Lead Software Engineer - AI Solutions

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 Style 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. Qualifications 7+ years of professional software engineering experience. Strong proficiency in Go 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 (OpenAI, Anthropic, Hugging Face). Deep understanding of LLM‑based solution patterns, including RAG, structured outputs, schema‑driven generation, and agents/orchestration workflows. Familiarity with MCP 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. Nice to have: experience with large taxonomies or structured classification systems. Nice to have: experience in e‑commerce, product catalogs, or sales channel data models. Nice to have: familiarity with frontend frameworks (React, Angular). Success Criteria AI initiatives ship with strong architectural integrity and measurable business impact. AI services are scalable, reliable, and cost‑aware in production. Clear architectural direction is reflected in design decisions and implementation standards. Senior Engineers grow in capability through mentorship and architectural guidance. Cross‑functional collaboration results in well‑aligned, well‑executed AI solutions. Compensation $187,496 - $281,244 annually (range). EEO Statement We are an equal opportunity employer. #J-18808-Ljbffr Commerce.com US, Inc.