76 to 100 of 112 Remote/Hybrid LangGraph Jobs

Responsibilities Design, build and deploy Generative AI and Agentic AI solutions from prototype to production Implement multi-agent orchestration patterns using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or OpenAI Agents SDK Develop the orchestration backbone for advanced workflows including planning, checkpointing, retries, fallback handling and resumption of long … workflows Strong working knowledge of LLM capabilities, including prompt design, structured outputs, tool calling and retrieval strategies Hands-on experience with agent orchestration frameworks (LangGraph, AutoGen, CrewAI or Semantic Kernel) Proven experience with RAG implementations, embeddings and vector database integrations Familiarity with stateful or long-running systems, including checkpointing ...

reliability and security. The role requires senior technical ownership, hands-on coding in Python, expertise with LLM-based architectures, and experience with tools like LangGraph, Haystack, and Docker. #J-18808-Ljbffr ...

services Experience designing AI agents, multi-agent systems and intelligent workflow automation Hands-on experience with RAG architecture and AI-powered assistants Knowledge of LangGraph or similar agent orchestration frameworks What's on Offer Salary up to £100,000 Opportunity to work on large-scale Agentic AI and Generative ...

depth in Python and/or TypeScript, from things you've actually built Hands-on experience with RAG, an agent framework like LangChain or LangGraph, and ideally MCP, from building with these, not just plugging in a vendor's version You use AI coding tools day to day already, Claude ...

C#, TypeScript, or Python, enough to guide and review AI-generated code with confidence. Hands-on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical ...

years of commercial experience. Experience designing and building agentic platforms using Python and modern AI frameworks. Architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, and related technologies. Implement multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making. Design and deploy Retrieval-Augmented Generation (RAG) pipelines ...

What You'll Bring AI Experience: Proven track record of building products integrated with AI. Agentic Proficiency: Familiarity with agentic architectures and frameworks (e.g., LangGraph, OpenAI Agents SDK). Versatility: Proficient in multiple programming languages (we primarily use Python and TypeScript). Full-Stack Capability: Hands-on experience with ...

gapped deployments. What You'll Be Doing Design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph, LangChain, Haystack or similar where appropriate. Develop the orchestration, state management and tool-calling infrastructure required to make agentic systems reliable in production. Integrate large language models … production , rather than simply integrating existing tools. Strong Python development skills and excellent software engineering fundamentals. Hands-on experience with frameworks such as LangGraph, LangChain, Haystack or similar , together with the ability to work below the framework level when required. Experience designing and deploying AI/ML systems into genuine ...

maintainable at scale. What You'll Be Doing Design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph, LangChain, Haystack or similar where appropriate. Develop orchestration, state management and tool-calling infrastructure required to make agentic systems reliable in production. Integrate large language models … shipping multi-agent or agentic AI systems into production . Strong Python development skills and excellent software engineering fundamentals. Hands-on experience with LangGraph, LangChain, Haystack or similar AI/LLM frameworks , together with the ability to work below the framework level when necessary. Experience designing and deploying AI/ ...

decision on. Key Responsibilities Build the systems themselves. You design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph or Haystack where they help, and building the orchestration, state and tool-calling infrastructure underneath them when they do not. Engineer for production. You write … production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands‐on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems into real ...

decision on. Key Responsibilities Build the systems themselves. You design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph or Haystack where they help, and building the orchestration, state and tool-calling infrastructure underneath them when they do not. Engineer for production. You write … production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands‐on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems into real ...

decision on. Key Responsibilities Build the systems themselves. You design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph or Haystack where they help, and building the orchestration, state and tool-calling infrastructure underneath them when they do not. Engineer for production. You write … production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands-on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems into real ...

decision on. Key Responsibilities Build the systems themselves. You design and build multi-agent AI systems from the ground up, using frameworks such as LangGraph or Haystack where they help, and building the orchestration, state and tool-calling infrastructure underneath them when they do not. Engineer for production. You write … production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands-on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems into real ...

DeployAIsystemsintocloud,on-premises,andair-gappedenvironments Buildproduction-readypipelinesfromdataingestionthroughtoinference ExperiencewithobservabilityforAIsystems,includingagentbehaviour,modelperformance,andfailuremodes Collaboratewithengineers,productleads,andcustomerstotranslaterequirementsintoworkingsystems Contributetoevaluationframeworks,systemintegration,andperformancetracking ActasatechnicalauthorityforagenticAI-settingdesignpatternsforjuniorengineers Requirements Commercialexperiencebuildingmulti-agentoragenticAIsystemsinproduction StrongPythonskillsandhands-onexperiencewithLLMframeworks(LangGraph,LangChain,Haystack,orsimilar) ExperiencedeployingAI/MLsystemsintoproductionenvironments FamiliaritywithDocker,Git,andcloudplatforms(AWSpreferred) Understandingofsecuredeploymentpatterns-air-gapped,on-premises,orsovereigncloud Preferred Experiencewithmultimodalreasoning ExperiencewithedgeorofflineAIdeployments FamiliaritywithKubernetes(EKS/OpenShift)formonitoringandmanagingdeployedapplications MLOpsexperience ...

sales and marketing. Your job is pattern recognition and signal aggregation, not account tracking. Specific, actionable patterns such as “three developers in the LangGraph community hit reconnection failures at scale this month” or “the Temporal objection is coming up across multiple evaluations” are the outputs that change what sales prioritises ...

production support. Good understanding of LLMOps concepts including LLMs, RAG, embeddings, chunking, vectorisation, vector databases, semantic search, prompt engineering, workflow orchestration (DAG/LangGraph), AI guardrails, and model evaluation. Strong experience with API Management platforms such as Amazon API Gateway, Kong, Apigee, or equivalent — with the ability to design, configure … indexing, and retrieval workflows. Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques. Exposure to vector databases, OpenSearch, LangChain/LangGraph, knowledge graphs (Neptune), cloud networking, security best practices, cost optimisation, and enterprise production support. Additional eligibility requirements: · Candidates must hold or be eligible to obtain ...

technologies to design, develop, and deploy intelligent systems that can reason, act, and learn. Experience with frameworks like Crew AI, OpenAI Agent SDK, or Langgraph tool set for orchestrating multi-agent systems is highly valued. You will be a key player in our AI team, responsible for driving the technical … deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar). Deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization. Design and build Retrieval-Augmented ...

developers Conducting regular 121's, setting objectives and assisting with tailored development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/… closely related languages Hands-on experience building or maintaining LLM-powered applications - prompt design, multi-provider integration, and agent orchestration (e.g. LangChain/LangGraph or an equivalent framework) Strong RDBMS experience (e.g. PostgreSQL) and comfort with document stores (e.g. MongoDB) and caching layers (e.g. Redis) Comfortable working with AI-assisted ...

Responsibilities Lead the design and development of AI solutions using language models and agent frameworks. Implement and customise agent frameworks such as Autogen and LangGraph for production-grade systems. Integrate AI capabilities with client systems, digital products, and data sources in collaboration with data engineers. Translate client requirements into scalable … Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation (Docker, Kubernetes), and vector databases. Understanding of agent monitoring tools (Langfuse, OpenTelemetry). Strong software engineering best practices (testing ...

influence how AI capabilities are delivered across the organization. Key Responsibilities: Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production. Develop … deployment and 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 ...

continuous improvement, empowering teams to deliver secure, high-quality software with confidence. Current major projects include delivering AI Gateway and supporting LangChain/LangGraph infrastructure for Elliptic's AI products, managing disaster recovery (DR) infrastructure, and administering Kubernetes clusters across multi-region AWS environments. You’ll work alongside experienced … need to be an ML engineer, but you should be comfortable deploying, securing, and operating AI Gateways and services (e.g. Kong AI Gateway, LangGraph deployments, or similar) You’ll Thrive Here If You Are passionate about building secure, scalable, and reliable systems and helping others do the same. Have ...

AI Engineer GenAI | RAG | AI Agents | Python | SQL Locations: Manchester, Leeds, Edinburgh (preferred) | Birmingham & Bristol considered - hybrid working - 2 days per week in either of the above locations Contract initially until Dec 2026. Day rate ...

Flow Components team, offering a fully remote role with UK work location. You will focus on backend engineering in Python, leveraging LangChain and LangGraph to build secure, reliable Flow Registry features within the Duo Workflow Service and GitLab monolith. You will collaborate across Product, UX, and AI teams to deliver ...

Agentic AI across multiple engineering teams Defining reusable engineering standards, architectures and implementation patterns Designing and evolving production RAG and retrieval architectures Establishing effective LangGraph/LangChain patterns for agentic applications Improving AI evaluation, testing, observability and production monitoring Developing guardrails, controls and approaches to hallucination and model risk Supporting … software engineering fundamentals Production Machine Learning/AI engineering AWS Agentic AI and LLM-based applications Retrieval Augmented Generation (RAG) LangChain and/or LangGraph Vector databases and retrieval MLOps and production deployment AI evaluation, testing and observability AI governance, model risk and engineering controls ML frameworks such as PyTorch ...

technology business. Working directly with an innovative CTO, you'll develop intelligent applications using Agentic AI, LLMs and frameworks such as Loop Harness and LangGraph, helping shape how AI is Embedded into real-world products. This is a role for someone who enjoys experimenting, moving quickly and solving complex problems … experience with TypeScript, Next.js and React. Backend development using Python and modern APIs. Experience building production applications using LLMs or AI services. Knowledge of LangGraph, Loop Harness, MCP or similar agent frameworks. AWS, Docker, Kubernetes and CI/CD experience. Comfortable working across the full technology stack. Experience within ...