AI Engineer (Remote)

Continued • Austin, TX

79d • Remote

About The Position

A leader in EdTech, Continued is a team of passionate individuals dedicated to empowering professionals and enhancing careers. We are fast-paced, nimble, and we laugh a lot. We are proud to be certified as a great workplace, ranked #35 in Fortune's 2025 Best Medium Workplaces, ranked #18 in Fortune's 2025 top 25 Small & Medium Workplaces for Women, and ranked #74 in Fortune’s 2024 Best Small & Medium Workplaces for Millennials by the independent analysts at Great Place to Work®. We are 100% virtual, scattered across the country, but we maintain a tight-knit culture driven by curiosity, a love of learning, and a desire to solve complex problems. Learn more about us at continued.com and parent company lacallegroup.com.

We are seeking an experienced AI Engineer who is motivated, creative, and personable to join our dynamic team. This role requires a strong combination of technical expertise—particularly in software and AI—and real-world experience in building and deploying AI-powered systems. The ideal candidate will be focused on ensuring that technical AI solutions solve real-world problems and deliver measurable business outcomes. The AI Engineer will be responsible for moving models out of a notebook environment and integrating them 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. This role will also 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.
• 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 ability to build clean, reliable pipelines.
• Writes production-ready code. OOP, clean architecture, testable systems.
• Experience with automation tools (Zapier, Gumloop, n8n, or similar).
• Connects technical decisions to business outcomes. Can hold the big picture and the implementation detail at the same time.
• Comfortable in a stakeholder meeting as well as a code review.
• Believes in responsible, transparent AI practices and brings that lens to everything they build.
• Thrives in a remote-first environment, is self-directed, and genuinely enjoys collaborating across functions. Curiosity is your 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.

Nice To Haves

• Full-Stack Fluency: 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. Knows 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