Senior AI Software Architect & Lead Engineer — Remote

BigCommerce Pty; Austin (TX); Remote; USD 163,000 - 245,000; Full time

Job summary

Commerce seeks a Lead Software Engineer - AI to define the architectural direction for AI services, lead both high- and low-level design, and establish patterns followed by the team.

You will build scalable, API-driven AI services in Go, develop LLM-based solutions and RAG workflows, prototype in Python, and mentor senior engineers while partnering with product leadership to deliver measurable outcomes.

Qualifications

• 7+ years of professional software engineering experience.
• Proficiency in Go and Python for production-grade systems.
• 3+ years building AI/ML systems in production.
• Strong experience with modern LLM ecosystems and RAG workflows.
• Experience designing scalable API services at scale.
• Cloud experience with AWS, GCP, or Azure.
• Familiarity with vector databases and inference systems.
• Strong SQL skills and data storage familiarity.

Responsibilities

• Define and evolve the architectural direction for AI services.
• Lead high-level and low-level design for major AI programs.
• Establish architectural patterns and technical guidelines that other engineers follow.
• Build and evolve scalable, API-driven AI services in Go.
• Develop LLM-based solutions, including classification, extraction, structured generation, and RAG workflows.
• Drive rapid experimentation and prototyping (often in Python).
• Define and enforce standards for evaluation, cost-awareness, and reliability across AI systems.
• Mentor Senior AI Engineers through design reviews and guidance.
• Collaborate with Staff Engineers for broader alignment.

Skills

Go

Python

AI/ML in prod

LLM ecosystems

RAG

APIs

Cloud infra

SQL

Vector DBs

Tools

AWS

GCP

Azure

Hugging Face

OpenAI

Job description

Commerce seeks a Lead Software Engineer - AI to define the architectural direction for AI services, lead both high- and low-level design, and establish patterns followed by the team.

You will build scalable, API-driven AI services in Go, develop LLM-based solutions and RAG workflows, prototype in Python, and mentor senior engineers while partnering with product leadership to deliver measurable outcomes.