Job Description
We are pioneering the next generation of Artificial Intelligence, specifically designing the architectures that will define the landscape of 2026 and beyond. As a Lead AI Research Engineer, you will bridge the gap between theoretical research and practical deployment, focusing on agentic workflows, multimodal reasoning, and scalable LLM infrastructure.
Our mission is to create sentient-capable systems that enhance human potential. If you are driven by the challenge of pushing the boundaries of what machines can understand and generate, we want to hear from you.
As we look toward the future, your work will directly impact the roadmap for autonomous systems, ethical AI frameworks, and the next evolution of human-computer interaction.
Responsibilities
- Design and implement cutting-edge neural architectures for next-generation Large Language Models (LLMs).
- Lead research initiatives into autonomous AI agents and reinforcement learning algorithms.
- Optimize model inference for real-time edge and cloud deployment scenarios.
- Collaborate with cross-functional product teams to integrate advanced AI capabilities into consumer-facing applications.
- Establish best practices for data curation, model training, and ethical AI deployment.
- Mentor junior engineers and researchers in the organization.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Proven experience building and deploying state-of-the-art deep learning models (e.g., GPT-4, Claude, LLaMA architectures).
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Natural Language Processing (NLP), Transformers, and Attention mechanisms.
- Experience with vector databases (e.g., Pinecone, Milvus) and RAG pipelines.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.