51 to 75 of 75 LangChain Jobs in Central London

services powering intelligent search, natural language interfaces, and recommendations Integrate and deploy LLM APIs (OpenAI, Anthropic, Cohere) and cutting-edge open-source AI frameworks (LangChain, LlamaIndex) Design and optimise RAG pipelines leveraging embeddings and vector databases (Pinecone, Weaviate, FAISS) Develop advanced agentic workflows and harness knowledge graphs for smarter automation ...

Build core systems across orders, payments, and discovery Work end-to-end across backend, frontend, and infrastructure Develop agentic/AI-powered flows (LangChain, MCP or similar) Deploy, monitor and scale AWS infrastructure Ship quickly and iterate based on real user feedback You’ll Thrive If You Have Strong full ...

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 ...

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 ...

Build core systems across orders, payments, and discovery Work end-to-end across backend, frontend, and infrastructure Develop agentic/AI-powered flows (LangChain, MCP or similar) Deploy, monitor and scale AWS infrastructure Ship quickly and iterate based on real user feedback You’ll Thrive If You Have Strong full ...

Build core systems across orders, payments, and discovery Work end-to-end across backend, frontend, and infrastructure Develop agentic/AI-powered flows (LangChain, MCP or similar) Deploy, monitor and scale AWS infrastructure Ship quickly and iterate based on real user feedback You’ll Thrive If You Have Strong full ...

Git. Ability to build responsive interfaces and manage complex backend logic. Excellent problem-solving and time management skills. Bonus Skills: Experience with Azure, Docker, LangChain, RAG models, and pandas. What’s on Offer Transparent salary framework and twice-yearly promotion opportunities . 25 days annual leave plus three extra days ...

Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with LLM-powered AI orchestration frameworks (e.g., DSPy, LangChain, or similar) Experience in AI-driven automation & orchestration in production environments Proven ability to optimise AI agents for reliability and efficiency Familiarity with data pipelines ...

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 ...

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 ...

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 ...

years of experience building and deploying real-world products Strong understanding of modern AI systems, including LLMs, multimodal models, agents, and supporting tooling (e.g. LangChain, RAG pipelines, SFT/RL fine-tuning) Solid infrastructure experience, including cloud platforms, containerization, and relational or graph databases Proven ability to build independently, move ...

mission to surface key knowledge rapidly and accurately. Responsibilities: Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like AWS Bedrock, Langchain, HuggingFace Transformers or OpenAI API. Design prompt templates and implement retrieval strategies to increase answer precision and factuality. Assist in creating data pipelines for training … experience with machine learning, NLP, or information retrieval projects, preferably with language models. Proficiency in Python and familiarity with deep learning/NLP libraries (Langchain, PyTorch, TensorFlow, HuggingFace Transformers). Knowledge of vector databases or semantic search concepts is desirable. Eagerness to learn, strong problem-solving skills, and ability ...

microservices. A genuine interest in AI and LLMs — from using tools like Cursor and Copilot to experimenting with frameworks such as Hugging Face or LangChain is highly desirable. AI literacy and an interest in using AI tools to improve workflow and product outcomes. Degree in Computer Science (or similar) from … . Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Experience with real-time streaming technologies (Kafka, Apache Storm). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech ...

innovation Nice to Haves Comfortable working with tools like Postgres, Prisma, GraphQL, or Next.js Hands-on experience with AI or agent frameworks (such as LangChain or LangGraph) Experience building something from scratch — whether a side project, startup, or open-source app Tech Stack Frontend: React, TypeScript, Next.js Backend: Node.js, GraphQL ...

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 ...

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 ...

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 ...

production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/… powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability and reliability Key Details: Salary: £80,000–£100,000 Working Model: Hybrid (2–3 days/week in Central London) Team: 10-person founding group ...

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 ...