Lead generative AI product development at APPIT Software in New York, architecting enterprise-grade LLM systems with advanced RAG, fine-tuning, and multimodal capabilities.
New York, USA
Full-time
AI & Machine Learning
Responsibilities
Architect and lead development of enterprise generative AI platforms
Design sophisticated RAG systems with hybrid search and re-ranking strategies
Lead fine-tuning initiatives using RLHF, DPO, and parameter-efficient methods
Build evaluation frameworks for generative AI quality, safety, and reliability
Drive technical decisions on model selection, hosting, and optimization
Collaborate with enterprise clients to design custom AI solutions
Requirements
5+ years of ML engineering experience with 2+ years focused on generative AI
Deep expertise in LLM architectures, fine-tuning, and inference optimization
Experience building production RAG systems with complex retrieval pipelines
Strong knowledge of RLHF, DPO, LoRA, QLoRA, and other alignment techniques
Proficiency with cloud AI services and GPU cluster management
Track record of shipping generative AI features to production at scale
Nice to Have
Experience with multimodal models (vision-language, audio-language)
Knowledge of AI safety and red-teaming methodologies
Published research in generative AI
Skills
PythonLLMsRAGRLHFFine-TuningvLLMKubernetesMultimodal AI
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