Design and build core AI Hub platform services, APIs, SDKs, and runtime components
Implement shared platform controls including authentication, authorization, policy enforcement, rate limiting, audit logging, and tenant isolation
Develop integration patterns for model providers, retrieval systems, tool registries, and orchestration frameworks
Build production-grade services for AI request routing, session and context handling, tool invocation, and response assurance
Partner with architecture, security, cloud, and product teams to define standardized approaches for AI delivery
Improve platform reliability, scalability, cost efficiency, and operational transparency
Contribute to engineering standards for testing, deployment, telemetry, and secure software development for AI workloads

Requirements

7-12 years of software engineering experience with distributed systems, APIs, and cloud-native platforms
7-12 years experience building or supporting shared platforms or internal developer platforms
7-12 years experience using Java, Python, or similar backend programming languages
5+ years experience with cloud services, containers, event-driven architectures, and service integration patterns
2-3 years of experience with AI/LLM system building blocks such as model gateways, vector retrieval, tool calling, or agent orchestration

Benefits

401K matching
health benefits
employee stock options
paid time off
volunteer time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaPythonAPIscloud-native platformsdistributed systemsevent-driven architecturesservice integration patternsAI/LLM system building blocksmodel gatewaysvector retrieval

Soft Skills

collaborationcommunicationproblem-solvingorganizational skillsleadership