Software Engineer II
About The Position
Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we’re looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what’s possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you. We are looking for an AI Engineer to help build and evolve AI capabilities that support a wide range of business use cases across the organization. You will be a contributing member of a focused AI services team, working alongside experienced engineers and Product partners to deliver reliable, scalable AI solutions. In this role, you will contribute to AI initiatives from design through production delivery, implementing well-scoped AI features and components with limited direction. This role offers hands-on exposure to complex problem spaces, real ownership of individual deliverables, and the opportunity to grow your technical skills and influence over time.
Requirements
- 4+ years of professional software engineering experience
- Proficiency in Go or another modern backend language such as Python, PHP, Java
- 1+ year of experience building or working with AI/ML systems, including in production or production-adjacent environments
- Familiarity with modern GenAI ecosystems (OpenAI, Anthropic, Hugging Face, Braintrust, PortKey, LangChain)
- Exposure to NLP tasks via LLMs (text classification, named entity recognition, extraction, summarization)
- Basic working knowledge of cloud platforms (AWS, GCP, or Azure)
- Experience with SQL and working with structured data
- Experience with RabbitMQ, Grafana or Prometheus
Nice To Haves
- Familiarity with vector databases, inference engines, or data persistence layers
- Familiarity with structured output handling (JSON mode, schema validation, output parsing)
- Proficiency with current frontend frameworks such as React
Responsibilities
- Build, test, and integrate AI solutions such as LLM-based systems, RAG pipelines, agents, and orchestration layers
- Implement systems to extract structured information from descriptions, classify content against taxonomies, and generate content aligned with organizational ontologies
- Contribute to a shared AI platform with a focus on reuse, maintainability, and internal developer experience
- Translate well-defined requirements into working, production-quality AI components with minimal direction
- Optimize AI systems for performance, cost, and reliability
- Stay current with AI/ML trends and participate in evaluations of new tools and technologies
- Collaborate with Product Managers and Engineering partners to understand requirements and contribute to technical planning
- Communicate progress, blockers, and technical decisions clearly and in a timely manner
- Balance speed and quality, and seek guidance when navigating complex tradeoffs
Benefits
- variable compensation (such as bonus or commission)
- equity
- benefits in accordance with local policies
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
