26 to 50 of 270 Remote/Hybrid OpenAI Jobs

Academic publications, preprints, or open-source contributions. Experience building and deploying AI agents and agentic workflows using open-source frameworks (e.g. LangGraph, Pydantic AI, OpenAI Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol ...

with low-code/no-code platforms (e.g. n8n, Copilot Studio), MCP, LLM observability tools (e.g. Langfuse), or managed model APIs (Azure AI Foundry, OpenAI, Anthropic).Modern development practices. Familiarity with any of: Docker, Terraform, CI/CD pipelines, Git.Agent orchestration frameworks. Experience with LangChain, Semantic Kernel, AutoGen or similar ...

tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

GitOps via Argo CD and Flux Cloud & Orchestration: AWS, Azure, Docker, Kubernetes AI Inference & Application Infrastructure: Frontier and open-weight models via Anthropic, Azure OpenAI, and Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration ...

working with Generative AI and LLM-based applications (e.g., agents, embeddings, prompt design, RAG architectures).* Familiarity with leading AI platforms and models (e.g., OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar cloud AI services).* An understanding of how to design and orchestrate AI-driven workflows or automation solutions ...

with APIs, databases, and cloud-based applications. Interest in AI tooling and LLM-based applications, including personal or academic projects using tools such as OpenAI APIs, LangChain, RAG pipelines, or similar frameworks. Strong problem-solving skills and willingness to learn quickly. Good communication and collaboration skills. Excited by building practical ...

plan creation, coding agents, automated code review, gated workflows and audit evidence. Exposure to platforms and tools such as Microsoft Foundry, Azure AI, Azure OpenAI, GitHub Enterprise, GitHub Actions, Claude, CodeRabbit, Microsoft Entra ID, Intune, Purview, Azure Monitor or similar enterprise tooling. Experience working with fintechs, hyperscalers, technology partners, analyst ...

plan creation, coding agents, automated code review, gated workflows and audit evidence. Exposure to platforms and tools such as Microsoft Foundry, Azure AI, Azure OpenAI, GitHub Enterprise, GitHub Actions, Claude, CodeRabbit, Microsoft Entra ID, Intune, Purview, Azure Monitor or similar enterprise tooling. Experience working with fintechs, hyperscalers, technology partners, analyst ...

Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation (Docker, Kubernetes ...

LangChain, LangGraph, MLflow, or workflow orchestration tools (e.g., n8n) (hands‐on experience preferred, but deep ML expertise not mandatory) Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications Familiarity with at least one major cloud provider (AWS, GCP, or Azure) What we’ll provide you By joining ...

infrastructure building blocks and platform services that accelerate agentic solution delivery across teams Your profile Hands-on experience with Azure cloud infrastructure: AKS, Azure OpenAI, Azure Foundry, Azure ML, Azure Container Apps, Azure Data Factory Strong infrastructure-as-code practice with Terraform and/or Bicep Proven experience building ...

LangChain, LangGraph, MLflow, or workflow orchestration tools (e.g., n8n)** *(hands‐on experience preferred, but deep ML expertise not mandatory)** Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications* Familiarity with at least one major cloud provider (**AWS, GCP, or Azure**)This job description provides a high-level ...

management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow;3-5+ years ...

orchestration, multi‐agent patterns and skills/plugin development. Experience with cloud‐based AI, data, identity and governance services, ideally including Azure AI, Azure OpenAI, Microsoft Entra ID, Microsoft Purview, Microsoft Graph or comparable enterprise cloud services. Practical knowledge of AI governance, responsible AI and security, including data protection, identity ...

FastAPIFamiliarity with PostgreSQL, Redis, and REST API design and integrationExperience with test-driven development and CI/CD workflowsExperience integrating AI technologies such as OpenAI, LangChain, or RAG pipelinesUnderstanding of authentication and authorization approaches including OpenID and SAMLExperience deploying cloud-native services on AWS with containerized infrastructure and KubernetesExperience with ...

adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want you to dive in, get your hands dirty, and figure things out, but also to be someone your ...

large enterprise codebases you will drop into (C#/.NET, Java) Model providers: hands-on production work with at least 2 of Anthropic, OpenAI, Google, and open-weight models (direct APIs or via Azure AI Foundry, Bedrock, Vertex); tool use and function calling, structured outputs, context and token management, prompt ...

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work … enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer you will join our OpenAI engineers and researchers in building, operating and securing transformational AI technologies. This role will focus on all aspects of Detection & Response, including infrastructure and operations ...

customer problems Desirable Experience Experience with some of the following would be advantageous: Microsoft Azure/Azure AI Microsoft Copilot/Copilot Studio Azure OpenAI OpenAI APIs Python PowerShell Power Automate Machine Learning RAG (Retrieval-Augmented Generation) AI agents and automation API integrations Microsoft 365 Cybersecurity and AI governance What ...

step workflow orchestration • Retrieval-Augmented Generation (RAG) design and implementation • Document processing and knowledge extraction systems • Working with foundation models via API (e.g. Azure OpenAI, OpenAI) • Prompt engineering for structured, grounded, and reliable outputs • Context management, chunking strategies, and retrieval optimisation • Hallucination mitigation and source attribution by design• Experience building ...

Python, SQL, and modern data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience ...

building and deploying production applications within Microsoft Azure. Exposure to building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar. Understanding of RAG, LLMs, vector search and agentic AI concepts. Experience integrating applications with APIs, cloud services and enterprise ...

governance processes.Strong understanding of cloud platforms, enterprise integration, security and identity management.Excellent stakeholder engagement and communication skills.Desirable ExperienceFinancial services or other highly regulated sectors.Azure OpenAI and enterprise GenAI platforms.Semantic search, vector databases and knowledge architecture.Microsoft Graph, SharePoint and collaboration platform integrations.Knowledge of AI governance, GDPR, EU AI Act and operational ...

cloud platforms, enterprise integration, security and identity management. Excellent stakeholder engagement and communication skills. Desirable ExperienceFinancial services or other highly regulated sectors. Azure OpenAI and enterprise GenAI platforms. Semantic search, vector databases and knowledge architecture. Microsoft Graph, SharePoint and collaboration platform integrations. Knowledge of AI governance, GDPR ...

multimodal AI Strong product judgment and the ability to work with limited direction Ability to move quickly while maintaining high engineering standards Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such ...