16 of 16 Permanent LangChain Jobs in Central London

experience with various data science and machine learning libraries. Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit‐learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others. Experience with cloud‐based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI). ...

solving ability and willingness to learn in a fast-paced environment Ability to communicate technical concepts clearly Desirable Experience Experience with LLM frameworks (e.g. LangChain) Knowledge of vector databases or RAG architectures Exposure to Docker or containerised environments Familiarity with data processing tools (e.g. Spark, Dask) Understanding of CI/ ...

agents). Ability to move fast without compromising on code quality, testing, and operational excellence . Nice to have Experience with tools such as LangChain, LlamaIndex, Haystack, Hugging Face, Weaviate, CrewAI, AutoGen , or similar. Hands-on work with Retrieval Augmented Generation , AI agents, and agent orchestration frameworks. Experience working with ...

/Azure/GCP). Knowledge of MLOps workflows and ML tooling. Clear communication and a collaborative mindset. Nice‐to‐Haves Experience with LangChain, vector databases (Pinecone, Weaviate etc), or agent frameworks. Track record of advanced side projects or research contributions. Full stack familiarity (e.g., React, Postgres, TypeScript ...

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 ...

etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps ...

series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. GenAI & Agentic Frameworks: Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi-agent collaboration). ...

LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management Experience with platforms such as: Azure ML, AWS SageMaker, Google Vertex AI Databricks, LangChain, Hugging Face Ability to develop architecture artefacts (HLDs, solution diagrams, delivery models) Exceptional writing, storytelling, and stakeholder engagement skills Experience in consultancy, systems integration ...

Augmented Generation), and vector databases (e.g., PGVector, ChromaDB) Experience with GenAI evaluation tools such as RAGAS, DeepEval, or Pegasus Strong programming skills in Python (LangChain, LangGraph, LangSmith) and preferably TypeScript Solid understanding of LLMs, prompt engineering, and graph-based workflows Experience implementing guardrails (hallucination control, PII filtering, bias mitigation) Knowledge ...

React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP Strong programming skills in Python (experience with LangChain/LangGraph/LangSmith frameworks) and TypeScript ( preferable ) Solid understanding of LLMs, prompt engineering, and graph-based workflows. Knowledge and implementation of Input and Output ...

engineering What We’re Looking For 10+ years in AI/ML with strong architecture experience Proven experience with: Agentic AI/RAG systems LangChain/LangGraph or similar frameworks LLMOps and evaluation frameworks Strong AWS expertise (Bedrock, serverless architecture) Experience designing scalable, production-grade systems Excellent stakeholder communication skills ...

Experience with AWS Services (AWS Lambda, AWS CloudWatch, API Gateway, ECS, ECR, SQS, SNS). Familiarity with Open AI APIs, Agentic AI – Crew/LangChain/RAG/AutoGen/NLP/Java/Python/REST/Telemetry/Security/Auditability. Domain knowledge in client onboarding ...

Transformer models and LLMs (e.g., GPT, LLaMA, Mistral, Claude). Skills in fine-tuning, prompt engineering, and building RAG pipelines. Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen). Knowledge of reinforcement learning methods or tools (Q-learning, policy gradients, RLlib). Why Join Us? Work on AI solutions that ...

manager Pragmatic, outcome-focused, and hands-on Nice to Have Experience in retail or e-commerce Familiarity with tools such as OpenAI, Azure OpenAI, LangChain, and vector databases Experience supporting customer-facing AI solutions ...

coming together in this team. Tech in place currently - AWS infrastructure Python microservices Node/react/typescript Postgres Kafka github confluence LLM/langchain/langgraph Senior Engineer Working with the CTO to grow the team, the capability and methods of working. Ethos is simple, clean code and architecture ...

into robust, production-grade software using Amazon Bedrock and modern Python frameworks. Key Responsibilities · Agent Development: Build and deploy sophisticated AI agents using Python, LangChain, and LangGraph. Implement tool calling (function calling), memory persistence, and error-handling logic for robust autonomous execution. · RAG Implementation: Develop high-performance retrieval pipelines. Optimise … Flask). · AWS AI Stack: Hands-on experience with Amazon Bedrock APIs, SageMaker (Training Jobs, Inference Endpoints), and Vector Databases. · Frameworks: extensive experience with LangChain, LlamaIndex, or LangGraph for building agentic workflows. · LLM Techniques: Practical experience with Prompt Engineering (Chain-of-Thought, ReAct), RAG optimisation, and model evaluation techniques. Advantageous ...