Principal Engineer AI/ML

What you'll do

• Shape the technical vision and roadmap for GenAI initiatives to extract and transform brand knowledge into content.
• Architect multimodal systems using NLP, Linguistics, and Computer Vision for grounded content generation across text, image, and video.
• Drive innovation in embedding models, contrastive learning, and reinforcement learning to advance retrieval and recommendation at scale.
• Architect end-to-end AI systems utilizing LLMs, VLMs, multi-agent frameworks, and enterprise search for production workflows.
• Implement academic research techniques while evaluating algorithmic trade-offs regarding data requirements, latency, and runtime.
• Design evaluation systems using LLM-as-judge, ensemble evaluation, A/B testing, and human-in-the-loop workflows to validate AI outputs.
• Analyze trade-offs between cost, latency, and accuracy while ensuring compliance with privacy, legal, and security constraints.
• Translate models into production-ready services by working cross-functionally with data, research, and product teams.

What we're looking for

• 14+ years of experience in AI/ML with a track record of technical leadership and shaping ML roadmaps.
• Bachelor's, Master's, or Ph.D. in Computer Science or a related field (or equivalent experience).
• Deep expertise across NLP, Computer Vision, Deep Learning, and Generative AI.
• Expert-level experience with LLM fine-tuning, prompt engineering, RAG/GraphRAG, vector databases, and multi-agent orchestration.
• Strong proficiency with Python and modern ML frameworks including PyTorch, TensorFlow/Keras, JAX, Hugging Face, and CUDA.
• Extensive experience with MLOps/LLMOps, distributed training, model serving, and cloud platforms like AWS, GCP, or Azure.
• Solid grasp of data engineering including dataset management, feature engineering, and labeling pipelines at scale.
• Proven ability to mentor senior engineers and elevate technical standards across teams.