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Expertise in Generative AI / LLMs, including GPT-based models, RAG, multimodal AI, and agentic frameworks
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Robust hands-on with Python, AI/ML frameworks, orchestration, and prompt engineering
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Experience architecting and deploying cloud-native solutions (AWS / Azure / GCP)
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Proven experience in architecting end‑to‑end GenAI applications, including data pipelines, model serving, and vector databases.
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Experience with RAG pipelines and agentic AI workflows.
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Strong software architecture background across microservices, APIs, and distributed systems.
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ML knowledge and hands-on experience
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Cloud engineering, embedded/application software architecture experience
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Experience with AI governance, compliance (HIPAA, GDPR, EU AI Act), particularly relevant for medical/regulated domains
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Customer interaction skil
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Communication skill
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Quick learner and versatile adapt to recent technologies
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