AI Visionary for Next-Generation Consumer Products

7 days ago

Mumbai, Maharashtra, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Next-Generation Consumer AI Product Engineer

We are seeking a highly skilled AI Engineer specializing in Large Language Models (LLMs) and Interactive AI to lead the development of our next-generation consumer AI product. This role focuses on building optimized language models that generate safe, structured, and engaging interactions, deployable on both edge devices and the cloud.

This position requires expertise in designing and implementing lightweight LLM pipelines for structured, interactive outputs using Phi-2, TinyLLaMA, Mistral-small, and other lightweight models. The ideal candidate will have experience developing optimized pipelines for safe and compliant outputs.

Key Responsibilities:
  • Design and Implement Lightweight LLM Pipelines: Develop optimized pipelines for structured, interactive outputs using Phi-2, TinyLLaMA, Mistral-small, and other lightweight models.
  • Build Narrative/Interaction Flows: Create branching narrative/interaction flows with deterministic continuation and constrained decoding.
  • Moderation and Safety Layers: Develop rule-based filters, toxicity detection, and fallback moderation APIs to ensure safe and compliant outputs.
  • Personalization and Progress Tracking: Implement heuristics-based personalization and progress tracking for adaptive experiences.
  • Model Optimization: Optimize models for offline-first inference with cloud fallback when needed.
  • Internal Tools Development: Build tools for prompt/template management, content testing, and moderation review.
Requirements:
  • 5+ Years of Professional Experience: In applied AI/NLP with at least 3 years focused on LLMs or conversational AI.
  • Strong Background in Language Models: Fine-tuning, LoRA, adapter methods, and prompt engineering.
  • PyTorch Proficiency: Experience serving models with FastAPI/Docker.
  • Edge Optimization: Knowledge of quantization, batching, and caching.
  • Structured AI Outputs: Understanding of JSON schemas and branching graphs.
Nice to Have:
  • Dialogue Systems or Conversational Assistants: Experience with dialogue systems or conversational assistants.
  • Personalization/Recommendation Systems: Exposure to personalization/recommendation systems.
  • Educational/Narrative Applications: Familiarity with educational/narrative applications.

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