Senior AI Platform Developer

Role overview The Senior AI Platform Developer leads the design and operation of production-grade AI platform capabilities that product engineers reuse to build, deploy, evaluate, and govern AI agents. The role sets technical direction for a shared agent ecosystem that must be secure, observable, testable, and ready for production scale.

Responsibilities - Drive end-to-end ownership of complex AI platform initiatives from design through production operation. - Build and operate platform services for agent orchestration, runtime execution, tool integration, lifecycle management, evaluation, observability, and governance. - Create shared components such as agent catalogs, workflow builders, Agent IAM, evaluation frameworks, prompt and configuration management, guardrails, retrieval services, and observability tooling. - Develop reusable APIs, SDKs, templates, reference implementations, and documentation for AI agent development. - Make pragmatic architecture decisions balancing speed, safety, scalability, maintainability, governance, and cost. - Define standards for deployment, monitoring, evaluation, access control, cost management, and responsible AI practices. - Partner with application, security, data, and product teams while mentoring developers and raising the technical bar.

Requirements - Ten or more years of hands-on experience building and operating production SaaS products. - Strong background in backend, platform, AI infrastructure, or agent infrastructure services. - Experience designing distributed systems, APIs, cloud-native services, and developer-facing capabilities for internal teams. - Hands-on work with modern AI/LLM infrastructure such as agent orchestration, retrieval, tool calling, evaluation pipelines, Agent IAM, observability, model gateways, or responsible AI guardrails. - Understanding of how to ship AI systems that are secure, observable, testable, governed, reliable, and cost-aware in production. - Strong collaboration skills across product, engineering, security, data, and application teams, plus demonstrated ability to mentor other developers.

Nice to have - Familiarity with the surrounding stack, including Azure AI services, LangGraph, Python, Node.js, TypeScript, Angular, semantic and vector search, RBAC, secrets management, and audit logging.

Benefits and work setup The position offers flexible remote work within the constraints of the role, a recurring hybrid work allowance, a complete group insurance plan from day one, an annual wellness allowance, telehealth access, four to six weeks of paid vacation, and flexible hours.