Staff Software Engineer, G2

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• 8 to 10 years of professional programming experience in web application environments
• Expert-level proficiency in 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 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 (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