17 of 17 LangGraph Jobs in the City of London

Databricks) Familiarity with CI/CD pipelines and modern engineering practices Experience with vector databases (e.g. Pinecone, Chroma) Experience with agent frameworks (e.g. LangChain, LangGraph, or similar) Understanding of AI evaluation frameworks and production readiness Experience working in Agile delivery environments (Agile, SAFe, XP, Jira, Confluence, etc.) Desirable Experience Experience ...

architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices ...

Kubernetes . Familiarity with Helm charts, K8s networking, storage volumes, and GPU orchestration is essential. GenAI Orchestration: Deep, hands-on experience using LangChain and LangGraph to build complex, stateful, and cyclic agent architectures. Core Tech Stack: Strong proficiency in Python, framework integrations (LlamaIndex, Hugging Face), and vector databases (e.g., Pinecone ...

Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience ...

monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years ...

/Postgres), CI/CD, Docker, Kubernetes. JVM tuning, performance optimisation, algorithms & data structures. L3 production support experience. Experience with LLMs, AWS, LangChain/LangGraph, and agentic AI frameworks. Desirable: Mentoring/technical leadership. Financial services experience. Spring Boot, Kafka, Redis, in‐memory caching. BDD tools (Cucumber/JBehave/ ...

develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform … 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 ...

software engineering foundation – Experience taking agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such as LangGraph, ReAct, CoT — or building similar systems from scratch – Familiar with PyTorch/TensorFlow, RAG architectures, vector databases, modern cloud infra – Experience in startup or consulting ...

best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong communication ...

will: Design agent topologies - planner/executor, supervisor/worker, reflection loops, human-in-the-loop Build and extend agents using frameworks like LangGraph, Strands, and Agent SDKs Evolve the agent harness - execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool ...

languages used in AI engineering. Hands-on experience with AI and agent frameworks such as Microsoft Copilot, Copilot Studio, Autogen Agents, Amazon Q, LangChain, LangGraph or similar platforms. The ability to analyse, evaluate and optimise agent behaviour and AI system performance. Experience delivering solutions using cloud platforms and cloud-native ...

Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock). Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents,) and machine learning platforms for model training and deployment. Strong problem-solving skills, a proactive attitude, and an entrepreneurial mindset with a commitment ...

into production environments Implement and optimise retrieval, prompting, tool-calling, and orchestration patterns for enterprise AI applications Develop AI services and workflows using LangChain, LangGraph, or similar frameworks for multi-step reasoning and orchestration Enable standardised tool and context integration across AI applications using MCP or similar interoperability patterns Monitor … LLMOps practices, including deployment, monitoring, scaling, evaluation, governance, and cost control Experience building agentic AI workflows and orchestration patterns using frameworks such as LangChain, LangGraph, or similar Understanding of Model Context Protocol (MCP) or equivalent approaches for standardised integration between AI applications, tools, and enterprise data sources Strong Python engineering ...

candidate will create an agent-based engineering platform scaffolding or harness using GitHub Copilot agents. Knowledge in frameworks such as Microsoft Agentic Framework, ADK, LangGraph, LangChain, or LangFuse isn’t mandatory, but an advantage. This harness will automate and assist key SDLC activities, including requirements generation, specification creation, story breakdown … repositories, APIs, and development workflows · Understanding of AI observability, tracing, evaluation, guardrails, and feedback loops · Awareness of frameworks such as Microsoft Agentic Framework, ADK, LangGraph, LangChain or LangFuse, will be beneficial but not mandatory SDLC Automation and Developer Productivity · Experience using AI coding and tools such as GitHub Copilot · Ability ...

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analytical workloads at scale - LLM/AI features shipped to production users, covering evals, guardrails, prompt versioning, and cost control - LangChain and LangGraph for orchestration - Data modelling for fund mechanics, including cash flows, NAV, performance metrics, and position-level credit data - AWS in production: IAM, S3, RDS, and containerised workloads … Staff Engineer, Principal Engineer, Private Credit, Private Markets, Capital Markets, AI Platform, Analytics Platform, Python, TypeScript, Node.js, React, Next.js, NestJS, FastAPI, PostgreSQL, pgvector, LangChain, LangGraph, LiteLLM, AWS, LLM, Fintech, Greenfield, Remote, Hybrid/Remote, Contract ...

Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering ...