About this role
Enterprises struggle to harness generative intelligence securely and effectively, and this role solves that challenge by building trustworthy AI agents and enterprise-grade large language models. The engineering team creates scalable applications that unite IT and business operations, allowing major global brands to automate workflows grounded safely in proprietary company data.
As an AI engineer based out of the San Francisco, New York City, or Seattle hubs, you will architect production-ready systems and translate complex machine learning research into practical business solutions. You will collaborate daily with product managers and research scientists while championing responsible practices around bias detection and safety alignment. Ideal candidates are hardworking builders who thrive in fast-paced environments, possess a deep technical foundation in natural language processing, and take full ownership of their projects from inception to deployment.
What you will do
- Architect, develop, and deploy scalable AI applications into production environments to integrate seamlessly with the platform.
- Drive the creation of intelligent agents by turning complex research into practical customer solutions.
- Partner with research scientists, data scientists, and product managers to define technical requirements and address business needs.
- Evaluate emerging AI technologies, tools, and frameworks to maintain product leadership.
- Champion responsible AI practices such as bias detection, explainability, and safety alignment.
What you need
- Bring five or more years of professional experience building and deploying machine learning or AI systems in production.
- Demonstrate proficiency in Python alongside practical experience with frameworks like PyTorch, TensorFlow, or JAX.
- Possess a strong foundation in machine learning principles, deep learning architectures, and natural language processing with large language models.
- Show hands-on experience using cloud platforms and MLOps tools for managing the complete AI lifecycle.
- Write clean, efficient, and well-tested code for scalable software systems.
Benefits
- Generous PTO plus company holidays
- Medical, dental, and vision coverage for employees and families
- Paid parental leave of 16 weeks for all parents
- Fertility and family planning support
- Annual work-life stipends for wellness and learning
- Competitive compensation, company stock options, and 401k
Skills and tech stack
Questions candidates ask
Where is this job located?
This role can be hybrid in the San Francisco, New York City, or Seattle office hubs.
Who does this position report to?
You will report directly to the head of AI engineering.
What compensation is provided?
The salary range is $198K to $259K, and the position includes offers for equity as well as a 401k.