26 to 50 of 269 Remote/Hybrid OpenAI Jobs

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 ...

Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

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 ...

style tool patterns Strong Python, with a track record of production-grade workflows Experience with at least one cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or Anthropic Working knowledge of semantic modelling, ontologies or knowledge graphs Ability to turn open-ended business problems into working prototypes quickly ...

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 ...

cleansing, transformation, embedding, indexing and retrieval pipeline design. Integration across cloud AI services (e.g. GCP + Vertex AI , Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API‐led landscape; with preference for GCP and Vercel , or suitable equivalents on AWS and Azure, and the capability ...

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 ...

what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform – enabling ...

what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform – enabling ...

what works, what scales, and what’s next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform – enabling ...

what works, what scales, and what’s next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform – enabling ...

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 ...

This includes complex queries, joins, indexing, and query optimization. Desirable Skills: Knowledge of NoSQL databases (MongoDB, DynamoDB) Exposure to Generative AI and LLM integration (OpenAI, Claude, Bedrock) in enterprise applications, including building RAG solutions with embeddings and vector databases. Familiarity with Spring AI or LangChain/LangChain4j, prompt engineering best ...

traffic volumes and large datasets Strong understanding of frontend performance, monitoring, and observability Experience working within Agile delivery teams Desirable Azure AI Services Azure OpenAI Agentic AI frameworks Azure Container Apps Azure Kubernetes Service (AKS) Infrastructure as Code Experience with AWS cloud platforms Exposure to enterprise-scale AI transformation programmes ...

multi-step workflows) for client projects and internal products. Take them from prototype to production on AWS or Azure (e.g. SageMaker, Azure ML, Databricks, OpenAI integrations), then monitor and improve them once they are live. Explore and understand client data before building anything. Design evaluation for LLM and agent systems ...

review, automated testing and staged CI/CD for AI‐generated changes. Familiarity with integrating AI/LLM services into applications (M365 Copilot, Azure OpenAI or equivalent APIs). Required Skills & Experience Front‐end skills: strong commercial experience with JavaScript, TypeScript, React and the SharePoint Framework (SPFx). Back ...

what works, what scales, and what’s next. Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval‐augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform – enabling ...

curious mindset, with a passion for staying ahead of developments in the rapidly evolving AI landscape. Desirable Experience with Azure AI services, Azure OpenAI, AI Foundry or similar platforms. Experience designing and implementing Retrieval‐Augmented Generation (RAG) solutions. Experience with agentic AI workflows and orchestration frameworks. Experience working ...

curiosity, continuous learning, and a collaborative mindset Understanding of GDPR and data governance Experience in insurance or financial services Familiarity with LLMs (e.g., GPT, OpenAI) Knowledge of infrastructure monitoring, backup, or disaster recovery What We Will Offer You Recognised and rewarded for a job well done, we have a range ...

Modern AI Stack: Proven expertise working with Python, deep learning frameworks (PyTorch or TensorFlow), and advanced language processing orchestration environments (Hugging Face, LangChain, LlamaIndex, OpenAI/Anthropic APIs). Vector Storage & SQL: Solid competency configuring and query-optimizing vector databases alongside standard relational backends (PostgreSQL, Redis). Cloud Production: Confident ...

permanent in-house team as it forms. Required Experience: Azure is mandatory: hands-on architecture experience with Azure AI Foundry/Azure OpenAI, API Management as a model gateway, Azure AI Search, Entra ID and core landing-zone services. Proven track record architecting enterprise GenAI and agentic systems in production ...

years of professional software, platform, or integration engineering experience, including two or more years building and operating production systems with LLM APIs from Anthropic, OpenAI, or comparable providers. Track record of owning a platform, shared service, or developer-enablement capability end to end, covering design, build, reliability, and cost, rather ...

data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. ...

strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector search and retrieval optimisation. Experience developing AI solutions using Microsoft Azure, Azure AI Foundry, Azure OpenAI Service and Copilot Studio You’ll have familiarity with enterprise integration patterns using Microsoft Graph, Power Platform and business applications. As well as working knowledge ...