Ibm Cloud, Linux System Administration, Tensorflow, Jenkins, Pytorch, Gcp, Docker, Terraform, Ansible, Openshift, Shell scripting, Azure, Kubernetes, Python, AWS, Golang, Generative AI, vLLM, GitHub Actions, Podman

Azure Cloud Services, Python, LangChain, AI Agents, GenAI Prompt Engineering, LLMs, vector databases, Pinecone, Azure OpenAI, Semantic Kernel, FAISS, RAG, ChromaDB

Neo4j, Python, embeddings, AgentCore, AWS Bedrock, knowledge graphs, re-ranking, chunking strategy, prompt-library version-management, Veeva Vault, prompt engineering, RAG engineering, LangGraph, vector stores, VQL, Vault REST API, grounding

Java, Sql, Pytorch, Docker, Azure, Kubernetes, Python, AWS, LangChain, Scikit-learn, Go, MLflow, Claude, CI CD, GPT, Vector Databases, Agentic AI, Llama, RAG, Fine-tuning, Prompt Engineering

Model Context Protocol (MCP) integrations, Monitoring, Python asynchronous programming, and evaluation techniques for AI applications, Application integration patterns, Observability, FastAPI or similar backend development frameworks

Machine Learning, Git, Docker, Pyspark, Python, Sql, DataFrame APIs

test automation, Jenkins, Typescript, Python, Test Architecture, Playwright, API contracts, prompt engineering, service boundaries, GitHub Actions, LLM applications, RAG, backend code, context retrieval agents

react.js , Node.js, Tensorflow, Gcp, Pytorch, FastAPI, Azure, AWS, LangChain, deep learning models, vLLM, prompt engineering, RAG document processing, model evaluation, AI-driven workflows, Ollama, information extraction, LlamaIndex, machine learning models