Lead Software Engineer

Commerce•Austin, TX

15d•$110,000 - $216,000•Hybrid

About The Position

We’re seeking a highly accountable, and impact-driven AI Lead Software Engineer to play a pivotal role in shaping and executing our AI vision. As a key member of technical staff, you’ll collaborate closely with senior Product and Engineering leaders to drive strategic initiatives and deliver results through cutting-edge AI technologies. In this role, you’ll lead the design and implementation of multiple AI-based product solutions, enabling rapid experimentation and implementation for a variety of product use-cases across the business. Success will require exceptional written and verbal communication skills, an ability to contribute to high level designs and translate into low level designs, a strong bias for action, a focus on measurable outcomes, and a commitment to continuously improving the capabilities of the organization through mentorship, coaching and evangelization.

Requirements

5+ years of coding experience in one or more server-side languages (Python, GoLang, Java, etc)
Proven experience architecting and building AI/ML systems, especially in production environments dealing with structured and unstructured data
Experience building product solutions with LLMs and GenAI technologies
Expertise in cloud platforms (AWS, GCP, or Azure), API architecture, and modern MLOps practices.
Solid experience with SQL, in-memory storage and similar data storage solutions

Nice To Haves

Preferred minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience
Experience working with product data pipelines and familiarity with e-commerce taxonomies, schemas, is highly preferred
Familiarity with modern AI infrastructure (e.g., vector databases, model orchestration tools, inference frameworks, cloud-native ML workflows) is preferred
Hands-on leadership experience with cross-functional teams – engineering, product, design, data science, driving both vision and execution.
Familiarity with Angular, React and other similar Frontend frameworks

Responsibilities

Interface with team members across one or more domains, executives and stakeholders across the business to provide context, direction setting and technical guidance.
Collaboratively contribute to and/or author high level designs and partner with key leaders to ensure strategic alignment.
Serve as lead engineer for major initiatives, working across teams to develop and implement low level designs.
Facilitate quick-turnaround solutions to address urgent business needs, striking the right balance between delivery speed, scalability, and reliability.
Collaborate with Product & Engineering leadership to help shape the AI strategy.
Assess technology options to establish fit for purpose and make selections to optimize ROI for the business.
Build scalable solutions and systems that are secure, cost-effective and performant at very large scale.
Deep understanding of and experience with RAG pipelines, MCP, AI agents, multimodal LLMs, prompt orchestration, LLM telemetry and inspection, etc.
Upskill the organization by evangelizing technologies and identifying opportunities for experimentation and education.