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Strong employer brand and metro location increase competition, but seniority and niche GenAI focus moderate applicant density.
Highly domain-specific GenAI platform and MLOps requirements limit cross-industry transferability.
Explicit 10+ years requirement plus mandatory GenAI, cloud, and platform skills make filters highly strict.
Design and develop reusable Generative AI platform services, pipelines, and APIs supporting multiple teams and use cases.
Build and operate production-grade AI agents using agentic patterns like LangGraph and deep-agent.
Set technical strategy for AI agent evaluation, security, governance, model-routing, and large language model gateway platforms balancing reliability and cost.
10+ years professional software engineering experience building scalable backend or platform systems in high-traffic distributed environments.
Hands-on experience designing and developing production-grade Generative AI or AI-agent systems.
Proficiency in Python plus at least one other production language (Java or Kotlin).
Experience with cloud-native architectures, distributed systems, microservices, data pipelines, AWS, Docker, Kubernetes, CI/CD, and database/caching technologies.
Experienced technical leader capable of setting technical direction and influencing globally distributed teams in complex AI platform environments.
Deep expertise specifically in Generative AI platforms including MLOps, model evaluation, routing, inference optimization, and platform cost management.
Strong platform and infrastructure mindset focused on reliability, security, developer productivity, and cross-team collaboration within large organizations.