Note: The job is a remote job and is open to candidates in USA. Commerce is an AI-driven commerce ecosystem company and the parent company of BigCommerce, Feedonomics, and Makeswift. The Lead Software Engineer - AI will define the architecture and standards for production-grade AI services, build scalable Go- and Python-based solutions, and develop LLM applications including RAG workflows. The role also provides technical guidance, mentors senior engineers, and partners with product and engineering leadership to deliver reliable, scalable, and cost-aware AI systems.
Responsibilities
- Define and evolve the architectural direction for AI services and initiatives
- 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), ensuring clear paths to production-ready implementations
- Define and enforce standards for evaluation, cost-awareness, and operational reliability across AI systems
- Mentor Senior AI Engineers through design reviews and technical guidance
- Collaborate with Staff Engineers when broader architectural alignment is required
- Work directly with Product Managers and stakeholders to clarify goals and define measurable success criteria
- Balance hands-on engineering with architectural oversight
- Ensure architectural consistency and adherence to established design standards
- Raise the technical bar through thoughtful reviews and shared engineering standards
Skills
- 7+ years of professional software engineering experience
- Strong proficiency in Go (GoLang) and experience building production-grade, API-driven services
- Proficiency in Python for experimentation, prototyping, and scripting
- 3+ years of experience building and deploying AI/ML systems in production environments
- Strong experience with modern LLM ecosystems (e.g., OpenAI, Anthropic, Hugging Face)
- Deep understanding of LLM-based solution patterns, including Retrieval-Augmented Generation (RAG), structured outputs, schema-driven generation, and agents/orchestration workflows
- Familiarity with MCP (Model Context Protocol) servers and orchestration approaches
- Experience evaluating LLM performance in production contexts, including prompt design, quality measurement, and model comparison
- Experience designing and operating scalable API services at scale
- Strong experience with cloud infrastructure (AWS, GCP, or Azure)
- Experience with vector databases and inference systems
- Strong SQL skills and familiarity with modern data storage technologies
- Experience working with large taxonomies or structured classification systems
- Experience in e-commerce, product catalogs, or sales channel data models
- Familiarity with frontend frameworks (React, Angular)
Benefits
- Remote work arrangement
- Where applicable, this role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies.
Company Overview
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