Lead enterprise AI platform development by defining architecture, model-serving strategy, and engineering standards. Build production-grade AI systems, scalable APIs, LLM integrations, RAG pipelines, and agentic workflows. Responsibilities include testing, documentation, deployment, optimization, team mentoring, collaboration, and continuous learning, with ownership and complexity increasing according to experience.
Role Summary
Responsibilities
Focus: Lead enterprise AI platform
development, define architecture, drive model-serving strategy,mentor teams,
establish standards.
Ownership and complexity increase with
experience while retaining focus on building production-grade AI systems, scalable APIs, LLM integrations, RAG pipelines, agentic workflows, testing, documentation, deployment, optimization,
collaboration, and continuous learning.
Strong Python skills appropriate to experience level, backend/API development, AI/LLM exposure,
cloud-native development, and software engineering best practices.
Ownership, code quality, curiosity, speed
with quality, collaboration, and production mindset.
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