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2 days ago
We're seeking a seasoned AI Engineer to drive the development of our next-generation consumer AI product. The ideal candidate will possess expertise in large language models, conversational AI, and edge optimization.
Responsibilities:- Model Development: Design and implement lightweight LLM pipelines for structured, interactive outputs.
- Interaction Flows: Build branching narrative/interaction flows with deterministic continuation and constrained decoding.
- Moderation and Safety: Develop moderation and safety layers: rule-based filters, toxicity detection, and fallback to external moderation APIs.
- Content Filtering: Apply content filtering and vocabulary controls to ensure safe, compliant outputs.
- Personalization: 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: Build internal tools for prompt/template management, content testing, and moderation review.
- Integration: Work closely with the Speech AI Engineer to integrate text generation voice pipeline seamlessly.
- Observability: 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.
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