Arlo Solutions is looking to build, integrate, and optimize AI-powered learning capabilities within LMS environments to enable automation, personalization, and scale across modern digital learning ecosystems, thereby reducing costs, improving business processes, accelerating response time, improving services to end-users, and giving customers a competitive edge.
Requirements
- 3+ years of development experience, including experience with AI/ML models, APIs, or intelligent systems.
- Proficiency in modern programming languages (e.g., Python, JavaScript/TypeScript, Node.js) and web frameworks (e.g., React, Django, Flask).
- Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD practices.
- Experience working with or integrating into LMS platforms via RESTful APIs, LTI, or SCORM/xAPI.
- Experience with AI development libraries and platforms (e.g., TensorFlow, PyTorch, LangChain, Rasa).
- Knowledge of data privacy, accessibility, and ethical use of AI in educational environments.
- Familiarity with learning science, instructional systems, or educational UX.
Responsibilities
- Design and develop intelligent components such as chatbots, virtual assistants, and adaptive tutors using natural language processing (NLP), machine learning, and AI APIs (e.g., OpenAI, Hugging Face, Google Dialogflow).
- Build analytics engines to process user data, deliver insights, and support learner feedback loops.
- Integrate AI tools with LMS platforms (e.g., Moodle, Docebo, Blackboard) via APIs, SDKs, or middleware.
- Develop and maintain custom plugins, widgets, or microservices to enhance LMS functionality.
- Support both frontend UI/UX and backend logic to ensure seamless user interactions and performance.
- Implement workflows and data pipelines that support content automation, user segmentation, and personalized learning paths.
- Conduct unit testing, QA, and A/B experiments to validate performance and improve user experience.
Other
- The ideal candidate blends technical fluency, AI development experience, and a passion for transforming user learning experiences.
- Collaborate with instructional designers to align AI behavior with pedagogical goals and UX expectations.
- Demonstrate the ability to contribute effectively within an Agile team proactively seeking solutions within their area of expertise, collaborating with others to generate innovative ideas, and fostering a culture of continuous learning and cohesive teamwork.
- The drive to learn AI tools and automation frameworks to optimize workflows, reduce manual effort, and enhance productivity across program management, documentation, and solution development activities.
- Exposure to government, DoD, or large enterprise learning ecosystems is a plus.
