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Showing 9 jobs
Skills:
Llama), LLMs (GPT, Weaviate), vector databases (FAISS, Orchestration, Docker, Python, AWS, React, Gcp, MLops, Kubernetes, Prompt engineering, multi-agent orchestration, tool-using AI agents, Azure OpenAI, RAG pipeline development, Plan-and-Execute, Multi-Agent Systems, Pinecone, LangChain, CrewAI, Generative AI, Agentic AI development, Claude, LLMOps, Semantic Kernel, AutoGen, CI/CD
Skills:
Apis, Docker, Cloud Infrastructure, Python, LLM tool calling, RAG embeddings, LLM-powered applications, vector search and retrieval strategies, scalable architectures
Skills:
cloud platform , Monitoring Tools, Prometheus, Grafana, Datadog, Microservices, Docker, Terraform, Authentication, full stack development, Sql, Application Security, Containers, Rest Apis, Kubernetes, vector databases, backend language, Relational Databases, AI products, modern frontend technology, model deployment, LLM apps, Caching, CI CD pipelines, AI agents
Skills:
Jenkins, Typescript, Python, Test Architecture, GitHub Actions, Playwright, AI coding tools, LLM experience, prompt engineering, context retrieval agents
Skills:
Test Strategy, Defect Management, Browserstack, Postman, quality engineering, microservices architecture, Playwright, orchestration tooling, LLM evaluation frameworks, AI coding test generation, full stack engineering
Skills:
large language models (LLMs), multi-agent workflows, embedding-powered retrieval solutions, GenAI-based systems
Skills:
Nlp, Distributed Systems, Cursor, GitHub Copilot, LLMs
Skills:
large language models (LLMs), Python, Sklearn, FastAPI, LangChain, CrewAI, Hugging Face Transformers, generative AI solutions, Plotly, Vapi, TRL, Salesforce AgentForce, Google Agent SDK, OpenAI Agent SDK, Microsoft Copilot, Dialogflow
Skills:
software engineering practices , Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG), Apis, Microservices, MLops, Python, AI development frameworks, LLMOps, architecture patterns, semantic models, prompt engineering, cloud environments, agentic AI architectures, DataOps, knowledge and context graphs, CI/CD, modern AI methodologies, cloud-native development
