25 of 25 LangGraph Jobs in the South East

experience with LLMs & Generative AI , including: Retrieval-Augmented Generation (RAG) Prompt & context engineering Agentic/multi-agent architectures Experience with frameworks such as LangChain, LangGraph, LangSmith or similar Solid NLP background (tokenisation, embeddings, transformers, BERT-style models, sentiment analysis) Experience integrating vector databases (e.g. Azure AI Search, OpenSearch, Pinecone, Weaviate ...

discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi-step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper ...

DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models ...

DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models ...

LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few So What's Next? If you are an experienced AI Software developer ...

Bedrock experience (model selection, deployment, prompt engineering)- Agentic workflow experience ideally based on AWS AgentCore- Multi-agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar)- Large Language Model (LLM) integration and fine-tuning- Experience with Claude, GPT-4, or similar foundation models- Prompt engineering and chain-of-thought reasoning ...

LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups ...

Requirements 5+ years’ experience in AI/ML or software engineering , with production delivery. Strong Python skills. Hands-on with LangChain, Semantic Kernel, or LangGraph . Proficient in model deployment on cloud. Background in industrial manufacturing or B2B software (preferred). Entrepreneurial, self-driven, and collaborative. Key Details Salary ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...

Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. ...

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 excitement about ...

generate features that drive performance, moving beyond basic metadata into deep semantic understanding. Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production. Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks. Product Experience: Experience shipping ...

high-throughput indexing pipelines and efficient retrieval strategies for enterprise data. Develop and manage a standardised, secure Agent Framework/SDK (e.g., based on LangGraph or a custom library) that promotes consistency and maintainability across all agents built from the platform. Implement robust mechanisms for cost tracking, monitoring, and precise … 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. Proven ability ...

like a product engineer Enjoy working in small, high-energy teams Bonus Points For: Experience with Postgres, Prisma, GraphQL, Next.js Exposure to LangChain/LangGraph/AI-driven workflows Building something end-to-end yourself (side project, startup, OSS) What You'll Be Doing: Building features from scratch - schema ...

. 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 Deploying ...

taste of what you'll be doing Design, build, and deploy multi-step, autonomous AI agents and workflows using the standardised frameworks (e.g., LangGraph, custom SDKs) provided by the central GenAI Platform Team. Master the art of Prompt Engineering to define clear, deterministic, and self-correcting agent behaviour, optimising … Strong proficiency in Python and solid software engineering fundamentals. Proven, hands-on experience building and deploying complex workflows using modern agentic frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, or equivalent internal frameworks). Practical experience in connecting agents and products to Retrieval-Augmented Generation (RAG) systems, understanding vector stores, chunking strategies ...

full details. Role Overview My client is seeking a full-stack AI/ML engineer with deep expertise in agentic AI frameworks such as LangGraph (or equivalent) and proven commercial experience building complex, multi-agent systems with more than at least four agents. This role blends cutting-edge AI research … technical depth and creative freedom you're looking for here. Required Skills & Experience MOD Security Clearance (or ability to obtain). Commercial experience delivering LangGraph or equivalent agentic AI projects with more than four agents in production. Strong grasp of multi-agent orchestration, memory, and tool integration. Proficiency in Python ...

technologies. Key Responsibilities Design and develop AI-driven applications using LLMs and agent-based architectures Build and integrate workflows using LangChain and/or LangGraph Develop robust backend services using Python Contribute to frontend or full-stack development using JavaScript/TypeScript where required Deploy, scale, and maintain solutions … Skills & Experience Strong commercial experience as a Software Engineer working with AI/LLM-based systems Hands-on experience with LangChain and/or LangGraph Excellent Python development skills Solid experience with JavaScript and TypeScript Proven experience deploying applications on AWS Strong understanding of software architecture, APIs, and cloud-native ...