1 to 25 of 56 LangGraph Jobs

including prompt engineering, fine-tuning and evaluation. Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex and agent frameworks like AutoGen, CrewAI or LangGraph . Experience building RAG architectures with vector databases (Pinecone, Weaviate, FAISS). Strong understanding of MLOps/LLMOps (MLflow, Kubeflow, Docker, Kubernetes). Experience deploying ...

including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure ...

enterprise stack. Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong ...

through delivery Required Experience Proven experience as an AI Architect/Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI Experience with Kubernetes, Docker, microservices, API integration Strong knowledge ...

Required Experience Demonstrated experience as an AI Architect, Machine Learning Architect, or Generative AI Architect Strong hands-on expertise with LLMs, RAG architectures, LangChain, LangGraph, and prompt engineering Deep cloud knowledge including Azure OpenAI, AWS Bedrock/SageMaker, or GCP Vertex AI Experience with Kubernetes, Docker, microservices architectures ...

architectures , including models such as OpenAI, LLaMA, Mistral or Claude. Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI or LangGraph . Experience designing AI systems using vector databases (e.g. Pinecone, Weaviate, FAISS). Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies . Experience ...

databases, RAG architectures and their integration into enterprise systems You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow. You are familiar with core agent communication protocols, including MCP or A2A. You are a person who loves to stay current with ...

equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

pipelines, including model versioning, evaluation frameworks, A/B testing, and automated prompt regression testing Familiarity with multi-agent frameworks (e.g. Microsoft Agent Framework, LangGraph) and document intelligence pipelines for structured data extraction Experience with data engineering tooling such as Microsoft Fabric for building analytics and reporting pipelines Experience implementing ...

Stack: Hands-on experience with Amazon Bedrock APIs, SageMaker (Training Jobs, Inference Endpoints), and Vector Databases. · Frameworks: extensive experience with LangChain, LlamaIndex, or LangGraph for building agentic workflows. · LLM Techniques: Practical experience with Prompt Engineering (Chain-of-Thought, ReAct), RAG optimisation, and model evaluation techniques. Advantageous Skills · Middleware Integration: Practical ...

source, or industry impact). Technical Excellence Expert Python and modern ML frameworks (PyTorch, TensorFlow). Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar). Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security. Hands-on experience with fine-tuning, deploying, and monitoring large ...

record (core banking, CRM, risk, payments). Design audit-ready agent interactions, tool usage logs, and decision provenance. Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns). Hands-on expertise with agentic frameworks (orchestrators). Experience with LLMs, prompt engineering, tool/function calling, memory management. ...

failure modes Practical experience with RAG , vector databases, knowledge graphs, and prompt engineering Experience building multi‐step LLM workflows and agentic systems (e.g. LangChain, LangGraph, Claude Agents SDK, Strands, or custom frameworks) Strong proficiency in Python (or similar language) and developing production APIs/services Cloud experience with ...

systems of record (core banking, CRM, risk, payments) Design audit ready agent interactions, tool usage logs, and decision provenance Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns) Hands on expertise with agentic frameworks (orchestrators) Experience with LLMs, prompt engineering, tool/function calling, memory management API first ...

record (core banking, CRM, risk, payments). Design audit ready agent interactions, tool usage logs, and decision provenance. Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns). Hands on expertise with agentic frameworks (orchestrators). Experience with LLMs, prompt engineering, tool/function calling, memory management. ...

record (core banking, CRM, risk, payments). Design audit ready agent interactions, tool usage logs, and decision provenance. Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns). Hands on expertise with agentic frameworks (orchestrators). Experience with LLMs, prompt engineering, tool/function calling, memory management. ...

record (core banking, CRM, risk, payments). Design audit-ready agent interactions, tool usage logs, and decision provenance. Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns). Hands-on expertise with agentic frameworks (orchestrators). Experience with LLMs, prompt engineering, tool/function calling, memory management. ...

startup environment. Proven track record building and deploying production-grade agentic systems — ideally automating complex, multi-step workflows. Hands-on experience with Mastra, LangChain, LangGraph, Vercel AI SDK, or similar agent orchestration tools. Strong understanding of LLM evaluation, prompt design, and domain-specific model tuning techniques. Deep understanding of large ...

discipline • Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks) • Experience with agent orchestration frameworks (e.g., LangGraph) • Strong software engineering fundamentals such as writing clean code, version control, testing • Excellent communication skills and comfort working in fast-paced, cross-functional teams Preferred ...

GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/ ...

GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/ ...

GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/ ...

applied ML development Proficient in Python, JavaScript/TypeScript, APIs, Git, and cloud services (AWS, Azure, or GCP) Experience with OpenAI, Claude, Bedrock, LangGraph, or similar frameworks Experience with LLM validation tools such as Ragas or DeepEval as well as non-LLM-as-a-judge approaches ...

production environments. Strong experience working with LLMs via APIs (e.g. OpenAI, Claude, Gemini) in real-world applications. Hands-on experience with agentic frameworks (e.g. LangGraph) and building multi-step AI workflows. Experience designing RAG architectures and working with enterprise data. Experience building evaluation frameworks for LLM or agent-based systems. ...