Sr Staff ML Forward Deployed Engineer, Enterprise GenAI
Builds and scales enterprise Generative AI products across backend, frontend, and ML systems, owning major product areas from concept through production. The role requires 7+ years of engineering experience and expertise with LLMs, vector databases, cloud platforms, and Kubernetes.
About the job
Responsibilities
- Own large new areas within the product.
- Work across backend, frontend, LLMs, and ML models.
- Deliver experiments at high velocity and quality to engage customers.
- Work across the entire product lifecycle, from conceptualization through production.
- Multitask and learn new technologies quickly.
Requirements
- 7+ years of full-time engineering experience post-graduation.
- Experience scaling products at hyper-growth startups.
- Experience tinkering with or productizing LLMs, vector databases, and other modern AI technologies.
- Proficiency in Python or JavaScript/TypeScript and SQL.
- Experience with Kubernetes.
- Experience with major cloud providers, including AWS, Azure, or GCP.
Skills
Python, JavaScript, TypeScript, SQL, Kubernetes, AWS, Azure, GCP, LLMs, Vector Databases, Machine Learning, Distributed Systems
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