Senior AI Platform Software Engineer

Design and implement high-performance RESTful or GraphQL APIs to expose AI model functionality to front-end applications and external services.

Integrate Large Language Models (LLMs) and custom machine learning models into backend architectures, often using frameworks like LangChain, LangGraph, or FastAPI.

Build and maintain data ingestion pipelines and vector databases (e.g., Pinecone, Weaviate) to support Retrieval-Augmented Generation for AI agents.

Deploy and orchestrate containerized services using Docker and Kubernetes on cloud platforms like AWS, GCP, or Azure.

Implement real-time monitoring and alerting for AI system health, including tracking model performance, latency, and drift.

Design testing strategies for non-deterministic AI outputs, including the implementation of guardrails and safety constraints. 

Own the full development lifecycle for services in a production SaaS environment. This includes establishing automated code coverage goals, rigorous code reviews, defining SLOs, and ensuring a fast and effective incident response process 

Works as part of a team. 

Read and follow the Underwriters Laboratories Code of Conduct, and follow all physical and digital security practices

Performs other duties as directed.