26 to 50 of 54 LangGraph Jobs

or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some experience with frontend software development (e.g. More ❯

or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some experience with frontend software development (e.g. More ❯

or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some experience with frontend software development (e.g. More ❯

drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and … Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and More ❯

drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and … Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and More ❯

drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and … Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and More ❯

drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and … Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and More ❯

drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and … Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and More ❯

teams, and embed models directly into business processes. Think real impact, not just proof of concept. What You'll Do Build and deploy AI products using Azure ML, LangChain, LangGraph, and Fabric tools Lead Co-Pilot enablement across the firm and help shape data governance around AI use Work closely with users to develop solutions that drive measurable results Use More ❯

Applied AI Engineer/Senior AI Engineer | £70k-£140k + Benefits + Shares | London (Hybrid, 3 Days/Week) Full Stack AI Engineer is required by a leading AI consultancy, one of only 4 businesses Globally who are partnered with More ❯

engineers while raising the quality bar. Collaborate : Translate product goals into clear technical execution through strong communication and cross-team alignment. Nice to Have Experience with orchestration frameworks ( LangChain, LangGraph ) and multi-agent workflows Knowledge of vector databases, RAG pipelines, and lightweight model hosting Ability to design data pipelines and feedback loops for improving AI-driven features Awareness of emerging More ❯

and distributed systems to create AI solutions that can autonomously handle complex workflows and decision-making processes. Key Responsibilities: Agent Development & Architecture: Design and implement multi-agent systems using LangGraph for complex workflow orchestration Build autonomous AI agents capable of planning, reasoning, and task execution Develop agent communication protocols and coordination mechanisms Create robust error handling and recovery systems for … search algorithms Build knowledge graph integration for enhanced agent reasoning Implement efficient caching and data persistence strategies Required Technical Skills: Core AI/ML Frameworks Expert-level proficiency with LangGraph for agent workflow orchestration Deep experience with LangChain for LLM application development Hands-on experience with Google Cloud AI services (Vertex AI, Gemini, PaLM) Strong understanding of prompt engineering and More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We More ❯

Mandatory Qualifications: Strong proficiency in Python Expertise in FastAPI for backend development Experience with LangChain and LangGraph Hands-on experience with Retrieval-Augmented Generation (RAG) Proficiency in vector databases (Milvus, FAISS, or similar) Database integration (MongoDB/PostgreSQL, GraphDB) Experience integrating AWS Bedrock models Desired Qualifications: Prompt engineering for optimizing LLM interactions Ability to design and deploy AI agents using … LangGraph, CrewAI etc Experience in multi-step reasoning and AI workflows Experience deploying AI models in production environments Expertise in AWS cloud platforms for scalable Generative AI applications Familiarity with data science libraries (scikit-learn, TensorFlow) Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be More ❯

prototype and deploy agentic solutions in production. Ensure safety, explainability, and reliability of agentic AI systems. Stay current with advancements in autonomous AI, cognitive architectures, and agent frameworks (e.g., LangGraph, AutoGPT, CrewAI). Write clean, testable, and efficient code with appropriate documentation and design patterns. Required Qualifications: Bachelor's or Master's in Computer Science, Artificial Intelligence, or related field. … agentic AI systems. Strong programming skills in Python (or similar), and experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience with one or more of: LangChain, LangGraph, AutoGPT, ReAct, or similar agentic architectures. Solid understanding of LLMs, prompt engineering, and tool integration (APIs, plugins, retrieval-augmented generation). Familiarity with planning algorithms, reinforcement learning, or symbolic reasoning. More ❯

aimed at improving efficiency and quality. Improve the speed and reliability of our data pipelines. Key Responsibilities Design, build and ship production-grade agentic workflows in Python (ideally using LangGraph). Support CI/CD and infra for AI services (ideally using Docker, Cloud Run & GitHub Actions). Optimise the cost and performance of AI services. Run experiments (A/… subject. Minimum of 3 years of experience as an AI/ML/Data Engineer. Experience in applying LLMs and developing, testing and deploying agentic systems in Python (ideally LangGraph) Deep knowledge of Python and relevant libraries (LangChain, LangGraph, FastAPI, Pydantic, etc) Experience in designing, building, testing, deploying and maintaining data pipelines (ideally using Airflow/Cloud Composer) Experience in More ❯

You will work closely with HR stakeholders, data scientists, and legal compliance teams to build secure and scalable multi-agent AI solutions using modern frameworks such as LangChain, AutoGen, LangGraph, and RAG. Key Responsibilities: Architect and implement AI-powered tools to automate and enhance HR workflows (e.g., onboarding, employee queries, policy navigation). Design and deploy conversational agents using LangChain … and AutoGen for internal use. Build modular and scalable pipelines using LangGraph for multi-agent orchestration. Integrate RAG systems to enable context-aware document retrieval from internal HR/legal databases. Required Skills & Experience: Solid exposure in AI/ML engineering, with a strong focus on NLP and LLMs. Proven hands-on knowledge with: LangChain, AutoGen, LangGraph and RAG Strong More ❯

You will work closely with HR stakeholders, data scientists, and legal compliance teams to build secure and scalable multi-agent AI solutions using modern frameworks such as LangChain, AutoGen, LangGraph, and RAG. Key Responsibilities: Architect and implement AI-powered tools to automate and enhance HR workflows (e.g., onboarding, employee queries, policy navigation). Design and deploy conversational agents using LangChain … and AutoGen for internal use. Build modular and scalable pipelines using LangGraph for multi-agent orchestration. Integrate RAG systems to enable context-aware document retrieval from internal HR/legal databases. Required Skills & Experience: Solid exposure in AI/ML engineering, with a strong focus on NLP and LLMs. Proven hands-on knowledge with: LangChain, AutoGen, LangGraph and RAG Strong More ❯

re Looking For Required: Proven track record building and deploying LLM/agentic systems into production. Strong software engineering foundations: orchestration, memory, deployment, monitoring. Familiarity with agentic architectures (e.g. LangGraph, ReAct, CoT loops) and/or ability to build without frameworks. Confident in client-facing settings: workshops, presentations, advisory roles. Preferred: Advanced degree in AI, Computer Science, or related field. … AI adoption and contribute to the wider AI ecosystem. Culture: Join a fast-moving team operating at the frontier of applied AI. Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers, AI Jobs Remote. More ❯

Datasmoothie is a data analysis solution designed specifically for market researchers.They are part of the Global Data Management Tower within Ipsos and their products offer an all-in-one solutions that helps users create and manage their data pipeline automating More ❯

and employee experiences. Responsibilities Lead the architecture, design, and governance of AI/GenAI solutions across the enterprise. Define and oversee implementation of agent-based architectures using AWS Bedrock, LangGraph, and MCP. Partner with business leaders to identify opportunities for AI-powered transformation across customer and employee journeys. Ensure AI systems are designed with security, scalability, observability, and compliance in … AI solutions. Qualifications & Experience 10+ years in IT/Technology with 4+ years in AI/ML solution design and architecture. Proven experience with LLMs, AWS Bedrock, Agentic AI, LangGraph, MCP, RAG architectures, and MLOps. Strong background in enterprise architecture and integration with existing IT ecosystems. Telecom experience strongly preferred; other regulated/large-scale industries also considered. Excellent leadership More ❯