containerization , Version Control, Testing, API design, Python, CrewAI, LangChain, AWS Bedrock, Anthropic Claude APIs, Strands SDK, large language model orchestration, prompt engineering, LangGraph, AI system architecture, infrastructure-as-code

Python

Servicenow, Datadog, Python, AWS, Workato, Gcp, Slack, Mulesoft, Splunk, Azure, Rest Api, Code, LangGraph, GitHub Actions, MCP frameworks, Teams, zendesk, Salesforce, LangChain, NotebookLM, Gemini Enterprise, Claude, LangSmith

containerization , LLM APIs (OpenAI, Version control (Git), Azure AI), Rest API Development, Python, Ground truth dataset design, Prompt engineering, Clean Architecture, AI agent orchestration, AWS or similar cloud platforms, LLM evaluation, Anthropic, CI/CD practices

Version Control, Testing, Python, RAG multi-agents, API-based LLMs, ML DL frameworks and libraries, Modularity, Software engineering fundamentals

Api Development, Tensorflow, Pytorch, Gcp, Azure, Python, Etl, AWS, LangChain, Airflow, data pipelines, LLMs, model deployment, Hugging Face, Scikit-learn, MLflow, prompt engineering, Kubeflow, LlamaIndex

TigerGraph, Gcp, Docker, Neo4j, Azure, Python, AWS, CrewAI, LangChain, Qdrant, LLM integration, Vector DBs, Pinecone, CI CD, LangGraph, GraphRAG, FAISS, Amazon Neptune, Weaviate, Knowledge Graphs

AWS, Pytorch, Tensorflow, Python, Azure, Gcp, LangChain, data pipelines, AI ML frameworks, model optimization, parameter tuning

API development and integration, Python, Agentic frameworks or orchestration patterns, Common LLM failure modes and mitigation techniques, Tool calling and action execution, Generative AI and LLMs, CI CD and modern DevOps practices

Tensorflow, Gcp, Pytorch, Azure, Python, AWS, LangChain, data pipelines, parameter tuning, model optimization, AI ML frameworks