Senior Software Engineer

G2•Austin, TX

12d•$155,000 - $185,000

About The Position

As a Senior Software Engineer at G2, you will be instrumental in creating new products and features from conception to completion, directly contributing to the company's core objectives. Your role will involve architecting solutions, guiding a team of agents through the full-stack implementation process, and meticulously reviewing their work to ensure high quality. You will act as a key technical advisor, shaping product concepts and serving as a hands-on technical partner to stakeholders and leadership. Embracing industry-leading agentic engineering techniques and an "agent-first" approach, you will deliver products aligned with modern software development practices.

Requirements

5-8 years of experience working as a Software Engineer, with proven experience building enterprise-scale applications.
Solid working proficiency in Typescript/Javascript or Python, and familiarity with modern web application frameworks like React, Next.js, or Rails.
Broad full-stack ownership; comfortable directing agents across both frontend and backend development.
Strong understanding of data schemas, databases, APIs, and AWS infrastructure, including how to structure data so it holds up at high volume and returns quickly under load; hands-on experience with performance testing, logging, and monitoring.
Hands-on experience building AI and agent-powered features and systems using frontier models from OpenAI, Anthropic, or Google.
Comfort working AI-first: delegating implementation to AI agents (e.g., Claude Code, Codex, Opencode, Pi), reviewing outcomes, and guiding architecture as part of the daily development workflow.
Understanding of the strengths and limitations of frontier models and open weight models.
Experience with continuous delivery through feature flagging and trunk-based development.

Nice To Haves

Experience deploying or fine-tuning open-weight models for specific use cases.
Hands-on experience with agent orchestration frameworks.
Experience with distributed messaging or event-streaming systems (e.g., Kafka).
Golang preferred but not required.

Responsibilities

Build AI and agent-first products and features, contributing 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, driving 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 by sharing 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.