Job Title :
AI Developer (2–5 Years Experience)
About Us
We are building a next-generation AI-driven learning and analytics platform and seeking AI Developers with 2–5 years of experience to join our core product engineering team .
Role Overview
Design and implement AI-powered learning , recommendation systems , and analytics features across mobile apps and web dashboards in a high-scale production environment . Collaborate with product , mobile , backend , and academic teams to translate complex learning workflows into robust, maintainable AI services .
Key Responsibilities
- Build and integrate ML models for adaptive learning paths , diagnostic assessments , content recommendations , and performance prediction .
- Develop and optimize AI services for mentorship copilots , doubt-resolution chatbots , and prescriptive / predictive analytics .
- Implement progression logic , mastery thresholds , and readiness scoring for gamified learning journeys and real-time dashboards .
- Design secure, efficient data pipelines for ingesting learner events, aggregating metrics, and generating reports and cohort benchmarks .
- Collaborate with mobile / web teams to expose AI capabilities through RESTful APIs , ensuring low-latency , high-reliability user experiences.
- Monitor model performance in production, debug issues, and iterate based on feedback.
- Follow best practices in security , compliance , logging , and observability .
Required Skills & Experience
2–5 years as an AI / ML Engineer or AI-focused Backend Developer .Strong proficiency in Python , with experience in TensorFlow , PyTorch , NumPy , Pandas , scikit-learn .Experience deploying ML models as APIs / microservices using Flask or FastAPI .Solid understanding of recommendation systems , supervised learning , and basic NLP for chatbots / Q&A interactions .Exposure to AWS / GCP , Docker , and CI / CD environments .Knowledge of RESTful API design , JSON , role-based access , data privacy , and encryption practices .Good to Have
Experience with EdTech , adaptive testing , leaderboards , or gamified progression .Familiarity with PostgreSQL / MongoDB , Redis caching , BI tools , and event-driven architectures .Prior involvement in admin panels , dashboards , or internal tools exposing AI insights.What You’ll Work On
AI diagnostic engines for personalized learning paths.Copilot-style assistants for guidance and performance feedback.Predictive models for exam readiness and improvement trajectories.Gamification logic for mastery-based progression and engagement.Employment Type : Full-time
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