101 to 125 of 157 Remote LangGraph Jobs

/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG,Agentic AI(e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external training opportunities, with specialist ...

/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG,Agentic AI(e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external training opportunities, with specialist ...

essential) Understanding of CI/CD pipelines (essential) Strong documentation and requirements analysis skills (essential) Experience with process automation frameworks such as LangChain or LangGraph (essential) JavaScript coding ability (desirable) Familiarity with security automation concepts (desirable) Understanding of cybersecurity principles and operational processes (desirable) Experience building prototypes or proof ...

optimisation or sequential decision‐making. Experience designing model evaluations and translating research ideas into reliable software. Desirable Experience Experience developing multi‐agent systems using LangGraph, AutoGen, smolagents or similar frameworks. Experience with LLM fine‐tuning, DPO, GRPO, PPO, RLHF or RLAIF. Experience designing reward functions, graders or agent training environments. ...

platforms and AI systems into production. Deep understanding of AI evaluation methodologies and guardrail implementations.Frameworks & Tools: Hands-on experience with agentic frameworks (Google ADK, LangGraph), LLMs (Gemini, Claude, open-source), cloud and database architecture (Cloud SQL, Firestore, BigQuery, Postgres), and AI security & observability (OpenTelemetry, guardrails, LLM gateways).Data & Workload Orchestration ...

need to be a proficient programmer in Python, with extensive experience in the use of libraries, tools (docker, git) and frameworks (e.g. LangChain/LangGraph or similar) to support efficient development.Typical Responsibilities:Propose and lead novel research in given topic areas.Lead technical delivery of small project teams. Prepare and deliver ...

need to be a proficient programmer in Python, with extensive experience in the use of libraries, tools (docker, git) and frameworks (e.g. LangChain/LangGraph or similar) to support efficient development. Typical Responsibilities: Propose and lead novel research in given topic areas. Lead technical delivery of small project teams. Prepare ...

need to be a proficient programmer in Python, with extensive experience in the use of libraries, tools (docker, git) and frameworks (e.g. LangChain/LangGraph or similar) to support efficient development. Typical Responsibilities: Propose and lead novel research in given topic areas. Lead technical delivery of small project teams. Prepare ...

background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders ...

knowledge graphs, document indexing or source-attributed answer generation Agent SDKs, workflow frameworks or application libraries such as the OpenAI Agents SDK, Anthropic tooling, LangGraph, Vercel AI SDK or equivalent approaches Agent harnesses or coding-agent environments such as Claude Code, Codex, Pi, OpenHands or similar systems Evaluation frameworks, tracing ...

first integration: designing AI agents that plan, dispatch, and supervise robot missions; MCP servers and tool interfaces over robot APIs; orchestration frameworks such as LangGraph, Pydantic AI, or provider-native SDKs; permissioning, human-in-the-loop escalation, and audit trails for autonomous physical action Robotics foundation models: working awareness ...

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 ...

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 ...