Job Description
Are you ready to architect the future of intelligent systems? 2026 is seeking a visionary Senior AI Engineer to join our elite engineering team in San Francisco. We are at the forefront of Generative AI and Large Language Model deployment, and we need a technical leader to drive our next-generation product suite.
In this pivotal role, you will not only write code but define architectural standards for scalable, high-performance AI solutions. You will work in a fast-paced environment where your insights directly impact millions of users. If you are passionate about pushing the boundaries of what's possible with Machine Learning and Cloud Infrastructure, we want to hear from you.
Why join 2026?
In this pivotal role, you will not only write code but define architectural standards for scalable, high-performance AI solutions. You will work in a fast-paced environment where your insights directly impact millions of users. If you are passionate about pushing the boundaries of what's possible with Machine Learning and Cloud Infrastructure, we want to hear from you.
Why join 2026?
- Competitive compensation and equity packages.
- Work with state-of-the-art hardware and cloud infrastructure.
- Flexible remote-first culture with a collaborative office in SF.
Responsibilities
- Architect, develop, and deploy scalable machine learning models and NLP pipelines using Python, TensorFlow, and PyTorch.
- Optimize existing algorithms for high throughput and low latency in production environments.
- Collaborate with cross-functional teams (Product, Data Science, Design) to translate business requirements into technical solutions.
- Implement and maintain robust CI/CD pipelines and containerization strategies using Docker and Kubernetes.
- Mentor junior engineers, conduct code reviews, and foster a culture of technical excellence and continuous learning.
- Ensure data privacy, security, and compliance with industry standards.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
- 5+ years of professional experience in software engineering, with at least 2 years focused on Machine Learning or AI.
- Deep proficiency in Python and experience with major ML frameworks (scikit-learn, PyTorch, TensorFlow).
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and serverless architecture.
- Experience with vector databases (e.g., Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) architectures.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.