AI Engineer

Role Overview

• Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation.
• Design, develop, and support AI & automation systems that drive measurable business outcomes—from initial scoping to production deployment.
• Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer.
• Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector databases, and semantic search.
• Ensure the high availability, performance, and security of AI platform services.
• Contribute to platform growth by authoring SDKs, APIs, and comprehensive developer documentation.
• Translate complex AI concepts for non-technical stakeholders and keep business goals front and center.
• Keep pace with rapidly evolving AI models, frameworks, and research—and bring that knowledge back to the team.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field—or equivalent demonstrated experience through portfolio work, open-source contributions, or professional practice.
• Minimum of 3–5 years of experience in Software Engineering, Data Engineering, or Data Science, with meaningful hands-on experience building and deploying AI or LLM-powered systems.
• Proven experience moving AI models out of notebooks and into live, scalable, monitored production systems.
• Fluent in the full generative AI stack—LLMs, embeddings, vector databases, semantic search—and know how to apply them to real business problems.
• Strong SQL skills, experience with data warehousing, and you build clean, reliable pipelines that others can depend on.
• Write production-ready code. OOP, clean architecture, testable systems—these aren’t buzzwords to you, they’re defaults.
• Experience with automation tools (Zapier, Gumloop, n8n, or similar) and know when to reach for them versus when to build something custom.
• Ability to connect technical decisions to business outcomes.
• Comfortable in a stakeholder meeting as you are in a code review.
• Believe in responsible, transparent AI practices and bring that lens to everything you build.
• Thrive in a remote-first environment, are self-directed, and genuinely enjoy collaborating across functions. Curiosity is your default setting.
• Preferred: Full-Stack Fluency in React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends—and you’re comfortable managing data with Postgres or Redis.
• Preferable: Solid grounding in statistics, probability, and experimental design.

Tech Stack

• JavaScript
• Next.js
• Node.js
• Postgres
• Python
• React
• Redis
• SQL
• TypeScript

Benefits

• Work from home with a company-provided MacBook and internet stipend.
• 21 days of flexible PTO + your birthday + holidays (with flexible substitution).
• Comprehensive medical, dental, and vision group health insurance, flexible spending accounts, and more.
• 401k match, professional development budget, robust wellness programs, pet insurance and many more perks and benefits.