6+ years of professional programming experience in web application and backend environments
Expert-level proficiency in TypeScript/JavaScript or Python
Strong working knowledge of modern web application frameworks like React, Next.js, or Rails
Hands-on experience building AI and agent-powered features and systems using frontier models
Understanding of the strengths and limitations of frontier and open weight models
Regular use of agent harnesses like Claude Code, Codex, Opencode, or Pi
Responsibilities
Build and deliver user journeys to production, ensuring implementation quality from architecture to release
Design and build agents that fulfill user journeys, generate content, and automate processes
Apply software engineering principles to create observable, maintainable, scalable, and production-ready solutions
Validate solutions against functional requirements using traditional QA methods and model-based evaluations
Incorporate agentic software engineering techniques throughout the software development lifecycle
Drive product definition with designers and PMs by ideating, prototyping, and refining solutions
Champion the use of AI solutions for engineering tasks to boost product velocity
Benefits
Professional development opportunities
Flexible work environment
Collaborative team culture
Engagement in high-impact projects
Involvement in the latest tech advancements
Full Job Description
About The Role
As an AI Product Engineer, you will create new products and features end-to-end which directly contribute to G2's key organizational goals. Your responsibilities will center around building and delivering AI and agent-first products and features to production with confidence in their performance. As a technologist, you will be a key voice in defining and refining product concepts to take advantage of opportunities afforded by new tech & greater industry developments. You will adopt industry-leading agentic engineering techniques and leverage "agent-first" ways of working to deliver products, reflecting the realities of today's software development lifecycle.
In This Role, You Will:
Build AI and agent-first products and features [60%]:
Contribute across the full software stack to deliver user journeys to production, owning implementation quality from architecture to release
Design and build agents that apply prompts, context, tools, and model reasoning to fulfill user journeys, generate content, and automate processes
Apply sound software engineering and system design principles to produce solutions that are observable, maintainable, scalable, and production ready
Validate solutions against functional requirements using both traditional QA methods, model-based evals, and agent tracing to ensure quality is measurable and reproducible
Incorporate agentic software engineering techniques into the development workflow across the SDLC, from planning, design, implementation, testing, and maintenance
Actively participate in product definition as a technologist [35%]:
Drive product definition with designers and PMs: ideate, explore, and prototype with stakeholders, then cut down possible options to arrive at deliverable, but well-rounded solutions
Wholly conceive and ship features & MVP iterations early in the product definition phase that directly advance high-visibility organizational goals
Strike the right balance between investment in UX quality and tending to practical business needs through the product development process.
Partner with other engineering stakeholders to identify what technology makes possible, and what makes implementing a given product or feature hard. Bring that perspective into project scoping and prioritization
Be a source of influence for other engineers on the team [5%]:
Share knowledge, techniques, and agentic software engineering practices in async formats and dedicated venues, like technical discussions and team meetings
Champion the use of AI solutions for engineering and product tasks, accelerate product velocity and team's execution
Minimum Qualifications:
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.
6+ years of professional programming experience in web application and backend environments
Expert-level proficiency in Typescript/Javascript or Python; strong working knowledge of modern web application frameworks like React, Next.js, or Rails
Hands-on experience building AI and agent-powered features and systems using frontier models from OpenAI, Anthropic, or Google
Understanding of the strengths and limitations of frontier models and open weight models
Regular use of agent harnesses like Claude Code, Codex, Opencode, or Pi as part of the daily software development workflow
Experience with continuous delivery through feature flagging and trunk-based development
What Can Help Your Application Stand Out:
Experience deploying or fine-tuning open-weight models for specific use cases
Hands-on experience with agent orchestration frameworks
About G2
G2 is a software company that provides a platform for business software reviews and ratings. The company was founded in 2012 and is headquartered in Chicago, Illinois. G2's platform allows users to read and write reviews of business software products, as well as compare products based on user ratings and other factors. The company has over 1 million reviews on its platform and serves over 5 million business professionals each month.