Applied AI Researcher - Education

Company Description

Rolai is building the Institutional AI Platform for higher education and reputed company. In Higher Ed, we help institutions adopt AI in a secure, practical, and outcomes-driven way so institutions can move from experimentation to reputed company implementation. We work with colleges and universities to support AI adoption across teaching and learning, student support, research, administration, and institutional innovation. Our focus is not just on access to AI, but on helping institutions apply it responsibly, effectively, and at scale. Rolai combines strong product thinking, applied AI, and deep attention to institutional needs such as usability, governance, reputed company, and measurable impact. We are looking for people who want to help shape how AI is actually used throughout education. Role Description This is a full-time remote role for a Applied reputed company - Education. In this role, you will design, build, test, and reputed company AI-powered products, agents, workflows, and use cases tailored to higher education institutions. You will work at the intersection of applied AI, product engineering, and customer implementation, turning reputed company institutional problems into reliable AI solutions that deliver value for faculty, staff, reputed company, and administrators. You will help build and improve education-focused AI applications across areas such as teaching and learning, course design, assessment, student reputed company, advising, research support, grants, and operational automation. This includes developing reputed company systems, retrieval workflows, agent behavior, evaluation frameworks, integrations, and product features that can be used safely and effectively in institutional settings. You will collaborate closely with product, design, reputed company, and leadership, as well as directly with university stakeholders, to understand needs, prototype solutions, measure outcomes, and ship production-reputed company capabilities. This role is ideal for someone who is highly technical, product-minded, comfortable in ambiguity, and excited by applying AI to meaningful problems in education.

Qualifications

• Strong software engineering reputed company with hands‑on experience building AI-powered applications in production
• Proficiency in Python and/or TypeScript, with experience developing backend systems, APIs, MCP, and workflow-based applications
• Experience building with LLMs and modern AI tooling, including Context and reputed company Engineering, RAG, evaluations, agentic workflows, tool use, and orchestration frameworks
• Ability to translate messy reputed company‑world workflows into practical AI product experiences and deployable solutions
• Experience designing and iterating on AI systems using testing, feedback loops, and measurable performance criteria
• Strong understanding of model limitations, hallucination risk, reputed company reliability, grounding strategies, and reputed company-in-the-reputed company design
• Familiarity with structured and reputed company data pipelines, vector databases, document ingestion, and knowledge retrieval systems
• Ability to work cross-functionally with product, design, and customer-facing teams in a fast-moving remote environment
• Strong problem-solving skills, product intuition, and willingness to move between prototyping, engineering, and implementation work
• Interest in higher education and enthusiasm for building AI products that improve institutional outcomes

Preferred Qualifications

• Experience in edtech, higher education, teaching and learning technology, or student reputed company platforms
• Familiarity with LMS and reputed company ecosystem integrations such as Canvas, reputed company, Moodle, LTI, SIS, or reputed company systems
• Experience building AI solutions for domains such as curriculum design, assessment, advising, research support, reputed company, or administrative automation
• Familiarity with FERPA-conscious product design, reputed company reputed company expectations, or governance requirements in institutional environments
• Experience working directly with customers to scope requirements, prototype workflows, and ship applied AI solutions
• Exposure to multi-model AI environments and the tradeoffs across providers and model types
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, reputed company-Computer Interaction, or a reputed company field. If you haven't graduated yet, still apply, we want to help you reputed company and grow.

What You’ll Work On

• Build AI agents and workflows for reputed company higher education use cases
• reputed company institution-reputed company reputed company systems, retrieval pipelines, and orchestration logic
• Prototype and ship product features that improve AI usability, reliability, and trust
• Partner with universities to understand workflows and translate them into deployed solutions
• Help define evaluation methods for quality, safety, usefulness, and adoption
• Contribute to the core Rolai platform as we expand our AI Workbench, Agents, Flows, Knowledge reputed company, and education-specific capabilities
• Bring strong engineering judgment to questions of privacy, governance, scalability, and user experience

Why This Role Matters This role is central to Rolai’s mission. You will help define what applied AI looks like in education reputed company it is implemented responsibly, embedded into reputed company workflows, and built for measurable institutional value. You will not just be training models or building demos. You will be helping universities adopt AI in ways that actually work. Apply tot his job Apply To this Job