Job Description:
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐๐ฑ๐ฎ๐๐ ๐ฐ๐น๐ถ๐ฒ๐๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ญ๐ด๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ฌ-๐ญ๐ด ๐๐ฃ๐)
Experience: 5+ yrs
Location: India
Job Type: Full-time
We are looking for an experiencedAI Engineer / Technology Product Leaderto drive the development of AI-powered products and technology solutions within theEdTech and education ecosystem. The role combines technical leadership, AI innovation, product development, academic integration, and team management.
The ideal candidate will have strong experience acrossAI/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.
Key Responsibilities
- Lead the development and continuous improvement ofAI-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 ofAI/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 acrossSaaS 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 ofpersonalized 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 strong focus onstudent 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 experiencein AI/ML, software engineering, technology leadership, product development, EdTech, SaaS, or digital transformation.
- Strong understanding ofArtificial Intelligence, Generative AI, Machine Learning, LLMs, and AI APIs.
- Proven experience building, launching, managing, or scaling technology products.
- Strong understanding ofSaaS 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.
- Strong product thinking with the ability to balanceuser 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 inEdTech, K-12 education, LMS, ERP, assessment platforms, personalized learning, or education analyticswill be highly advantageous.
- Experience implementing AI-powered products or working with emerging AI technologies will be a strong advantage.
- A Bachelors or Masters degree inComputer Science, Information Technology, Engineering, AI, Data Science, or a related fieldis preferred.