Own design, delivery, and operation of AI/ML platform services for LLM workflows.
Enable productionization of model-driven automation and agent workflows across teams.
Define production standards and system patterns for reliability and cost efficiency.
Focus on intelligent systems engineering, MLOps, workflow orchestration, observability, governance.
Build scalable systems to optimize complex, multi-step business workflows.

🎯 Requirements

12+ years in software engineering with large-scale distributed systems.
Experience designing AI/ML or model-driven systems in production.
Hands-on with LLMs and generative AI, including prompts and prod integration.
Strong Python and backend services; TypeScript/Node expertise.
Experience with cloud platforms (GCP or AWS), Kubernetes, IaC.
Experience building data pipelines and workflow orchestration (batch/streaming).

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