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 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.

• 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).

• 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.

$187,496 - $281,244 annually (range).

We are an equal opportunity employer.