Backend AI Engineer

2 days ago


Meerut, India Shikha Academy Full time
About Us

Shikha Labs builds AI-powered educational tools that help improve teaching and learning outcomes. Our flagship product, Sakhee, is an AI teaching coach that provides personalized feedback and development paths for teachers by analyzing their classroom sessions, helping them reflect on their teaching practices, and tracking their professional growth over time.

Tech Stack
  • Backend: Python
  • Databases: Supabase/Firebase
  • Deployment: Vercel
  • AI Integration: OpenAI ecosystem
  • Frontend Integration: NextJS
The Role

We're looking for a Backend AI Engineer who will be crucial in building intelligent educational systems that process classroom interactions, generate meaningful insights, and create engaging learning experiences. You'll work with our existing tech stack to implement sophisticated AI features that make complex educational support feel simple and natural to use.

Core ResponsibilitiesAI Architecture & Implementation
  • Design modular and maintainable prompt systems
  • Build scalable analysis pipelines for audio and text processing
  • Implement context-aware AI interactions
  • Create efficient document processing and retrieval systems
  • Develop real-time feedback mechanisms
Backend Development
  • Build robust Python backends that integrate with our NextJS frontend
  • Design multi-tenant architectures using Supabase/Firebase and setting up new architecture when we scale
  • Implement secure data handling and processing pipelines
  • Deploy and maintain systems on Vercel
  • Develop monitoring and optimization systems for AI interactions
Technical RequirementsEssential Skills
  • Strong Python development experience with focus on API design
  • Deep understanding of prompt engineering principles
  • Familiarity building and optimising RAG systems
  • Knowledge of vectorisation and semantic search
  • Understanding of audio/text processing pipelines
  • Experience with real-time data processing
  • Ability to work with serverless architectures
AI Engineering Focus
  • Understanding of different prompting techniques (few-shot, RAG, etc.)
  • Knowledge in optimising AI system performance and costs
  • Knowledge of conversation management and context handling
  • Ability to design modular, reusable AI components
  • Interest in exploring and implementing new AI patterns
Ideal Candidate Profile
  • Has built production-grade applications
  • Shows strong interest in AI/LLM development
  • Demonstrates ability to optimize for specific use cases
  • Writes clean, maintainable code
  • Works effectively with frontend teams
  • Passionate about improving education through technology
Technical Challenges You'll Work On
  • Real-time Processing Implementing efficient audio processing pipelines
  • Creating streaming transcription systems
  • Building real-time feedback mechanisms
  • AI Systems Designing modular prompt architectures
  • Implementing context-aware AI interactions
  • Creating efficient retrieval systems
  • Data Management Building multi-tenant data structures
  • Implementing secure storage systems
  • Creating efficient caching mechanisms
What Success Looks Like
  • Designing robust AI architectures that scale
  • Implementing efficient and cost-effective solutions
  • Creating reliable and maintainable systems
  • Contributing to our AI capabilities
  • Helping shape the future of AI in education
Why This Role Matters

You'll be at the forefront of applying AI to improve education, working on systems that directly impact teaching quality and learning outcomes. Your work will help teachers become better educators and create more engaging learning experiences for students.



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