11 of 11 LangChain Jobs in Reading

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding ...

general software engineering principles. You have worked with common python frameworks (Numpy, Pandas...) Demonstrated expertise with agentic AI systems, including orchestration frameworks (LangGraph preferred, LangChain or similar also considered). Strong foundation in classical machine learning and applied modeling techniques, including regression, classification, clustering, and practical experience with models used ...

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 Llama ...

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 Llama ...

accessibility and development best practices. Bonus Skills: Experience with NoSQL databases (e.g., MongoDB, Cosmos DB). Exposure to AI/LLM integrations (e.g., Langchain or similar tools). Working knowledge of design systems, such as the GOV.UK Design System. Why Join? Work on meaningful digital products that impact lives. Join ...

Strong Technical Architecture Skills Solid software engineering fundamentals and experience designing scalable AI systems. Nice to Have Experience with NLP and agent frameworks (e.g., LangChain, LlamaIndex, etc.) Cybersecurity domain knowledge Experience in AI-focused startups, especially scaling research into product impact Advanced research background (e.g., PhD) with publications Familiarity with ...

agentic and generative AI capabilities. Deep Technical Fluency: Fluent in modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data ...

agentic and generative AI capabilities. Deep Technical Fluency: Fluent in modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data ...

LLMs such as Claude, GPT-4/4.1, Gemini, or open-source models Experience with LLM orchestration frameworks and agent-based systems (e.g. LangChain, LlamaIndex, AutoGen, custom agent frameworks) Familiarity with prompt engineering, tool calling, retrieval-augmented generation (RAG), and multi-agent workflows Experience integrating AI into real systems, APIs ...

seeking a Solutions Architect with experience of Gen AI projects from any industry. They are seeking experience of Gen AI Orchestration frameworks such as Langchain, Autogen, Google ADK etc. They'd also like expertise in AI services offered by any of the cloud providers. This is for an initial ...

with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype … MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with technical and non-technical stakeholders ...