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Experience: 5+ yrs

Location: India

Job Type: Full-time

We are looking for an experienced AI Engineer / Technology Product Leader to drive the development of AI-powered products and technology solutions within the EdTech and education ecosystem . The role combines technical leadership, AI innovation, product development, academic integration, and team management.

The ideal candidate will have strong experience across AI/ML, Generative AI, LLMs, SaaS platforms, cloud technologies, data, and product development , along with the ability to translate real-world educational challenges into scalable technology solutions.

Requirements Key Responsibilities

- Lead the development and continuous improvement of AI-powered EdTech and SaaS products
- Translate academic, business, and institutional requirements into clear technology and product solutions
- Define product requirements, technical direction, feature priorities, roadmaps, and release plans
- Guide the development of AI/ML, Generative AI, and LLM-powered features
- Identify and implement practical AI use cases across learning, teaching, assessment, content generation, analytics, and institutional operations
- Evaluate AI models, APIs, frameworks, and emerging technologies for potential product applications
- Guide architecture and technology decisions across SaaS platforms, LMS/ERP integrations, REST APIs, microservices, cloud infrastructure, databases, and analytics systems




- Work closely with engineering teams to review technical approaches, identify risks, and ensure scalable and reliable solutions
- Collaborate with academic leaders, teachers, content teams, and students to understand real-world educational needs
- Support the development of personalized learning, intelligent assessments, AI-generated content, recommendation systems, and education analytics
- Lead product pilots, gather user feedback, evaluate outcomes, and convert successful solutions into scalable products
- Establish responsible AI practices with a solid focus on student safety, data privacy, accuracy, security, and ethical AI adoption
- Build and lead multidisciplinary teams across software engineering, AI/ML, product, UI/UX, data, QA, content, and technical support
- Define team objectives, KPIs, processes, and performance standards while mentoring and developing team members
- Improve product development, testing, deployment, documentation, and operational processes
- Partner with leadership and stakeholders to align technology initiatives with business objectives and growth opportunities

What Makes You a Great Fit

- 5+ years of experience in AI/ML, software engineering, technology leadership, product development, EdTech, SaaS,



or digital transformation
- Strong understanding of Artificial Intelligence, Generative AI, Machine Learning, LLMs, and AI APIs
- Proven experience building, launching, managing, or scaling technology products
- Strong understanding of SaaS architecture, cloud platforms, APIs, microservices, databases, data analytics, and system scalability
- Experience translating complex business or user requirements into practical technology solutions
- Ability to work effectively with highly technical engineering teams and provide clear technical direction
- Robust understanding of the software product development lifecycle, from concept and MVP through launch and scale
- Experience leading cross-functional or multidisciplinary teams and managing technology initiatives
- Strong product thinking with the ability to balance user needs, technical feasibility, business value, and execution speed
- Excellent analytical, problem-solving, communication, presentation, and stakeholder-management skills
- Strong ownership mindset with the ability to operate independently in an evolving and ambiguous environment
- Experience in EdTech, K-12 education, LMS, ERP, assessment platforms, personalized learning, or education analytics will be highly advantageous
- Experience implementing AI-powered products or working with emerging AI technologies will be a strong advantage
- A Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI, Data Science, or a related field is preferred

📌 AI Engineer - EdTech, AI & Technology (Delhi)
🏢 Weekday AI (YC W21)
📍 Delhi