Senior AI Innovation Director

2 days ago

Aurangabad, Maharashtra, India beBeeEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Engineering Lead

About the Role:

We're seeking an experienced AI engineer to spearhead our next-generation consumer AI product. The successful candidate will be responsible for designing and implementing lightweight LLM pipelines, branching narrative/interaction flows, moderation and safety layers, content filtering and vocabulary controls, personalization and progress tracking, and optimizing models for offline-first inference.

Responsibilities:
  • Design and Implement Lightweight LLM Pipelines: Develop optimized language models that generate safe, structured, and engaging interactions.
  • Build Branching Narrative/Interaction Flows: Create deterministic continuation and constrained decoding approaches.
  • Moderation and Safety Layers: Implement rule-based filters, toxicity detection, and fallback to external moderation APIs.
  • Content Filtering and Vocabulary Controls: Enforce safe and compliant outputs through content filtering and vocabulary controls.
  • Personalization and Progress Tracking: Implement heuristics-based personalization and progress tracking for adaptive experiences.
  • Optimize Models for Offline-First Inference: Quantize models for efficient offline operation with cloud fallback when needed.
  • Internal Tools: Develop tools for prompt/template management, content testing, and moderation review.
  • Integration with Speech AI Engineer: Collaborate with the Speech AI Engineer to integrate text generation with voice pipeline seamlessly.
  • Observability Metrics: Define latency, generation success, and moderation outcome metrics.
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, prompt engineering.
  • Proficiency in PyTorch; experience serving models with FastAPI/Docker.
  • Experience with edge optimization: quantization, batching, caching.
  • Knowledge of structured AI outputs (JSON schemas, branching graphs).
  • Hands-on with content moderation systems and multi-layer safety approaches.
  • Understanding of privacy and compliance requirements for consumer AI apps.
Nice to Have:
  • Experience with dialogue systems or conversational assistants.
  • Exposure to personalization/recommendation systems.
  • Familiarity with educational/narrative applications (general, not product-specific).
  • Degree from top-tier universities.

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