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Tier-1 brand and metro location but niche senior GenAI specialization reduces applicant density.
Highly domain-specific GenAI platform and MLOps expertise limit easy cross-industry transferability.
Explicit 10+ years and mandatory GenAI platform, cloud, Kubernetes, and language skills enforce strict filters.
Design and build reusable Generative AI platform services, pipelines, and APIs supporting multiple teams and use cases.
Develop and operate production-grade AI agents using patterns like LangGraph and multi-agent systems.
Set technical direction for agent evaluation, operations, security, governance, and architect platforms balancing reliability, latency, quality, and cost.
10+ years of software engineering experience including scalable backend or platform systems in distributed environments.
Hands-on experience designing and developing production-grade Generative AI or AI-agent systems.
Proficiency in Python and at least one other production language (Java or Kotlin).
Based in Gurgaon with regular in-person collaboration; experience with AWS, Docker, Kubernetes, CI/CD, and cloud-native distributed systems.
Experienced in building and operating advanced AI platforms with reusable GenAI pipelines and intelligent model-routing.
Able to lead technical direction and mentor engineers across globally distributed teams, setting engineering practices for reliability and security.
Platform-focused mindset prioritizing shared success, developer productivity, and cost management across multiple engineering domains.