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Tier-1 brand, metro location, popular AI title but niche GenAI platform skills reduce applicant density.
Requires specialized GenAI platform and LLMOps expertise, limiting cross-industry transferability.
Many mandatory technical filters: GenAI platform, cloud, Kubernetes, vector DBs, and security expertise.
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Design, build, and operate foundational GenAI platform services including a multi-provider LLM gateway, guardrails, retrieval, agentic infrastructure, and observability systems.
Drive technical direction and architecture for scalable, resilient, secure platform offerings across AI/ML components by making build-vs-buy decisions and defining API contracts.
Lead by example through hands-on development, code review, mentorship, and collaborating with stakeholders to translate requirements into a platform roadmap.
Strong proficiency in Python and familiarity with at least one of Go, Java, or TypeScript for service/tooling development.
Hands-on experience building LLM-powered systems in production including API integration, RAG pipelines, prompt orchestration, or agentic workflows.
Practical experience with cloud platforms (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced platform engineer skilled in backend/distributed systems for production GenAI infrastructure, focusing on security, governance, and reliability.
Demonstrated technical leadership in architecture and delivery of complex AI/ML platform systems with practical knowledge of observability, cost management, and model evaluation.
Comfortable operating in ambiguous environments with long-term vision, driving engineering standards and collaborating across global teams, including US and India.