21 of 21 Remote LangChain Jobs in Slough

skills to effectively collaborate with cross-functional teams. Preferred Qualifications: Experience with agentic AI, multi-agent systems, or autonomous workflows. Familiarity with OpenAI APIs, LangChain, or similar frameworks for building intelligent systems. Knowledge of financial compliance regulations and risk analysis methodologies. Experience with CI/CD pipelines and version control More ❯

backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries (e.g., Transformers, LangChain, LangGraph, OpenAI APIs) Experience with cloud platforms (AWS, GCP, or Azure), deployment, and CI/CD pipelines Familiarity with containerization (Docker, Kubernetes) and observability (e.g. More ❯

requirements and ship weekly increments. Champion best practices in testing, secure data handling (NHS DSPT), and GDPR compliance. Tech you’ll use Python • FastAPI • LangChain/LlamaIndex • PostgreSQL + PGVector • Redis • Pinecone/Weaviate • Vertex AI • Cloud Run • Docker • Terraform • Prometheus/Grafana • GitHub Actions What we’re looking for More ❯

AI/ML systems in production. Strong background in LLMs, NLP, and conversational AI (e.g., GPT, Claude, Mistral, LLaMA, etc.) Expertise with frameworks like LangChain, Hugging Face, OpenAI, RAG pipelines, and vector databases (e.g., Weaviate, Pinecone, Chroma) Solid knowledge of AI system architecture, including model serving, monitoring, and optimization Strong More ❯

and server management via shell Practical experience through internships or personal projects Nice to have Experience with Python backends, FastAPI, and RAG frameworks like LangChain, Llama Index Knowledge of vector databases and advanced database management systems Knowledge of 2D graphics editors and SVG (yep, it gets quite nitty gritty) Previous More ❯

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

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

product-driven environment. Strong expertise in AI/ML technologies , including experience with modern AI frameworks and LLM integration (OpenAI, Anthropic, Pydantic-AI, LangGraph, LangChain), and deployment of production AI systems. Proficiency in back-end development with Python and Laravel based systems. Experience with RESTful APIs, database design, and server More ❯

with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration More ❯

It’s the kind of role where your code ships and your input shapes the roadmap. 🚀 Expect work across: GenAI + LLM tooling (vLLM, LangChain, HuggingFace) RAG systems, embeddings, reranking NLP tasks like summarisation, classification, sentiment Scalable deployment in AWS (with support from DevOps) Cross-team collaboration and mentoring Why More ❯

Platforms (Ideally AWS) Strong Python & SQL experience Experience in advertising, marketing or YouTube/social media video (Highly Desirable) Experience or understanding of LLMS, LangChain, & RAG (Beneficial) Sound of interest? Apply today for immediate consideration! Please note: All candidates must be UK based and have the full right to work More ❯

backend tools in a remote, collaborative setup. What you'll need: Strong Python engineering background (AI/ML or backend) Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agent system patterns Comfortable More ❯

or TypeScript (Express or similar). Experienced with React and TypeScript, using modern frameworks like Next.js or Vite. Familiarity with GenAI frameworks such as LangChain, LangGraph, CrewAI, or Vercel AI. Hands-on experience with large language models (LLMs) like OpenAI, Anthropic, Mistral, or LLaMA, and platforms like Ollama. If you More ❯

Experience with Next.js, tRPC, TypeScript, Prisma. Strong database skills ideally with MySQL. Hands-on experience integrating AI models (e.g., ChatGPT, Gemini). Familiarity with LangChain or similar orchestration tools. Fast learner, adaptable in high-paced environments. Preferred Skills: Experience deploying and fine-tuning custom AI models. Background in B2B software More ❯

TypeScript, and Prisma Practical experience integrating with AI models such as ChatGPT or Gemini, including prompt engineering and API management Familiarity with tools like LangChain (or similar) to implement multi-step AI workflows A demonstrated ability to learn quickly and deliver functional features in a fast-paced environment Preferred Qualifications More ❯

and optimisation, particularly with MySQL. Hands-on experience integrating with AI models like ChatGPT or Gemini, including prompt crafting and API management. Familiarity with LangChain or similar orchestration tools for multi-step AI workflows. Ability to quickly learn new technologies and deliver production-ready features in a dynamic environment. Preferred More ❯

with Next.js, tRPC, TypeScript, and Prisma. Strong database skills ideally with MySQL. Hands-on experience integrating AI models (e.g., ChatGPT, Gemini). Familiarity with LangChain or similar orchestration tools. Fast learner, adaptable in high-paced environments. Preferred Skills: Experience deploying and fine-tuning custom AI models. Background in B2B software More ❯

development, AI experimentation, and product innovation. The successful candidate will play a key role in architecting agent-based systems, leveraging advanced frameworks such as LangChain and LlamaIndex, and deploying real-time AI capabilities that integrate deeply with SDLC processes. Key Responsibilities LLM Agent Development: Design and implement intelligent, multi-step … agents using frameworks like LangChain, LangGraph, and LlamaIndex to enhance developer workflows. Tooling & Assistant Innovation: Develop AI-powered assistants and developer tools with an emphasis on scalability, performance, and reliability. AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned … initiatives to promote AI capabilities across teams and client projects. Ideal Candidate Profile Agentic Experience: Proven experience building agent workflows using frameworks such as LangChain, LangGraph, or equivalent. AI/ML Expertise: Solid understanding of large language models (LLMs), embeddings, vector search, and prompt engineering. Software Engineering Skills: Strong programming More ❯

role that combines software engineering, ML experimentation, and AI product innovation. You’ll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be responsible for operationalising high-performance, real-time AI systems. Key Responsibilities: LLM Agent Development: Design and build intelligent, multi-step LLM … agents using frameworks like LangChain, LangGraph, LlamaIndex, etc. AI Assistant & Tool Innovation: Build AI-powered agents, assistants, and tools to streamline workflows and enhance productivity. AI Engineering: Build, test, and optimize generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Prompt Engineering: Craft, iterate, and test prompt … AI practices. AI Advocacy: Lead workshops, demos, and documentation efforts to evangelize AI agent capabilities. Experience: Agentic Experience: Hands-on experience with frameworks like LangChain, LangGraph, or similar. Deep AI Knowledge: Strong foundation in AI/ML concepts, especially around LLMs, prompt engineering, embeddings, and vector search. Engineering Excellence: Fluency More ❯

highly capable Technical AI Business Analyst with hands-on experience delivering production-grade GenAI solutions, particularly those leveraging multi-agent architectures using frameworks like LangChain, LangGraph, and OpenAI’s Agent Framework. You will join a forward-thinking team within a major financial institution's Treasury and Liquidity function, helping to … monitor system performance. Draft structured documentation, user manuals, and internal process maps for end users and engineering handover. Must-Have Skills Strong experience with LangChain, LangGraph, or equivalent multi-agent orchestration frameworks. Solid understanding of RAG (Retrieval-Augmented Generation) architecture, including chunking strategies, embeddings, and prompt design. Proven ability to More ❯

They don’t just talk about AI disruption they build it. They're building agent-based systems using LLMs, Azure AI, and frameworks like LangChain and AutoGen. They need an R&D Lead to be the hands-on maker driving this shift: prototyping, experimenting, and building the early architecture of … a shot to permanently shape the R&D function. To be considered, you’ll need: Real-world experience with LLMs and agentic frameworks (OpenAI, LangChain, AutoGen, Semantic Kernel). Strong software engineering background (.NET/C# and Azure). A builder’s mindset - experimental, action-biased, and commercially aware. There More ❯