Building AI systems and fixing AI-generated apps before they collapse in production.
Working with agentic AI, RAG pipelines, AI orchestration, and startup MVP scaling at IT Path Solutions.
The rise of the AI Engineer role makes a lot of sense. As models become more capable, the real challenge shifts from model selection to building reliable systems around them context management, evaluations, observability, orchestration, security, and production readiness. Shipping AI products is increasingly an engineering discipline rather than a research problem, and that's where the biggest long-term opportunities are.
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The rise of the AI Engineer role makes a lot of sense. As models become more capable, the real challenge shifts from model selection to building reliable systems around them context management, evaluations, observability, orchestration, security, and production readiness. Shipping AI products is increasingly an engineering discipline rather than a research problem, and that's where the biggest long-term opportunities are.