Senior AI Engineer to lead the development of cloud-based commercial AI products. Architect and develop high-performance backend services and APIs using Python. Collaborate with infrastructure teams to define deployment strategies.
Requirements
- 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
- Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
- Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
- Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
- Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
- Experience in Typescript development for prototyping and integrations.
- Proficiency with git workflows and understanding of standard application development processes.
Benefits
- Net-zero cost medical option
- Company contributions to your HSA
- Fertility support
- Fully-paid parental leave
- Monthly stipend for your lifestyle spending account