26 to 50 of 119 LangChain Jobs

e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc ) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning More ❯

the ability to influence decision-making across technical and non-technical teams Desirable skills Familiarity with real-time model serving, monitoring, and performance optimization Experience with LLM frameworks (e.g., LangChain, Hugging Face, Chroma, Mistral) and generative AI applications Domain expertise in areas like operations, personalization and marketing Passion for AI research, R&D, and exploring innovative applications of ML/ More ❯

Polars, DuckDB, Malloy, SQL Infrastructure-as-code: Terraform, Pulumi Data Management and Orchestration: Airflow, dbt Databases and Data Warehouses: SQL Server, PostgreSQL, MongoDB, Qdrant, Pinecone GenAI: OpenAI APIs, HuggingFace, LangChain, Talk-to-data Monitoring: Datadog About You We are looking for someone who can wear two hats - the data architect and the strategic business consultant - so you'll need to More ❯

of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. Proficiency in Python and familiarity with tools like LangChain, PromptLayer, or similar. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with prompt tuning, fine-tuning, or reinforcement learning from human feedback (RLHF). Familiarity with multi-modal More ❯

audio - creating tools that augment human expertise, not replace it. What Youll Do AI Agent Development Design and build AI agents using Python and frameworks like OpenAI Agents SDK, LangChain, AutoGen, and Google ADK Create multi-agent orchestration systems for complex workflows (e.g., music curation, content analysis, scheduling) Integrate multimodal AI models, including voice synthesis and music understanding Audio Technology More ❯

hand over maintainable solutions. Good practice : apply data ethics, security and privacy by design; align to service standards and accessibility where relevant. Tech you'll likely use LLM frameworks : LangChain, LlamaIndex (or similar) Cloud & Dev : Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CI Data & MLOps : BigQuery/Snowflake, MLflow/DVC, dbt/Airflow (nice to More ❯

e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process) Excellent knowledge of Python includingPytorch, Tensorflow andSKLearn as well as initial knowledge of LangChain andRAGAS. Familiarity with CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will be considered a plus 1+ year experience working in relevant More ❯

Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like Pinecone or More ❯

multiple functional areas in our platform - from development to production About You Basic Qualifications: 5+ years of experience in software engineering Expert level proficiency in Python Experience in LangGraph, LangChain, and LangSmith Proficiency in at least one other statically-typed language such as Java, Scala, Rust, or C++ Demonstrated, hands-on experience building applications with Large Language Models Other Qualifications More ❯

NPM), build systems, containerization (Docker), and cloud platforms (AWS preferred, Azure/GCP a plus). Preferred Skills • Large Language Models (LLMs): Experience with LLM inference servers, major frameworks (LangChain, LlamaIndex), RAG techniques, vector databases, prompt engineering, token optimization, and model quantization. • System-Level Knowledge: Strong understanding of Linux, process/memory management, file systems, networking, compiler optimizations, libraries, system More ❯

to work on cutting-edge innovations within a high-growth AI consultancy, we'd love to hear from you. Especially, if you know your way around all the following: Langchain, Lang graph, Agentic Frameworks, LLarma Python, JavaScript, TypeScript, AWS/GCP/Azure, Spark/Data Bricks, FastAPI/Flask, RAG, LLMs, GenAI, AI Solutions, Data Pipelines, Microservices, Solution Design More ❯

frameworks like Hugging Face and OpenAI SDKs. Strong background in modern deep learning techniques, LLMs, and data-intensive applications. Familiarity with state-of-the-art agentic AI frameworks (e.g., LangChain, AutoGen, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, Google's ADK) and experience orchestrating multi-agent workflows. Knowledge of techniques for optimizing ML inference performance. Hands-on expertise designing and managing batch More ❯

enterprise AI adoption. Culture : A fast-moving, entrepreneurial team environment with the backing of a global consulting leader. Keywords (SEO-optimised) 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 UK, AI Jobs Remote. More ❯

be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of our commitment to information security, all employees are 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 More ❯

services. This is a full-time, remote UK-based role . Unfortunately we can't consider candidates that require sponsorship Key Responsibilities Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like More ❯

clinical services. This is a full-time, remote UK-based role. ***Unfortunately we can't consider candidates that require sponsorship*** Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like More ❯

clinical services. This is a full-time, remote UK-based role. ***Unfortunately we can't consider candidates that require sponsorship*** Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like More ❯

Microsoft Power Platform (Power Apps, Power Automate, Dataverse), Copilot Studio, and pro-code technologies. Build agentic AI systems leveraging LLMs, reasoning engines, memory components, and orchestration frameworks such as LangChain, Semantic Kernel, or Azure AI Foundry. Develop custom AI agents capable of planning, reasoning, and interacting across systems via APIs, tools, and multi-turn conversations. Create and maintain AI-powered More ❯

backend services . Solid understanding of software engineering practices : version control, testing, CI/CD, monitoring. Experience translating business needs into coded AI solutions . Desirable Skills Familiarity with LangChain, LlamaIndex , or similar orchestration frameworks. Experience with speech and voice AI APIs (ElevenLabs, Whisper). Knowledge of chatbot/voicebot design for customer service or sales. DevOps experience (Docker, Kubernetes More ❯

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 ❯

Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/or similar tools Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts Demonstrated ability to identify and More ❯

Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/or similar tools Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Strong communication skills, with attention to More ❯

Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/or similar tools Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Strong communication skills, with attention to More ❯

that 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 … using 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 More ❯