1 to 25 of 131 LangGraph Jobs

vector databases (Pinecone, Weaviate, FAISS). Experience in designing and scaling GenAI chatbots. Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler Good understanding of Responsible AI principles Ability to transform business problems into analytical ...

experience with Generative AI, LLMs, RAG solutions and AI agent frameworks. Experience with technologies such as OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, LangChain, LangGraph and LlamaIndex. Experience deploying and monitoring AI solutions using MLOps and LLMOps best practices. Knowledge of Azure, AWS or GCP, alongside CI/CD, Docker, Kubernetes ...

cloud platforms such as AWS, Azure, or Google Cloud. Bonus Points For Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies. Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards. Experience with LLM observability and evaluation platforms such ...

Agents), Amazon SageMaker, Amazon Q, Amazon OpenSearch (vector), and Guardrails for Amazon Bedrock. Expertise in agentic frameworks and orchestration patterns (e.g. Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI or equivalents) and emerging standards such as the Model Context Protocol (MCP).Expertise in RAG and retrieval patterns using vector stores and embedding ...

Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL ...

Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/ ...

Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/ ...

Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & ObservabilityInfrastructure-as-code ...

/ML pipelines or prototypes; vector databases; prompt engineering; orchestration tools (Airflow/Prefect); Git Advisory: designing AI/data architectures; Agentic AI principles (LangGraph, CrewAI, AutoGen); mentoring specialists without formal authority; AI governance (security, privacy, observability) Desirable: cloud platforms (AWS/Azure/GCP); Docker/Kubernetes; MLOps/ ...

involving multiple agents, models, tools and services. Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing ...

cloud platforms — such as Google Vertex AI Agent Builder, AWS Bedrock, or Azure OpenAI Familiarity with agentic AI frameworks and tooling — such as LangGraph, LangChain, LlamaIndex, or CrewAI — and how they are applied Experience with retrieval-augmented generation (RAG) architectures, vector databases, and LLM-powered applications as part ...

ability to explain complex AI concepts to non-technical stakeholders. Bonus Skills/Experience: Agentic Systems: Experience designing and orchestrating autonomous agentic workflows (e.g., LangGraph) and managing agent state/memory. Cloud: Experience working with cloud infrastructure (Azure, AWS, or GCP).Agile Delivery: Experience working in an Agile development environment. ...

enterprise environments Some experience working within engineering teams in agile, client-facing delivery contexts AI, data and technology awareness Practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector ...

Beat and Flower . Experience building MCP (Model Context Protocol) servers and tools . Experience implementing agentic AI workflows using LangChain and/or LangGraph . Strong front-end development experience using React . Experience with AG Grid and complex data-driven interfaces. Strong SQL skills, ideally with Oracle database ...

Beat and Flower . Experience building MCP (Model Context Protocol) servers and tools . Experience implementing agentic AI workflows using LangChain and/or LangGraph . Strong front-end development experience using React . Experience with AG Grid and complex data-driven interfaces. Strong SQL skills, ideally with Oracle database ...

React applications using TypeScript. Familiarity with frameworks such as Next.js, Vite, or similar. Generative AI Technologies Experience with Generative AI frameworks such as LangChain, LangGraph, CrewAI, Vercel AI, or equivalent tools. Practical experience working with Large Language Models (LLMs), including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar. Familiarity ...

building LLM-powered and agentic AI applications, including RAG, NLP and traditional machine learning solutions. Practical experience with modern agent frameworks such as LangGraph, Strands Agents or Claude Agent SDK, alongside interoperability standards including MCP and A2A. Strong AWS cloud engineering experience, particularly Amazon Bedrock, Bedrock AgentCore, SageMaker, Lambda ...

U.S., Europe, India, and SingaporeContinuous learning – gain hands-on experience with cloud platforms, AI technologies, middleware systems, and modern engineering practicesCore TechnologiesPythonJavaGoAI - LLM Frameworks (LangGraph, LangChain, Agent Frameworks)AWS - GCP - AzureKubernetes - DockerTerraform - AnsibleJenkinsPrometheus - Grafana - SplunkKafka - FlinkSpring BootTomcatIBM MQDataPowerLinux - UnixWhat You'll DoBuild Production-Grade SoftwareDesign and develop scalable automation platforms ...

etc.). Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred: Familiarity with AI/ML tools such as LangGraph, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them. Exposure to working ...

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 ...

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 ...

+2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 ...

+2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 ...

document-processing tools CI/CD and MLOps practices Experience designing multi-agent or tool-based AI workflows using technologies such as: Bedrock AgentCore LangGraph CrewAI Strong experience with Amazon OpenSearch vector search (k-NN) and semantic retrieval Highly Desirable Amazon Textract, Comprehend or Kendra experience AML/KYC domain ...

stakeholders Desirable Experience working within Financial Services, Insurance or other highly regulated environments would be advantageous. Databricks, MLflow and modern AI platform experience LangChain, LangGraph, Semantic Kernel, AutoGen or similar frameworks Retrieval-Augmented Generation (RAG) architectures Multi-agent orchestration platforms Responsible AI and governance experience Why Join? Join a business ...