Job Description
About the Role:
We are seeking a visionary Senior Generative AI Architect to lead the charge in building the intelligent systems of tomorrow. As we approach the pivotal year of 2026, our mission is to revolutionize how humans interact with machine learning through scalable, ethical, and groundbreaking generative models.
In this role, you won't just write code; you will architect the neural foundations of the future. You will work at the intersection of research and engineering, deploying large-scale models that redefine industry standards.
Why Join Us?
• Work with state-of-the-art hardware and software stacks.
• Influence the roadmap for the next generation of AI agents.
• Competitive equity package and remote-first flexibility.
Responsibilities
- Architect & Deploy: Design and implement scalable generative models (LLMs, diffusion models) using PyTorch and TensorFlow.
- Optimization: Focus on inference optimization, quantization, and latency reduction for real-time applications.
- Ethical AI: Establish and enforce governance frameworks to ensure model fairness, transparency, and safety.
- Research Integration: Translate cutting-edge academic research into production-ready code and infrastructure.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of experience in deep learning, NLP, or Computer Vision.
- Tools: Proficiency in Python, CUDA, and cloud platforms (AWS/GCP/Azure).
- Modeling: Proven track record of fine-tuning and fine-tuning large language models (e.g., GPT, Llama, BERT).
- Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders.