Job Description
We are looking for a visionary Senior AI Engineer to join our elite team at NextGen AI Systems. In this role, you will be at the forefront of the artificial intelligence revolution, designing and deploying state-of-the-art Large Language Models (LLMs) and neural architectures that power the next generation of intelligent applications.
You will work in a fast-paced, collaborative environment where your code will directly impact millions of users. If you are passionate about ethical AI, scalable infrastructure, and pushing the boundaries of machine learning, we want to hear from you.
Why Join Us?
- Competitive base salary and equity package.
- Top-tier health, dental, and vision insurance.
- Flexible remote work options and generous PTO.
- Access to the latest hardware (GPUs) for research.
Responsibilities
- Model Development: Design, train, and fine-tune large-scale generative models (LLMs, diffusion models) using Python and deep learning frameworks.
- Infrastructure Optimization: Build scalable MLOps pipelines to manage model training, evaluation, and deployment (CI/CD) on cloud platforms.
- Research & Innovation: Stay abreast of the latest academic research in NLP and Computer Vision, implementing novel techniques to improve model performance and accuracy.
- Code Review & Mentorship: Provide technical leadership to junior engineers, conducting rigorous code reviews and mentoring team members on best practices.
- Performance Tuning: Optimize model inference latency and cost-efficiency to ensure seamless user experiences.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field (or equivalent industry experience).
- Experience: 5+ years of professional experience in software engineering or machine learning.
- Programming: Proficiency in Python, C++, and experience with deep learning libraries (PyTorch, TensorFlow, JAX).
- Core Knowledge: Strong understanding of machine learning fundamentals, neural networks, natural language processing (NLP), and vector databases.
- Tools: Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.