26 to 40 of 40 LangChain Jobs in Central London

engineers). Strong hands-on experience shipping real GenAI/LLM systems into production. Deep expertise in: LLMs & transformer-based models Agentic frameworks (e.g., LangChain, LangGraph) Retrieval-Augmented Generation (RAG) Python Building or integrating LLMs into products or workflows Working with GenAI frameworks and tooling Designing or optimising prompt pipelines ...

shape the company’s trajectory Tech you’ll work with ·Python, LLMs, vector databases, knowledge graphs ·React/TypeScript, Supabase, AWS ·Agent frameworks (e.g., LangChain, LangGraph) What they are looking for · Ownership mindset: You think like a founder and execute without waiting for instructions · High energy: Positive attitude and genuine ...

embedded within a mature AI Factory. Deep technical understanding of GenAI tools, such as GPT models, and Agentic AI frameworks, such as Langgraph & Langchain, required. Strong full stack/software engineering skills also preferable. To provide technical leadership for a team of ~15 Capgemini Invent technical developers across data science ...

data modelling Experience with containerisation (Docker) and cloud platforms ( GCP , AWS , or similar) Familiarity with LLM or AI APIs Exposure to agentic frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) Practical experience with databases (SQL/NoSQL) Strong foundation in software design principles and systems thinking Comfortable working in a fast-paced ...

strategy. Responsibilities: Develop data pipelines using Python, Pandas, and SQL Build and deploy machine learning models with PyTorch Create LLM and workflow integrations using LangChain Consolidate and prepare datasets for analysis and modelling Provide clear, actionable insights to technical and non-technical stakeholders Must of worked within a Banking, Financial ...

100k–140k Equity : 1–3% (founding-level) Hybrid working: Central London, 3 days p/week in office. Tech Stack: TypeScript, Node.js, React, Python, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics . This ...

+ Equity 🏙️ Location: London hybrid (2 days p/week in office) 💻 Tech Stack: Node, Python (Legacy), TypeScript, Next.js, React, AWS, LangChain/MCP 🤖 Frontend leaning full stack, Next.js is a must have I’m working with an early-stage startup building agentic AI tools that eliminate the invisible administrative ...

systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups • Production experience with agents : LangChain, AutoGPT, CrewAI, or custom agent frameworks • Regulated industry background : Financial services, healthcare, or other domains with compliance requirements • Security/threat modelling expertise : Understanding ...

100k–140k Equity : 1–3% (founding-level) Hybrid working: Central London, 3 days p/week in office. Tech Stack: TypeScript, Node.js, React, Python, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics . This ...

using TensorFlow, PyTorch, and Keras. Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents) for autonomous workflows. Collaborate with cross-functional teams to deploy AI solutions in production environments. Ensure scalability, security, and compliance … keras, nltk, matplotlib, seaborn, plotly Programming Languages Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone Rate:400GBP/day Inside IR35 Work mode: Hybrid, 2-3 days WFO Contract duration: 12 Months Location: London ...

record building small tools, scripts, or data products that improve ops. Proven hands-on experience with AI tools (e.g. building GPT-based apps, using LangChain, or integrating APIs) Experience working in digital agencies, consultancies, or dev partners What's in it for you: 💰Salary: £70,000-£90,000 📍Location: London ...

tuning pipelines, and agentic RAG then drive PoC → Production with governance, observability, and cost control. Keep solutions portable with pragmatic use of cloud services, LangChain/LangGraph/Semantic Kernel, and standard vector stores. What you’ll do OpenAI delivery • ChatGPT Enterprise deployment & governance: Plan workspaces; implement SSO/SCIM … Design with Managed Identity, Secret Management, and optional Private Link/private endpoints; harden per enterprise controls. • Frameworks & vector stores: Apply OpenAI Agent SDK, LangChain/LangGraph or Semantic Kernel where useful; integrate Azure Cognitive Search, Redis/pgvector, or managed vector services. • Copilot/Graph & app embeds: Where valuable ...

backend services powering semantic search, natural language interfaces, recommendations and assistants Integrate and deploy LLM APIs (OpenAI, Anthropic, Cohere) and open-source AI frameworks (LangChain, LlamaIndex, LangGraph) into production Design and optimise RAG pipelines using embeddings, vector databases (Pinecone, Weaviate, FAISS) and other retrieval systems Work with knowledge graphs … similar retrieval-heavy AI systems Hands-on with vector databases (Pinecone, Weaviate, FAISS or similar) and large, complex datasets Familiarity with LLM tooling (e.g. LangChain, LlamaIndex) and agentic AI concepts Comfortable in modern backend stacks (Node.js, Python, or similar – Node is a plus, not a requirement) Hybrid: able to work ...

world, production-scale AI deployment . 🔧 What You’ll Do Architect and develop backend systems (Python, FastAPI, Flask, NodeJS) Design and implement RAG pipelines (LangChain, Qdrant, embeddings) Build ETL & CI/CD workflows (Airflow, dbt, MLFlow) Integrate AI/LLM components into backend services Ensure reliability, scalability, and maintainability across … engineers and AI researchers 💼 About You 4+ years of backend experience (Python, distributed systems, async APIs) Proven experience integrating AI or LLM systems (LangChain, vector DBs, etc.) Hands-on with some of Airflow, dbt, MLFlow, ETL, and CI/CD workflows Experience in early-stage startup environments — self-starter mindset ...

ship backend systems from day one — scalable architectures, APIs, and AI-powered tools. Build and deploy LLM-based applications using frameworks such as LangChain, semantic search, RAG, and fine-tuning (SFT/RL). Develop backend logic and data pipelines to power intelligent automation and real-time processing. Manage infrastructure … Proven track record of building and shipping production-ready systems. Hands-on experience with distributed systems, APIs, databases, and cloud infrastructure. Familiarity with LLMs, LangChain, RAG, or fine-tuning techniques (SFT/RL). Strong problem-solving and debugging abilities with a proactive, builder’s mindset. Comfortable in a fast ...