testing frameworks and measure model performance to optimize results
• Champion AI-augmented development: Serve as the go-to expert on AI coding assistants within your team. Demonstrate best practices for integrating tools like GitHub Copilot and Claude Code into daily workflows, and help teammates increase their productivity through effective AI collaboration
• Implement AI integrations: Evaluate and integrate third-party and open-source AI models into our backend (Ruby on Rails/Python) and frontend (JavaScript, Hotwire, React) systems. Build reliable, production-grade implementations that solve real customer problems using LLM APIs
• Build agentic architectures: Design and implement agent-based patterns that effectively combine LLM autonomy with human oversight, tool use, and multi-step reasoning workflows
• Enable AI with quality data: Build data pipelines and ensure data quality for AI-driven features. Apply expert-level SQL and PostgreSQL skills to support model training, fine-tuning, and inference
• Collaborate on AI initiatives: Work closely with product managers, designers, and data scientists to deliver AI-powered features. Provide technical input on feasibility, effort, and approach for AI projects on your team
• Ensure quality and reliability: Implement comprehensive testing strategies (unit, integration, functional) for AI features. Champion code quality, performance optimization, and operational reliability in production
• Mentor team members: Guide other engineers on your team in AI technologies and best practices. Share knowledge through code reviews, pair programming, and technical discussions

• How We Use AI Technology in Our Hiring Process:
• G2 incorporates AI-powered technology to enhance our candidate evaluation process
• These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements
• While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment
• Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice
• Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team