11 of 11 OpenAI Jobs in Plymouth

business processes. Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI … We’re Looking For: Demonstrable experience in AI Automation/Integration role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design More ❯

or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. 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 with Docker, Kubernetes, and Docker More ❯

understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯

Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL More ❯

core of our platform is a RAG-based architecture, purpose-built for finance. It’s designed to replicate the kind of deep reasoning you see in leading models like OpenAI’s o1—capable of parsing nuanced questions, retrieving domain-relevant knowledge, and producing context-aware answers with minimal hallucination. You’ll work with state-of-the-art AI stacks, combining More ❯

Key Responsibilities: Develop and maintain web applications using TypeScript, React, Node and Next.js. Contribute to a monorepo encompassing B2B SaaS and AI modules. Integrate Large Language Models (LLMs) like OpenAI and Gemini through prompt engineering. Optimise MySQL databases for performance and scalability. Build type-safe RPC endpoints with tRPC and TypeScript. Requirements: Experience with Next.js, tRPC, TypeScript, Prisma. Strong database More ❯

React, Node + Next.js Contribute to and maintain a monorepo that includes both the B2B SaaS platform and AI/LLM modules Integrate and optimize commercially available LLMs (e.g., OpenAI, Gemini) via prompt engineering and inference pipeline management Implement multi-step LLM workflows using orchestration frameworks such as LangChain. Design and optimize the MySQL database Develop and maintain type-safe More ❯

Responsibilities Design, develop, and maintain web application features using Next.js and TypeScript Contribute to a monorepo encompassing both SaaS and AI/LLM components Integrate and optimize LLMs (e.g., OpenAI , Gemini ) through prompt engineering and API orchestration Implement multi-step AI workflows using frameworks such as LangChain Design and optimize relational databases, particularly MySQL Develop type-safe RPC endpoints using More ❯

TypeScript, React and Node Contribute to and optimise their monorepo, which includes both B2B SaaS platforms and AI/LLM modules. Integrate and fine-tune commercially available LLMs (e.g., OpenAI, Gemini) through prompt engineering and inference pipeline management. Implement multi-step LLM workflows using orchestration frameworks like LangChain. Design, optimise, and manage database architecture using MySQL. Develop and maintain type More ❯

and manage client email campaigns, automation pipelines, and GTM workflows. Collaborate with Product, Marketing, and Growth teams to launch initiatives and A/B tests. Integrate AI models (e.g., OpenAI, Anthropic) for prompting, personalization, and automation. Automate lead enrichment, deliverability, and campaign optimization processes. Scale systems to support growth and high-volume usage. Set up campaigns and automations for VIP More ❯

directly to the Head of AI Hands-on from design to deployment, including infra and validation Strong product exposure, weekly feedback loops with care partners Stack includes SageMaker, Vertex, OpenAI APIs, PyTorch Full-time, remote-first (UK/CET), Your Responsibilities: Designing and shipping AI-powered product features using LLMs and symbolic AI Building out scalable infrastructure for model deployment More ❯