AI Engineer (Remote)

Continued • Austin, TX

1d • Remote

About The Position

Continued is a leader in EdTech, a fast-paced, nimble, and 100% virtual company certified as a great workplace and ranked highly in various Fortune lists. They maintain a tight-knit culture driven by curiosity, learning, and problem-solving. The company is seeking an experienced, motivated, creative, and personable AI Engineer to join their dynamic team. This role requires strong technical expertise in software and AI, with real-world experience in building and deploying AI-powered systems. The ideal candidate will focus on ensuring technical AI solutions solve real-world problems and deliver measurable business outcomes, responsible for integrating models out of a notebook environment and into a live, scalable, and monitored system. The AI Engineer will collaborate closely with other engineers and the broader DAIA team to operationalize machine learning and generative AI models at enterprise scale and help define best practices and guidelines for engineering teams.

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 knowledge of 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, understanding OOP, clean architecture, and testable systems.
• Experience with automation tools (Zapier, Gumloop, n8n, or similar) and knowing when to use them versus building custom solutions.
• Ability to connect technical decisions to business outcomes and hold the big picture and implementation detail simultaneously.
• Comfortable in stakeholder meetings and code reviews.
• Belief in responsible, transparent AI practices.
• Thrives in a remote-first environment, self-directed, and enjoys collaborating across functions, with curiosity as a default setting.
• 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.
• Ability to travel for an all-company meeting, and potentially 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).

Nice To Haves

• Built end-to-end systems with React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends—and comfortable managing data with Postgres or Redis.
• Solid grounding in statistics, probability, and experimental design, knowing how to evaluate model performance rigorously, design meaningful tests, and distinguish signal from noise.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level