26 to 50 of 82 Remote/Hybrid LangGraph Jobs

transformer‐based 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 ...

multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency ...

pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. ...

pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. ...

pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. ...

pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. ...

technically complex challenges Excellent communication and collaboration skills within multidisciplinary teams Nice to have (but not required) Experience with AI frameworks such as LangChain, LangGraph or similar Experience deploying AI workloads within AWS, Azure or GCP Knowledge of MLOps, containerisation or Kubernetes Experience working on National Security, Defence or Intelligence ...

distinct advantage.* Extensive hands-on experience with **Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks** (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel).* Deep comfort and practical experience with **containers and orchestration technologies, specifically OpenShift**.* Demonstrated ability to architect ...

distinct advantage. Extensive hands‐on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel). Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift. Demonstrated ability to architect, develop ...

using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques ...

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 ...

relying on jargon. Tooling Familiarity : Familiarity with AWS Bedrock and hands-on experience with open-source AI tooling. Bonus Points : Familiarity with agentic frameworks (LangGraph, CrewAI, Claude Agent SDK) and enterprise data classification. What does success look like? First 6 months : You will have completed a full AI tool ...

/LLM Expertise : Hands-on experience working with AI tools and APIs to automate workflows or enhance product capabilities eg Claude API, OpenAI API, LangGraph, LangSmith, RAG, Prompt Engineering, Agentic AI (Certifications). The Startup Mindset : You are pragmatic. You understand the value of testing and process ...

relying on jargon. Tooling Familiarity: Familiarity with AWS Bedrock and hands-on experience with open-source AI tooling. Bonus Points: Familiarity with agentic frameworks (LangGraph, CrewAI, Claude Agent SDK) and enterprise data classification. What does success look like? First 6 months You will have completed a full AI tool ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

environments (FS preferred). Proven experience building agentic solutions using Microsoft Copilot Studio/Foundry, AWS Bedrock/AgentCore, and frameworks such as LangChain, LangGraph, CrewAI, Strands. Comfortable across Microsoft and AWS cloud ecosystems, including LLM gateway/Bedrock patterns, data residency, SSO/OIDC federation, and cost controls. Experience ...

raise the engineering bar. Champion best practices for governance, observability, and lifecycle management of AI systems. Evaluate and introduce emerging frameworks, including Autogen , LangGraph , and other agentic ecosystems. Partner with senior stakeholders to align AI strategy with business goals. Drive the evolution of our internal platform ( Pathway ) to enable faster ...

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. ...

systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred ...

codebase Fluent or willing to learn Go Hands-on experience building and operating production AI applications using LLMs and agentic frameworks (e.g., RAG, MCP, LangGraph or similar), including tool integration, prompt design, evaluation, guardrails, and token/cost optimization. Demonstrate ability to create reliable agents (prompting, evaluation, guardrails, understanding ...