AI Engineer (Remote)

Continued is a leader in EdTech dedicated to empowering professionals and enhancing careers. They are seeking an experienced AI Engineer to build and deploy AI-powered systems that deliver measurable business outcomes while collaborating with other engineers to operationalize machine learning models.

Responsibilities:

• 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
• Fluency 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 ability to build clean, reliable pipelines
• Ability to write production-ready code with OOP, clean architecture, and testable systems
• 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 and hold the big picture and implementation detail at the same time
• Comfortable in a stakeholder meeting as well as in a code review
• Belief in responsible, transparent AI practices and bring that lens to everything you build
• Ability to thrive in a remote-first environment, be self-directed, and genuinely enjoy collaborating across functions
• Can work a full-time W2 position on core U.S. business hours in your time zone
• Ability to fulfill the job requirements with or without reasonable accommodations
• Must be located in the United States and be legally eligible to work for us
• Travel is required for an all-company meeting, and may be required once or twice per year for team or project meetings
• Occasional after-hours/on-call for emergency support and special events (generally less than four times per year)
• Full-Stack Fluency: You've built end-to-end systems with React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends—and you're comfortable managing data with Postgres or Redis
• Quantitative Thinker: You have a solid grounding in statistics, probability, and experimental design. You know how to evaluate model performance rigorously, design meaningful tests, and distinguish signal from noise