Job Description
We are seeking a visionary Senior Generative AI Engineer to lead the development of next-generation artificial intelligence systems. As we prepare for the technological leap into 2026, you will be responsible for architecting scalable models that redefine human-machine interaction. Join a team that is not just building tools, but shaping the future.
Why Join Us?
We offer competitive equity, a cutting-edge research environment, and the opportunity to work on projects that will set the standard for the AI industry in the coming years.
Responsibilities
- Model Development: Design, train, and fine-tune large language models (LLMs) and multimodal systems using PyTorch and TensorFlow.
- System Architecture: Lead the end-to-end architecture of AI services, ensuring high performance, scalability, and fault tolerance.
- Research & Innovation: Stay ahead of the curve on emerging AI trends, implementing novel techniques to improve model efficiency.
- Collaboration: Partner with product managers and data scientists to translate complex research into production-ready applications.
- MLOps: Implement robust CI/CD pipelines and monitoring systems for model deployment and lifecycle management.
- Ethical AI: Ensure all models adhere to strict ethical guidelines and safety protocols.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field.
- Experience: 5+ years of professional experience in machine learning engineering or applied AI research.
- Technical Skills: Deep expertise in Python, NLP, and transformer architectures.
- Tools: Proficiency in MLOps tools (Docker, Kubernetes) and cloud platforms (AWS, GCP).
- Communication: Excellent ability to communicate complex technical concepts to diverse stakeholders.
- Problem Solving: Demonstrated ability to solve high-complexity technical challenges.