Forward Deployed AI Engineer

Job Title:

Not specified, but related to AI and workflow automation in course development.

Machine Learning & Artificial Intelligence

Location:

Hoboken, NJ (On-site, Remote)

City & Local Guides

Department

AI & DLOps

Compensation Range

$35 - $45 per hour

Key Responsibilities

• Design and implement AI-driven workflows for the course lifecycle.
• Build and maintain automation pipelines for content structuring, quiz generation, etc.
• Develop AI-assisted tools and backend systems for course creation and learner support.
• Apply ML, NLP, and generative AI techniques for content quality and efficiency.
• Build and optimize data pipelines for educational content.
• Develop analytics and reporting solutions for learner engagement and workflow performance.
• Design, develop, and maintain full-stack web applications.
• Build and document APIs and integrations.
• Own the build, release, and deployment lifecycle for web services.
• Collaborate with SMEs and stakeholders to translate requirements into technical solutions.
• Proactively identify and lead improvements across workflows.
• Coordinate development efforts, task tracking, and timeline management.
• Document systems, workflows, and implementation logic.
• Coordinate delivery with teammates and align timelines.

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
• Experience with AI-assisted and agentic development tools (e.g., Claude, Cursor).
• Strong understanding of ML, Deep Learning, and Generative AI concepts.
• Experience with Python, APIs, automation workflows, and backend systems.
• Experience with web development fundamentals and modern full-stack patterns (JavaScript/TypeScript, React, REST/GraphQL API design).
• Experience building or working with data pipelines and handling structured/unstructured data.
• Working knowledge of databases and data storage (SQL/NoSQL).
• Familiarity with AI applications in media workflows.
• Understanding of Business Intelligence concepts.
• Ability to support SME-driven course development using AI-assisted tools.
• Strong collaboration and communication skills.
• Ability to manage development tasks, timelines, and multiple priorities.

• Experience with learner analytics, educational data, or digital learning platforms.
• Strong ability to design, optimize, and automate complex workflows using AI systems.
• Familiarity with product analytics, workflow optimization, and performance measurement.
• Experience supporting content, media, or course production workflows using AI-enabled systems.

Submit an online application with a cover letter and resume.

Geographic Reference

Contact

[email protected]