AI Solutions Engineer

Experience: 0-3 Years

Role Overview

We’re seeking an AI Solutions Engineer to lead the integration of GenAI tools— such as ChatGPT or Claude—into our core platform. You’ll design, prototype, and deploy features that elevate student outcomes, make teaching exciting, and enrich dashboards with intelligent insights, all while upholding privacy and governance standards.
 

Key Responsibilities

• Design and build GenAI-powered features like guided study assistants, automated remediation engine, and intelligent feedback tools.
• Develop end-to-end pipelines (prompt design → model integration → CI/CD deployment) that align with Edwisely’s Intelligent Learning Infrastructure.
• Collaborate with product teams, faculty, and UX designers to deploy AI features in classrooms and dashboards.
• Ensure all AI implementations meet ISO 27001 security and CERT-In data protection guidelines. 
• Measure adoption and impact via analytics dashboards—support evidence-based learning outcomes.

What You’ll Bring

• Strong in prompt engineering, RAG, embeddings, or QA systems using frameworks like OpenAI API, LangChain, Hugging Face Transformers.
• Familiarity with ML deployment—FastAPI, Docker, AWS/GCP—within production-grade applications.
• Experience with education data, knowledge graphs, student modeling, or assessment systems is a big plus.
• Results-driven: ability to turn prototypes into scalable features.
• Passionate about improving higher education with impactful, AI-driven solutions.

Why Edwisely?

• Be part of a high-impact EdTech startup, transforming learning journeys of engineering students nationwide.
• Work with a product that uses AI + analytics to personalize learning, support faculty, and guide institutional decisions  .
• Career growth: define your ownership—architecture, implementation, or research-led product development.
• Competitive package, fast-paced work culture, and freedom to drive real-world impact. 

Application Process

1. Submit your CV + GitHub or project links (especially showcasing GenAI integrations or NLP projects). @ [email protected]
2. Technical interview focusing on applied AI scenarios (prompt design, architecture, pipelines).
3. Work sample task: prototype an AI feature for Edwisely