251 to 275 of 299 LangGraph Jobs

widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power ...

partnerships with colleagues at various levels and across multiple locations. Proven experience building and deploying multi-agent systems, including use of orchestration frameworks (e.g. LangGraph, ADK), agent design patterns, and production-grade system integration. Preferred Qualifications, Capabilities, and SkillsAdvanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics ...

this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers ...

sales and marketing. Your job is pattern recognition and signal aggregation, not account tracking. Specific, actionable patterns such as “three developers in the LangGraph community hit reconnection failures at scale this month” or “the Temporal objection is coming up across multiple evaluations” are the outputs that change what sales prioritises ...

production support. Good understanding of LLMOps concepts including LLMs, RAG, embeddings, chunking, vectorisation, vector databases, semantic search, prompt engineering, workflow orchestration (DAG/LangGraph), AI guardrails, and model evaluation. Strong experience with API Management platforms such as Amazon API Gateway, Kong, Apigee, or equivalent — with the ability to design, configure … indexing, and retrieval workflows. Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques. Exposure to vector databases, OpenSearch, LangChain/LangGraph, knowledge graphs (Neptune), cloud networking, security best practices, cost optimisation, and enterprise production support. Additional eligibility requirements: · Candidates must hold or be eligible to obtain ...

technologies to design, develop, and deploy intelligent systems that can reason, act, and learn. Experience with frameworks like Crew AI, OpenAI Agent SDK, or Langgraph tool set for orchestrating multi-agent systems is highly valued. You will be a key player in our AI team, responsible for driving the technical … deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar). Deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization. Design and build Retrieval-Augmented ...

. Key Responsibilities Design, develop, and deploy agentic AI and multi-agent solutions using AWS. Build agent orchestration and agent-to-agent workflows using LangGraph, Strands, or similar frameworks . Develop AI agents using Amazon Bedrock and Bedrock AgentCore . Implement tool/function calling, agent memory, context management … foundation models. Experience with Amazon Bedrock AgentCore or equivalent agent platforms. Strong Python programming experience. Experience with multi-agent architectures and frameworks such as LangGraph or Strands. Experience with RAG, Knowledge Bases, embeddings, and vector search . Strong understanding of DevOps and CI/CD practices . Hands-on experience ...

developers Conducting regular 121's, setting objectives and assisting with tailored development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/… closely related languages Hands-on experience building or maintaining LLM-powered applications - prompt design, multi-provider integration, and agent orchestration (e.g. LangChain/LangGraph or an equivalent framework) Strong RDBMS experience (e.g. PostgreSQL) and comfort with document stores (e.g. MongoDB) and caching layers (e.g. Redis) Comfortable working with AI-assisted ...

Responsibilities Lead the design and development of AI solutions using language models and agent frameworks. Implement and customise agent frameworks such as Autogen and LangGraph for production-grade systems. Integrate AI capabilities with client systems, digital products, and data sources in collaboration with data engineers. Translate client requirements into scalable … Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation (Docker, Kubernetes), and vector databases. Understanding of agent monitoring tools (Langfuse, OpenTelemetry). Strong software engineering best practices (testing ...

agent decomposition, tool-calling design, memory and state management, error handling and human-in-the-loop integration. Lead implementation across the agent framework stack — LangGraph, LangChain or equivalent — with a strong opinion on framework choice and lifecycle. Design integration patterns with our systems of record, with primary focus on read … workflows, portfolio management, client servicing, and the operational and regulatory constraints of financial institutions. Hands-on, recent experience with at least one agentic framework — LangGraph, LangChain, AutoGen, CrewAI, or comparable — including supervisor/multi-agent patterns. Strong AWS engineering background (Bedrock, Lambda, S3, IAM, CloudWatch); production operating experience ...

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 … Systems CI/CD Pipelines Technical Architecture Enterprise Deployment Tools & Technologies Google Cloud Platform Vertex AI BigQuery Cloud SQL Google Cloud Storage Docker Kubernetes LangGraph LangChain AutoGen #J-18808-Ljbffr ...

influence how AI capabilities are delivered across the organization. Key Responsibilities: Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production. Develop … deployment and management on AKS. Strong hands-on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi-step agentic workflows and tool-calling agents. Hands-on experience with Azure AI Search or other vector/hybrid search solutions ...

continuous improvement, empowering teams to deliver secure, high-quality software with confidence. Current major projects include delivering AI Gateway and supporting LangChain/LangGraph infrastructure for Elliptic's AI products, managing disaster recovery (DR) infrastructure, and administering Kubernetes clusters across multi-region AWS environments. You’ll work alongside experienced … need to be an ML engineer, but you should be comfortable deploying, securing, and operating AI Gateways and services (e.g. Kong AI Gateway, LangGraph deployments, or similar) You’ll Thrive Here If You Are passionate about building secure, scalable, and reliable systems and helping others do the same. Have ...

Hungry for a challenge? That’s good, because at Just Eat Takeaway.com (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery ...

AI Engineer GenAI | RAG | AI Agents | Python | SQL Locations: Manchester, Leeds, Edinburgh (preferred) | Birmingham & Bristol considered - hybrid working - 2 days per week in either of the above locations Contract initially until Dec 2026. Day rate ...

Flow Registry, providing reusable primitives for agentic flows on the Duo Agent Platform. Your focus will be backend development in Python, using LangChain and LangGraph to develop secure, reliable, and scalable capabilities across the Duo Workflow Service and the GitLab monolith. You'll also work across the stack when needed ...

Flow Components team, offering a fully remote role with UK work location. You will focus on backend engineering in Python, leveraging LangChain and LangGraph to build secure, reliable Flow Registry features within the Duo Workflow Service and GitLab monolith. You will collaborate across Product, UX, and AI teams to deliver ...

APIs, and workflow orchestration Ability to assess trade-offs (autonomy vs control, cost vs performance, etc.) Nice-to-Have Skills Experience with tools like LangGraph, n8n, orchestration frameworks Knowledge of AI observability and evaluation frameworks Experience in sovereign or restricted deployment environments Background in ITSM or managed services automation Experience ...

automation capabilities. Key Responsibilities Build production-grade GenAI, LLM, RAG and Agentic AI solutions Develop AI Agents and Multi-Agent Systems Work with LangChain, LangGraph and MCP Build intelligent retrieval using Embeddings, Vector Databases and Semantic Search Apply Prompt & Context Engineering Integrate AI solutions through REST APIs and cloud platforms …/GenAI Engineer Strong Python and SQL Hands-on experience with LLMs, RAG, AI Agents and Agentic AI Experience with LangChain and/or LangGraph Experience with MCP Knowledge of Embeddings and Vector Databases Experience deploying AI solutions in enterprise environments Cloud experience across Azure, AWS or GCP Understanding ...

Agentic AI across multiple engineering teams Defining reusable engineering standards, architectures and implementation patterns Designing and evolving production RAG and retrieval architectures Establishing effective LangGraph/LangChain patterns for agentic applications Improving AI evaluation, testing, observability and production monitoring Developing guardrails, controls and approaches to hallucination and model risk Supporting … software engineering fundamentals Production Machine Learning/AI engineering AWS Agentic AI and LLM‐based applications Retrieval Augmented Generation (RAG) LangChain and/or LangGraph Vector databases and retrieval MLOps and production deployment AI evaluation, testing and observability AI governance, model risk and engineering controls ML frameworks such as PyTorch ...

Agentic AI across multiple engineering teams Defining reusable engineering standards, architectures and implementation patterns Designing and evolving production RAG and retrieval architectures Establishing effective LangGraph/LangChain patterns for agentic applications Improving AI evaluation, testing, observability and production monitoring Developing guardrails, controls and approaches to hallucination and model risk Supporting … software engineering fundamentals Production Machine Learning/AI engineering AWS Agentic AI and LLM-based applications Retrieval Augmented Generation (RAG) LangChain and/or LangGraph Vector databases and retrieval MLOps and production deployment AI evaluation, testing and observability AI governance, model risk and engineering controls ML frameworks such as PyTorch ...

technology business. Working directly with an innovative CTO, you'll develop intelligent applications using Agentic AI, LLMs and frameworks such as Loop Harness and LangGraph, helping shape how AI is Embedded into real-world products. This is a role for someone who enjoys experimenting, moving quickly and solving complex problems … experience with TypeScript, Next.js and React. Backend development using Python and modern APIs. Experience building production applications using LLMs or AI services. Knowledge of LangGraph, Loop Harness, MCP or similar agent frameworks. AWS, Docker, Kubernetes and CI/CD experience. Comfortable working across the full technology stack. Experience within ...

developers Conducting regular 121's, setting objectives and assisting with tailored development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/… closely related languages Hands-on experience building or maintaining LLM-powered applications - prompt design, multi-provider integration, and agent orchestration (e.g. LangChain/LangGraph or an equivalent framework) Strong RDBMS experience (e.g. PostgreSQL) and comfort with document stores (e.g. MongoDB) and caching layers (e.g. Redis) Comfortable working with AI-assisted ...

.Expert-level proficiency in programming languages (R or Python) and experience applying these to agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).Exceptional skills in prompt engineering, assessing use cases for agentic feasibility, and converting complex workflows into logical, step-by-step tasks. Deep expertise in data … Ph.D. in a quantitative discipline. Leadership experience driving technology and investment teams.3+ years developing agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).10+ years' experience with financial modeling, portfolio construction, trading, or investment management workflows. Experience with advanced retrieval-augmented generation and multi-agent systems. Certifications such ...

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. ...