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2 weeks ago
We are seeking an experienced AI Engineer to lead the development of a next-generation consumer AI product. The successful candidate will be responsible for designing and implementing lightweight LLM pipelines, building narrative/interaction flows, and developing moderation and safety layers.
Key Responsibilities- Design and implement efficient LLM pipelines for structured, interactive outputs.
- Build branching narrative/interaction flows with deterministic continuation and constrained decoding.
- Develop rule-based filters, toxicity detection, and fallback moderation APIs.
- Apply content filtering and vocabulary controls to ensure safe and 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).
- 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.
- Graduated from top-tier colleges.
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