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Tier-1 employer and Bangalore metro raise competition, but niche GenAI platform skills reduce applicant density.
Platform engineering skills are transferable, but specialized GenAI and vector DB experience moderately limit industry portability.
Role mandates specific GenAI platform, cloud, Kubernetes, and language proficiencies, making screening stringent.
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Own design, development, and operation of a provider-agnostic GenAI platform including LLM gateway, governance, retrieval infrastructure, and observability systems at enterprise scale.
Drive technical architecture and lead engineering standards through hands-on coding, mentorship, design review, and decision-making for scalable, secure platforms.
Partner with internal stakeholders to translate requirements into a roadmap and deliver platform capabilities enabling internal engineering and business teams.
Strong proficiency in Python and comfort with at least one of Go, Java, or TypeScript.
Hands-on experience building and operating production LLM-powered systems and platform APIs with cloud platform knowledge (AWS, GCP, Azure), containerization (Docker, Kubernetes), and CI/CD.
Solid experience with GenAI ecosystem components including vector databases, orchestration frameworks, and knowledge of LLMOps concerns such as observability and cost control.
Work Experience Required: Not explicitly mentioned in the JD. Location: Bangalore, shift 11:00 pm - 8:00 pm.
Experienced technical leader able to drive architecture and deliver complex GenAI platform systems end-to-end in a regulated industry environment.
Operationally strong with expertise in production backend and distributed systems, committed to security and reliability best practices and governance.
Comfortable working in ambiguous and opinionated environments, setting engineering culture and long-term technical vision for internal platform users.