1 to 25 of 65 Remote LangGraph Jobs

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 ...

skills: Strong experience developing scalable, modular, and maintainable Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep ...

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 ...

production use cases including classification, summarisation, code generation, and autonomous decision-making. Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns. Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps ...

/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/ ...

professional servicesDesirablePrevious forward deployed, solutions engineering or technical leadership experienceCommercial awareness and product thinking, including scoping and estimating technical workAgent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or the OpenAI and Anthropic agent SDKsLLM evaluation and observability tools such as Langfuse, LangSmith, Arize or BraintrustDeeper ontology or knowledge graph ...

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 ...

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 ...

Python experience and confidence reviewing code across LLM, agentic, NLP and classical ML systems.Hands-on experience with modern agent frameworks such as Strands Agents, LangGraph or the Claude Agent SDK, and with interoperability standards such as MCP and A2A.Strong cloud-native expertise on AWS, especially Amazon Bedrock and Bedrock AgentCore ...

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 ...

such as FastAPI.Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems.Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies.A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring.Experience creating automated evaluations for generative AI applications.Experience with ...

FastAPI.Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring. Experience creating automated evaluations for generative AI applications. ...

excellence through testing, automation, documentation, and continuous improvement.AI-Native Software DevelopmentBuild production-grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies.Apply an AI-first mindset to software development by incorporating AI-assisted tools and automation into daily engineering practices.Identify manual or repetitive ...

through testing, automation, documentation, and continuous improvement. AI-Native Software DevelopmentBuild production-grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies. Apply an AI-first mindset to software development by incorporating AI-assisted tools and automation into daily engineering practices. Identify manual ...

embeddings, reranking, evaluation, and monitoring.Experience defining evaluation approaches and using evidence to guide model, architecture, and release decisions.Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies.Strong experience designing and operating cloud systems using AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices.Familiarity with services such ...

evaluation, and monitoring. Experience defining evaluation approaches and using evidence to guide model, architecture, and release decisions. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. Strong experience designing and operating cloud systems using AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices. Familiarity with services such ...

Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery Ability to communicate ...

Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery Ability to communicate ...

Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery Ability to communicate ...

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 ...

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

concept applications. Ideally, you'll bring experience across: LLMs & Agentic AI: Experience building applications using OpenAI, Anthropic Claude, AWS Bedrock or similar. AI Orchestration: LangGraph, LangChain, Strands Agents, Semantic Kernel, AutoGen or comparable frameworks. Backend Engineering: Strong Python development skills, ideally with FastAPI or similar frameworks. RAG & Knowledge Systems: Vector ...

with a track record of influencing engineering, product, infrastructure, and executive leadership teams across complex, matrixed organizations. Preferred QualificationsFamiliarity with AI ecosystems such as LangGraph, Semantic Kernel, OpenAI, Azure OpenAI, or Anthropic, and/or vector stores such as Pinecone, Weaviate, OpenSearch, or PostgreSQL pgvector. Experience building AI-powered applications ...