1 to 25 of 489 OpenAI Jobs in London

develop AI/GenAI applications, Agentic AI workflows, and RAG-based solutions.Build scalable Python services, APIs, and AI orchestration components.Implement solutions using Azure OpenAI, OpenAI, AWS Bedrock, Vertex AI, and open-source LLMs.Develop and optimize RAG pipelines, vector databases, and semantic search capabilities.Collaborate with cloud, data, DevOps, and architecture teams … hands-on experience with Python, Generative AI, Agentic AI, LLMs, and RAG architectures.Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks.Expertise in Azure OpenAI, OpenAI, AWS Bedrock, Vertex AI, or open-source LLM ecosystems.Knowledge of REST APIs, microservices, cloud platforms (Azure/AWS/GCP), Docker, Kubernetes ...

good understanding of GenAI prompt engineering, RAG pipelines, Supervised/unsupervised ML and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS). Experience in designing and scaling GenAI chatbots. Experience in Agentic AI solutions. Good knowledge ...

ability to work in client-facing delivery environments. Background in solution design, enterprise architecture, or technical consulting. Desirable Skills Experience with LangChain, LlamaIndex, Azure OpenAI, AI Foundry, GPT-4, Claude, LLaMA, Hugging Face, MLflow, Airflow, KServe, FAISS, Chroma, or similar technologies. Experience designing multi-agent workflows and autonomous LLM integrations. ...

model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection. Expertise in cloud‐native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures. Experience implementing MLOps and LLMOps practices, including CI/CD, model lifecycle management, governance ...

shaping enterprise AI architecture, standards and governance while building innovative AI solutions that deliver business value. Working hands-on with Azure AI Foundry, Azure OpenAI, Claude and open-source large language models, you'll design and deploy enterprise-scale AI products using agentic AI, RAG, vector search and machine learning … minimum, we are looking for: AI & GenAI Platform Leadership – Excellent experience designing and delivering AI solutions using Azure AI Foundry, Azure OpenAI, OpenAI, Azure AI Search, Claude and open-source LLMs, driving adoption across enterprise platforms. Engineering Leadership & Delivery – Deep software engineering expertise, strong Python skills, and hands-on delivery ...

OpsStrong experience with Azure and/or AWS cloud platforms.Hands-on experience supporting AI, ML or Generative AI solutions in production.Knowledge of Azure OpenAI, Azure AI Services, Amazon Bedrock and/or SageMaker.Understanding of LLMs, RAG architectures, AI Agents and modern AI patterns.Experience in Platform Engineering, DevOps and cloud operations.CI ...

Pinecone, Weaviate, FAISS, Azure AI Search). Hands‐on experience with AWS Bedrock and Sagemaker would be highly desirable Experience with GenAI platforms (e.g., OpenAI API, Anthropic, Gemini, Llama or equivalents). Exposure to big data/distributed computing and pipeline/feature engineering. LLM safety & governance (hallucination mitigation, grounded ...

strong fundamentals in data structures, algorithms, and system design Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API) Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure Strong problem-solving skills with the ability to navigate ambiguous requirements ...

prompt engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. Responsible ...

Foundry and cloud-native servicesBuild and maintain robust data pipelines using modern data engineering practices and streaming technologiesDeploy AI applications and services using Azure OpenAI, Azure AI Foundry, Databricks AI tools and DockerDesign and execute evaluation frameworks to measure model quality, accuracy, reliability and reproducibilityImplement CI/CD pipelines, testing ...

Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such as OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related ...

Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such as OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related ...

practices: design, testing, code review, CI/CD, Git & GitHub Hands‐on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol) Practical experience building RAG/LLM‐based pipelines and working with ...

genuinely used, rather than pilots. Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel,LangChain,LangGraph,AutoGenorCrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented generation. Experience with workflow and process ...

methodologies and modern software delivery practices AI Fluency - Experience or familiarity with integrating AI-powered capabilities into software applications, including LLM APIs such as OpenAI, AWS Bedrock, Anthropic, or similar platforms. Understanding of concepts such as prompt engineering, retrieval-augmented generation (RAG), AI agents, and responsible AI practices, with ...

ideally FastAPI Docker and containerisation CI/CD pipelines and automated testing Infrastructure as Code, ideally Terraform Production monitoring, troubleshooting and support Desirable: Azure OpenAI and Azure AI Search LangChain, LangGraph or agentic AI frameworks Kubernetes and Azure Machine Learning Document ingestion and vector search pipelines Please apply ...

with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI/AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration, tool use, prompt design and LLM limitations Strong ...

delivery, ensuring the proposed solution is built to the agreed architecture and quality standards Core Technical Skills Hands‐on experience with LLMs such as OpenAI GPT, Claude, Gemini or Mistral Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise ...

analytics or AI solutions. Hands‐on experience with modern enterprise data and AI platforms, such as Databricks, Palantir Foundry, Microsoft Fabric, Azure AI, Azure OpenAI, Snowflake, Dataiku or equivalent. Practical knowledge of Generative AI, Large Language Models, Retrieval Augmented Generation, Agentic AI, multi‐agent systems, machine learning or predictive analytics. ...

have); serverless architectures; sandboxes and enclaves; GitOps and CI/CD pipelines; and GenAI, LLMs, and agentic frameworks, APIs and SDKs (such as Anthropic, OpenAI, Google Gemini, Jev, LangChain, LangGraph, PydanticAI); agent sandboxes and enclaves; agent harnesses; and agent memory substrates. Education A degree in a STEM subject: an undergraduate ...

Search and MongoDB, including design of indexing strategies, hybrid search configurations, and retrieval evaluation. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, engineers, and other stakeholders to scope and deliver AI features that address real … enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands‐on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar. Experience with FastAPI or comparable Python web frameworks. Production experience with Docker and Kubernetes, including deployment and management on AKS. Strong ...

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review … security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured ...

cloud-native architecture, microservices, and event-driven integration patterns. Experience with Azure Service Bus, Event Grid, or similar cloud messaging platforms. Familiarity with Azure OpenAI and AI-enabled cloud architectures is highly desirable.AI-Assisted Development Hands-on experience with AI-assisted development tools such as GitHub Copilot, GitLab Duo, Cursor ...

cloud-native architecture, microservices, and event-driven integration patterns. Experience with Azure Service Bus, Event Grid, or similar cloud messaging platforms. Familiarity with Azure OpenAI and AI-enabled cloud architectures is highly desirable. AI-Assisted Development Hands-on experience with AI-assisted development tools such as GitHub Copilot, GitLab ...

Delta Live Tables/DLT, Spark Structured Streaming, or Autoloader). Cloud & Model Ecosystem: Broad exposure to Azure cloud environments (Azure AI Foundry, Azure OpenAI) or Databricks Mosaic AI ecosystem. Code Craftsmanship: Advanced Python (modular OOP, Pydantic, design patterns) and strong SQL capabilities. Education: Degree or advanced degree (BSc/ ...