Principal Engineer AI/ML
Core
Architecting multimodal GenAI systems that extract structured insights from brand knowledge to generate verified, on-brand content at scale.
Role type
Principal Engineer AI/ML (GenAI/ML Systems)
Builds
Scalable GenAI applications, multimodal content generation systems, and enterprise AI services.
Domain
Generative AI, NLP, Computer Vision, Enterprise Software
Deliverable
production ML models
Required skills
NLP, Computer Vision, Deep Learning, Generative AI, LLM fine-tuning (LoRA, QLoRA), RAG/GraphRAG, vector databases, multi-agent orchestration, PyTorch, TensorFlow/Keras/JAX, Python, MLOps/LLMOps, distributed training, data engineering
Preferred skills
Thought leadership (publications/open-source), driving innovation in emerging tech, shipping GenAI-first applications at enterprise scale
Technologies
LLMs, VLMs, multi-agent frameworks, enterprise search, AWS, GCP, Azure, Hugging Face, CUDA
Responsibilities
Shape technical vision and roadmap for GenAI initiatives, architect end-to-end AI systems, implement and adapt academic research techniques, design evaluation systems (LLM-as-judge, A/B testing), analyze trade-offs across cost/latency/accuracy, mentor senior engineers
Seniority
Principal, technical leadership & strategy
