Software Engineer II

We are looking for an AI Engineer to build and evolve AI capabilities that support a wide range of business use cases across the organization. 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 production‑quality AI components with minimal direction. Optimize AI systems for performance, cost, and reliability. Stay current with AI/ML trends and evaluate 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. Qualifications 4+ years of professional software engineering experience. Proficiency in Go or another modern backend language such as Python, PHP, or Java. 1+ year of experience building or working with AI/ML systems in a production or production‑adjacent environment. 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 Have 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. Success Criteria AI components are delivered with quality and meet defined requirements. Code is well‑structured, tested, and easy for teammates to build on. Blockers and risks are surfaced early and communicated clearly. Actively growing understanding of the AI/ML domain and the team's systems. Contributes positively to team velocity and culture. Location & Work Model For candidates based in the Austin Metro area, this role follows a hybrid work model, with three days per week in the office to balance focused individual work and meaningful in‑person collaboration. Compensation Base: $95,000.00–$168,000.00 USD Variable compensation (bonus or commission), equity, and benefits may also apply based on local policies. EEO & Inclusion We are an equal‑opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow, and thrive. We are committed to creating an inclusive and accessible hiring experience for all candidates. #J-18808-Ljbffr Commerce.com Pty Ltd