Senior AI Engineer

At G2, everything we are and what we do is grounded in our PEAK values— (Performance + Entrepreneurship + Authenticity + Kindness. Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other’s successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and learn.

You will be part of a global, diverse team of smart, dedicated, and kind individuals - each with unique talents, aspirations, and life experiences. At the heart of our community and culture are our people-led ERGs, which celebrate and highlight the diverse identities of our global team. As an organization, we are intentional about our DEI and philanthropic work (like our G2 Gives program) because it encourages us all to be better people.

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.

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

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

•  Experience deploying or fine-tuning open-weight models for specific use cases

• Hands-on experience with agent orchestration frameworks

At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here. 

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