AI tools, product development life cycle, spec drafting, Rapid Prototyping, low-code tools, metrics dashboards, data exploration, research synthesis

Kubernetes, Python, Docker, LangChain, RAG systems, LLM API integrations, AI observability tools, prompt engineering, cloud platforms, LangGraph

Microservices, FastAPI, Python, LangChain, distributed AI systems, vector databases, semantic retrieval, Azure OpenAI, AI system observability, Azure AI Foundry, LangGraph, RAG pipelines, Azure AI Search

Scripting, Python, Tco, LLMs, MoE, power performance, vector databases, multimodal AI, end-to-end system KPIs, advanced AI workloads

MongoDB or equivalent NoSQL, Embedding models and semantic similarity, RAG pipeline design and vector search, LLM API experience, Agentic pipeline design, Async Python, Git code reviews CI CD basics, Classification systems with large label spaces, Evaluation framework design for LLM systems, Document AI PDF parsing, Production-grade Python

data retention , SCCS, AI Privacy and Data Protection Laws, international data transfer processes, e-privacy compliance, privacy and AI risk assessments, Contract Negotiation, privacy by design principles, Data Mapping, DPIAs

Generative AI, Compliance and security standards in AI operations, Prompt Engineering, Cloud-native services, Monitoring tools for performance assessment

Typescript, Javascript, Azure Functions, Python, LangChain, knowledge graphs, Azure OpenAI Service, context graphs, Pinecone, Azure Container Apps, prompt engineering, LangGraph, LLM evaluation strategies, Azure AI Search, Weaviate

Machine Learning, Python Programming, Frameworks, LLMs, RAG, scalable AI