Senior AI Product Lead

4 days ago

Agra, Uttar Pradesh, India beBeeaiengineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking a skilled AI Engineer to lead the development of a next-generation consumer AI product.

The ideal candidate will be responsible for designing and implementing lightweight language models that generate safe, structured, and engaging interactions.

Key Responsibilities:

  • Design and implement LLM pipelines for structured, interactive outputs.
  • Build branching narrative/interaction flows with deterministic continuation and constrained decoding.
  • Develop moderation and safety layers: rule-based filters, toxicity detection, and fallback to external moderation APIs.
  • Apply content filtering and vocabulary controls to enforce safe, compliant outputs.
  • Implement heuristics-based personalization and progress tracking for adaptive experiences.
  • Optimize models for offline-first inference with cloud fallback when needed.
  • Build internal tools for prompt/template management, content testing, and moderation review.
  • Work closely with the Speech AI Engineer to integrate text generation voice pipeline seamlessly.
  • Define observability metrics (latency, generation success, moderation outcomes).

Required Skills:

  • 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.

Benefits Include:

  • Opportunity to work on cutting-edge AI technology
  • Collaborative and dynamic work environment
  • Professional growth and development opportunities

Nice to Have:

  • Experience with dialogue systems or conversational assistants
  • Exposure to personalization/recommendation systems
  • Familiarity with educational/narrative applications

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