10 of 10 OpenAI Jobs in Berkshire

e.g. Azure Foundry, CrewAI and Hugging Face). Proficient in context engineering, RAG, and LLMOps. Experience deploying ML/AI solutions on Azure (Azure OpenAI, Azure AI Foundry, Azure ML Studio). Experience with Azure data and analytics services (Data Factory, Data Lake, Synapse Analytics, SQL Database). Programming skills ...

short-term memory, retrieval pipelines, and structured reasoning constraints. GenAI Application Engineering Integrate LLMs into real-world applications using LangChain, LlamaIndex, Haystack, AutoGen, and OpenAI Assistant/Responses API patterns. Design and implement high-performance Retrieval-Augmented Generation (RAG) pipelines, including: Hybrid (keyword + vector) search Reranking and embedding optimization ...

thoughtful, creative ways. You’ll be working with: Python as your core language, building backend services and AI pipelines Generative AI tools such as OpenAI APIs, LLM agents and prompt engineering frameworks Cloud platforms including AWS, GCP or Azure for scalable deployments CI/CD pipelines, containerisation (such as Docker ...

layers, memory systems, and fallback strategies • Engineer robust structured data pipelines • Build scraping and browser automation systems • Integrate directly with LLM APIs such as OpenAI and Anthropic, managing prompt architecture, tool schemas, streaming responses, error handling, and cost optimization • Design systems that handle probabilistic outputs with deterministic safeguards • Implement monitoring ...

permissions, and role-based workflows Event-driven architectures using webhooks, queues, and async processing AI, Search & Data Systems Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent) Design and implementation of scoring, ranking, and weighted evaluation systems Experience with vector search, embeddings, and semantic retrieval Practical ...

clear path into technical leadership, with genuine progression to Head of Technology. What You'll Do Design and ship AI and LLM-powered features (OpenAI, Anthropic) Build scalable backend systems in Python and Django Lead technical design and evolve system architecture Manage third-party integrations (payments, messaging, supplier APIs) Improve ...

product Your background looks something like: Engineering experience at tech and product-driven companies Shipping multi-provider LLM-based solutions to production (using e.g. OpenAI, Anthropic, Google, etc.) Proficiency with LLM infra platforms (prompt management, logging/tracing, evals) Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search ...

working directly with designers to translate wireframes and prototypes to polished, accessible product UIs. Hands-on experience integrating LLMs/generative models into applications (OpenAI, Anthropic, local/open-source LLMs): prompt engineering, response handling, safety guardrails, RAG architectures. Good understanding of how large language models work, including transformer architecture … skills and experience mentoring engineers and collaborating across product, design and ML teams. Preferred Requirements Familiarity with LLM orchestration and tools (LangChain, LlamaIndex, Haystack, OpenAI/Anthropic SDKs). Advanced visualization/graphics skills or experience building interactive applications Experience with design systems and component libraries (Figma workflows, design tokens ...

building and shipping full-stack products in fast-paced, product-driven teams Hands-on experience building production AI systems with Python, PyTorch, and LLMs (OpenAI, Anthropic, etc.), integrated into real user workflows Familiarity with MLOps tools and CI/CD for both traditional and ML-driven systems Strong backend … ambiguity startup You're looking for a large team with established roadmaps and guardrails Tech Stack Core: Python, FastAPI, TypeScript, React AI/ML: OpenAI, Anthropic, computer use, evals, voice agents Infrastructure: Azure, Docker Process: Initial Screen (30 min video call with one of the founders) Take-Home Test (1h45 ...

state-of-the-art computer vision technologies. Key responsibilities include: Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini. Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience. Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging … . Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek. Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB. Practical knowledge ...