We are seeking an AI Researcher to join our team. The ideal candidate will have hands-on AI/ML research or engineering experience, a deep understanding of LLM architecture, and proficiency in Python and at least one ML framework. They will be responsible for exploring emerging AI models, building rapid prototypes, designing and running experiments, and partnering with engineering teams to convert research prototypes into scalable systems.
Requirements
- 2+ years of hands-on AI/ML research or engineering experience (industry or academic)
- Deep understanding of LLM architecture—transformers, attention, fine-tuning, LoRA/QLoRA, inference scaling, etc.
- Proficiency in Python and at least one ML framework (PyTorch, JAX, Hugging Face, etc.)
- Experience building or fine-tuning retrieval-augmented pipelines, agent systems, or tool-using models
- Familiarity with cloud compute, GPUs, vector databases, and model deployment stacks
- Ability to prototype quickly—turning research concepts into working demos in days, not months
- Strong communication skills—able to translate complex research into actionable insights for product, design, and engineering teams
Benefits
- Competitive salary
- Opportunities for career growth and development
- Collaborative and dynamic work environment