26 to 50 of 108 Permanent LangChain Jobs

/distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI More ❯

that AI solutions remain stable and cost-efficient in production. Requirements Your Profile/Requirements Proven experience in building conversational AI and/or multi-agent systems (e.g. with LangChain, AutoGen, CrewAI, or similar frameworks). Strong programming skills in Python (TypeScript/Node.js is a plus). Solid understanding of REST and gRPC APIs , including design, integration, and scaling. More ❯

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 ❯

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 ❯

Distributed Systems Advanced knowledge creating automation for GitHub, using GitHub Actions or related continuous integration tools. Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow. Experience developing, deploying or maintaining On-prem or Cloud Infrastructure Ability to quickly learn and use new tools and technologies. The following will be 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 ❯

solving, and leadership skills. Nice to have Rerankers (e.g., cross-encoders), structured retrieval over SQL + vectors, query rewriting/expansion, or lightweight knowledge graphs. LLM/evals tooling (LangChain/LlamaIndex/OpenAI Evals) and feature telemetry for relevance/latency/cost dashboards. Experience in B2B data products or fintech. Get in touch! If this role excites you 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 ❯

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 ❯

solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. More ❯

systems and agentic workflows. Technical Skills Deep understanding of enterprise architecture frameworks (e.g., TOGAF, Zachman). Familiarity with agentic concepts, LLMs, reasoning engines, planning systems, and orchestration platforms (e.g., LangChain, AutoGen, CrewAI). Strong grasp of DevOps, CI/CD, cloud platforms (Azure, AWS, GCP), and containerization. Knowledge of data architecture, API design, and integration patterns. Soft Skills Excellent communication More ❯