Senior AI Software Architect & Lead Engineer — Remote

BigCommerce Pty

Austin (TX)

Remote

USD 163,000 - 245,000

Full time

14 days+
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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.

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