26 to 50 of 112 Remote/Hybrid LangGraph Jobs

certifications. TM Forum Open API certification. Nice-to-Have Qualifications Experience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms. Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks. Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Cisco NSO, Juniper Paragon, or similar orchestration platforms. Experience building secure automation ...

certifications.* TM Forum Open API certification.**Nice-to-Have Qualifications*** Experience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms.* Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks.* Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Cisco NSO, Juniper Paragon, or similar orchestration platforms.* Experience building secure automation ...

systems + Prompt engineering and basic agent workflows + Vector search and retrieval concepts* Familiarity with Gen‐AI frameworks/tools such as **LangChain, LangGraph, MLflow, or workflow orchestration tools (e.g., n8n)** *(hands‐on experience preferred, but deep ML expertise not mandatory)** Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude ...

model sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks ...

model sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks ...

landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large ...

landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large ...

landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large ...

landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large ...

modern application architecture. Hands-on experience with LLMs (GPT, Claude, Gemini, Azure OpenAI). Experience building Agentic AI and RAG solutions. Hands-on with LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP, or similar frameworks. Experience with Azure AI Foundry, Azure OpenAI, AKS, Containers, Cosmos DB, SQL, REST APIs, and Microservices. Proven ...

Models (LLMs) and transformer‐based systemsPrompt engineering and basic agent workflowsVector search and retrieval conceptsFamiliarity with Gen‐AI frameworks/tools such as LangChain, LangGraph, MLflow, or workflow orchestration tools (e.g., n8n) (hands‐on experience preferred, but deep ML expertise not mandatory)Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude ...

outcomes (casual AI usage is insufficient). Experience with LLMs and AI architectures, with experience designing and implementing agentic AI systems using frameworks like LangGraph, Semantic Kernel, AutoGen, or CrewAI. Deep knowledge of Retrieval-Augmented Generation (RAG), Vector databases, prompt engineering best practices, and model selection trade-offs. Strong understanding ...

scope and impact of your work Although not essential, it would be great if you have practical experience with: Experience with Spring AI, LangChain, LangGraph, LlamaIndex, or similar AI application frameworks Familiarity with modern front-end technologies (such as React and Next.js). Python Kubernetes, Docker and CI/ ...

engineering experience, with at least 1-2 years of meaningful production work building LLM-powered features. Direct experience with LLM frameworks such as LangChain, LangGraph, or similar. Hands-on experience building agentic systems: tool use, multi-step reasoning, planning, memory, and human-in-the-loop patterns. Practical understanding of prompt ...

wider CDO organisations, and Internal Audit. Technologies You’ll Work With LLMs and agentic frameworks RAG architectures AI agents and orchestration (e.g. LangChain/LangGraph) Python and modern data engineering Snowflake and governed semantic layers AWS/GCP cloud services Vector databases Data pipelines and MLOps tooling Business intelligence ...

work with or learn GoHands-on experience building and operating production AI applications using large language models and agentic frameworksUnderstanding of RAG, MCP, LangGraph or similar technologies, including tool integration and prompt designExperience creating reliable AI agents through evaluation, guardrails and token and cost optimisationProficiency with Docker, Kubernetes and isolated ...

with or learn Go Hands-on experience building and operating production AI applications using large language models and agentic frameworks Understanding of RAG, MCP, LangGraph or similar technologies, including tool integration and prompt design Experience creating reliable AI agents through evaluation, guardrails and token and cost optimisation Proficiency with Docker ...

segmentation, and content personalisation. Advanced Agentic Workflows: Research and implement agentic design patterns such as planning, reflection, and tool usage using orchestration frameworks like LangGraph, AutoGen, or CrewAI. Cross-Functional Collaboration: Work closely across the organisation to translate ambiguous business objectives into discrete agent personas, tool definitions, and behavioural boundaries. ...

machine learning certifications or Bedrock specific training Hands on experience with LLM applications, agent frameworks or orchestration tooling, e.g. Bedrock AgentCore, Strands, LangGraph or MCP Experience building or contributing to an internal developer platform or shared enterprise capability Experience with event driven architecture and messaging platforms (e.g. Kafka ...

Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Guardrails AI Evaluation Frameworks Experience with AI frameworks such as Agent Development Kit (ADK), LangChain, LangGraph, CrewAI, or similar. Experience working with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Strong understanding of system reliability, observability, monitoring ...

applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration. Proficiency in ML/NLP and generative models; experience with embeddings, vector stores ...

/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape how AI is securely adopted across a large-scale global organisation. Hybrid ...

/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape how AI is securely adopted across a large-scale global organisation. Hybrid ...

/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape how AI is securely adopted across a large-scale global organisation. Hybrid ...

workflow automation Python, C# and/or TypeScript APIs and system integration SQL/databases Cloud platforms, particularly Azure Frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar Most importantly, you will be someone who understands how to turn AI capabilities into robust, commercially useful software. The Person This ...