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