26 to 50 of 203 LangChain Jobs in London

learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands‐on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation ...

technical audiences. Preferred Qualifications, Capabilities, and Skills: Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands-on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Join ...

data platform integrations Experience with both .NET and Python development Experience building AI-enabled or agentic applications Experience with Azure AI Services, OpenAI, LangChain, or similar platforms Experience designing and developing secure REST APIs and enterprise integrations Strong understanding of SQL, relational databases, and data-intensive applications Experience with ...

enterprise integration, APIs, microservices and scalable software delivery. Hands‐on capability with Python and SQL, with practical knowledge of AI orchestration frameworks such as LangChain, LangGraph or similar technologies. Knowledge of vector databases, semantic retrieval, prompt engineering, model selection, grounding techniques, evaluation approaches and AI guardrails. Experience working with cloud ...

version control, automated testing, and monitoring. Experience building or productionising agentic AI systems—tool use, orchestration, multi‐step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar). Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation). ...

teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer ...

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 ...

models into real-world systems Experience with LLMs, RAG, vector search, conversational AI, or unstructured data pipelines Familiarity with AI tooling/frameworks (e.g. LangChain, LlamaIndex, Haystack, Hugging Face, CrewAI) Experience leading SaaS/cloud-based HR or enterprise platforms Skilled at using data and analytics to identify outcomes ...

with advanced stakeholder communication, problem-solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/ ...

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 ...

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 ...

both technical and non-technical audiences Nice to have Experience operationalizing LLM or Generative AI workflows in Databricks pipelines Familiarity with frameworks like LangChain, LlamaIndex or Databricks ML/MosaicML Knowledge of AI governance, security practices and enterprise integration controls Background in financial trading data or related domains Official Databricks ...

with R is advantageous Practical experience in building statistical models or predictive algorithms Hands-on exposure to contemporary AI concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services (AWS, Azure or GCP) Knowledge of MLOps practices and tools like Databricks or MLflow Ability to tackle ambiguous ...

with running AI systems in production. Strong software engineering fundamentals are essential, particularly in Python, Java or TypeScript . Experience with LangGraph, CrewAI, AutoGen, LangChain or equivalent agentic frameworks is highly relevant, but we’re interested in depth of experience rather than simply familiarity with a particular tool. ...

Ability tovalidate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts awareness of orchestration frameworks (LangChain,LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-basedarchitecture; production experience preferred, conceptual understandingrequired #LI-MP About Accenture Accenture ...

management on AKS. Strong hands-on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi-step agentic workflows and tool-calling agents. Hands-on experience with Azure AI Search or other vector/hybrid search solutions, including vector ...

ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands-on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. Proven experience applying Agile delivery, DevOps, MLOps, and LLMOps practices to enterprise AI programmes. Strong cloud architecture experience across Azure ...

Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or similar Generative AI technologies is highly desirable.* Familiarity with AI orchestration frameworks (e.g. LangChain, Semantic Kernel, AutoGen, or similar) would be advantageous.* Knowledge of Private Markets, alternative assets, portfolio analytics, financial data platforms, Fixed Income, or Multi-Asset Analytics ...

against priorities. Technology Vision: Stay current with the rapidly evolving AI landscape, including new foundation models, open‐source frameworks, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and evaluation methodologies. Bring new ideas to the team and lead proof‐of‐concept development to assess feasibility and value. Deputising: Represent ...

them Deep hands-on experience with the full GenAI delivery stack: LLM APIs (OpenAI, Anthropic, Google, open-source), vector databases, embedding models, orchestration frameworks (LangChain, LangGraph, AutoGen, or equivalent), and deployment infrastructure Experience across the full lifecycle from POC to production — including the hard part: evaluation design, prompt engineering ...

development and automation capabilities. Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts. Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT). Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development ...

Demonstrated proficiency in: Rapid prototyping of data science and machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version control ...

world problems. Strong backend engineering expertise, including RESTful APIs and micro‐services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI). Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‐as‐Code (Terraform). Proven problem‐solving skills ...

development and automation capabilities. Required Qualifications, Capabilities, And Skills Formal training or certification in software engineering concepts. Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT). Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development ...

Helm, KubeFlow, and service meshes (e.g., Istio). Hands-on experience with Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins. Experience with vLLM, Ray, MLflow, LangChain/LangSmith, DeepSpeed, or Hugging Face TGI. Solid background in AWS/GCP/Azure, Kubecost, and GPU cost optimisation techniques. Strong skills in Python ...