1 to 25 of 54 LangChain Jobs in the South East

enterprise-level AI/Gen AI platform/solutions with the client's existing enterprise stack. Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least ...

Foundry, AI Search, Document Intelligence, AI Services) Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA) Familiarity with LLMs (OpenAI, Prompt Engineering, LangChain) Relevant Azure Data & Computation services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React/CSS/JavaScript Azure infrastructure R, Powershell Kubernetes/Docker ...

Strong grasp of containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security and quality assurance. Jira with AI plugins for agile delivery. Monitoring tools like Datadog and Dynatrace ...

teams to deliver high-quality AI solutions Essential Skills & Experience 2-6 years of Python development experience Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes ...

translate requirements into robust ML solutions. Who You Are Strong proficiency in Python and experience with PyTorch or TensorFlow . Practical experience with LangChain, LangGraph, AutoGen , or similar LLM/agent frameworks. Skilled in prompt engineering , integrating foundation model APIs, and LLM fine-tuning techniques. Expertise in building RAG systems ...

teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps ...

teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps ...

teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps ...

teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps ...

teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps ...

teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps ...

teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps ...

teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps ...

teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps ...

teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps ...

Kubeflow). Proven experience designing, implementing, and optimising complex RAG pipelines using vector databases (e.g., Pinecone, PGVector). Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, Langgraph, or custom implementation) and defining tool-use patterns. Demonstrated experience designing complex, multi-tenant platform systems, prioritising reliability, security, and separation of concerns. ...

base salary Hybrid working with three days in the London office Work with advanced AI platforms including Azure ML, Azure OpenAI, Databricks, MLflow and LangChain Global exposure and the opportunity to work with senior stakeholders across time zones A collaborative, supportive culture that encourages innovation and professional development What ...

strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms ...

strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms ...

strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms ...

strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms ...

strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms ...

strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms ...

strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms ...

strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms ...