
Lead AI Engineer
3 weeks ago
We are hiring an AI Engineer specializing in LLMs & Interactive AI to own the narrative engine, content generation, safety/moderation systems, and personalization logic for a next-generation consumer AI product. The role focuses on building lightweight, optimized language models that generate safe, structured, and engaging interactions, deployable on both edge devices and the cloud.
Responsibilities- Design and implement lightweight LLM pipelines (Phi-2, TinyLLaMA, Mistral-small, etc.) 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 (Detoxify), and fallback to external moderation APIs (e.g., GPT/Claude).
- 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 (quantization, ONNX, GGUF/ggml) 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).
- 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.
- Experience with dialogue systems or conversational assistants.
- Exposure to personalization/recommendation systems.
- Familiarity with educational/narrative applications (general, not product-specific).
- Graduated from IITs/NITs/Tier 1 Colleges
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