AI Research Engineer
Core
Design, evaluate, and deploy generative AI (GenAI) systems at the intersection of cutting-edge AI research and product engineering.
Role type
AI Research Engineer (GenAI)
Builds
Generative AI applications, evaluation frameworks, and scalable MLOps/DevOps pipelines.
Domain
Artificial Intelligence / Generative AI / Large Language Models
Deliverable
production ML models | product features
Required skills
LLM development, prompt engineering, reinforcement learning, fine-tuning, software engineering, MLOps, distributed training, multi-GPU optimization, experiment tracking, data privacy compliance
Preferred skills
Hugging Face Transformers, Hugging Face TRL, DeepSpeed, Accelerate, FSDP, vLLM
Technologies
Hugging Face Transformers, Hugging Face TRL, DeepSpeed, Accelerate, FSDP, vLLM
Responsibilities
Collaborate with product managers and engineers to design AI-driven solutions; Research, prototype, and develop generative AI applications; Build evaluation frameworks and benchmarks to measure model quality; Generate regular reports on model accuracy, drift, and performance; Debug, optimize, and enhance GenAI applications; Train and fine-tune large language models; Manage training workflows with experiment tracking tools; Run and optimize multi-GPU training and inference; Contribute to the design of scalable MLOps/DevOps pipelines; Ensure compliance with data privacy, security, and responsible AI guidelines.
Seniority
Individual Contributor, hands-on engineering and research