Job Description
We are seeking a visionary Lead AI Engineer to spearhead the development of next-generation generative AI systems. As we look toward the technological landscape of 2026, we are building a team that pushes the boundaries of Large Language Models (LLMs), multi-modal AI, and autonomous agents. You will define the technical strategy for our core infrastructure and work on projects that will shape the future of human-computer interaction.
If you are a technical leader who thrives in a fast-paced environment and is passionate about solving complex problems, we want to hear from you.
Responsibilities
- Architect and implement scalable AI infrastructure optimized for 2026-era workloads.
- Lead research initiatives into novel Generative AI architectures and training methodologies.
- Optimize model inference latency and resource efficiency for edge and cloud deployment.
- Collaborate closely with product and engineering teams to integrate AI capabilities seamlessly.
- Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.
- Define the long-term technical roadmap and ensure alignment with business goals.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in Deep Learning, NLP, or Computer Vision.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of distributed systems, cloud platforms (AWS/GCP), and containerization (Docker/K8s).
- Experience with MLOps pipelines and model deployment strategies.
- Proven ability to publish in top-tier AI conferences or contribute to open-source projects.