8 of 8 Permanent LangChain Jobs in the City of London

client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry ...

testing, deployment, monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking ...

lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong ...

/knowledge/experience: Strong programming skills in Python (Karat assessment clearance required). Experience in Generative AI application development using frameworks such as LangChain or LangGraph. Hands-on experience building and deploying RAG-based solutions. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong understanding ...

knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including ...

similar languages used in AI engineering. Hands-on experience with AI and agent frameworks such as Microsoft Copilot, Copilot Studio, Autogen Agents, Amazon Q, LangChain, LangGraph or similar platforms. The ability to analyse, evaluate and optimise agent behaviour and AI system performance. Experience delivering solutions using cloud platforms and cloud ...

design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes … 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 ...

iteration Build a library of reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier … engineering, technical consulting, or a deployment/implementation role. Able to design and build working AI agents and automation workflows independently using agent frameworks (LangChain, CrewAI, LlamaIndex, or similar) and/or tools such as Microsoft Copilot Studio, Claude Skills etc. Strong enough technically to assess feasibility and scope what ...