[Remote] AI Product Engineer
Note: The job is a remote job and is open to candidates in USA. G2 is the world's largest software marketplace, committed to transforming the B2B software industry. As an AI Product Engineer, you will create and deliver AI-driven products and features, contributing to the organization's key goals while collaborating with designers and other engineers to define and refine product concepts.
Responsibilities
- 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
Skills
- 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
- Experience deploying or fine-tuning open-weight models for specific use cases
- Hands-on experience with agent orchestration frameworks
Company Overview
Company H1B Sponsorship