1 to 25 of 108 LangChain Jobs

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience More ❯

learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the UK. More ❯

tuning foundation models. Experience working with LLM models from OpenAI, Mistral, Anthropic etc. Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Keras, LangChain, and Hugging Face Transformers a big plus. Skilled in Python and Java, with a focus on writing efficient and scalable code for AI applications. Experienced More ❯

Qualifications Master's or PhD in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related field Experience in prompt orchestration frameworks (e.g. LangChain, LlamaIndex) to enhance AI-driven applications. Strong programming skills in Python , with experience in frameworks such as PyTorch, TensorFlow, or JAX being a plus. Deep More ❯

experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs More ❯

NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model More ❯

NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model More ❯

Experience with AI engineering tools and technologies for fine tuning and serving custom LLMs in production and with other Gen AI tools such as, Langchain, LlamaIndex Experience working with Knowledge graphs based on text data Scala experience iM Getting To Join a rapidly evolving, industry-leading SaaS company on an More ❯

AI practices, including model auditability and bias mitigation. Hands-on experience with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, MLflow, Kubeflow, LangChain). Strong Communication and stakeholder engagement skills, with the ability to translate complex technical concepts into business-aligned strategies. TRAVEL REQUIREMENTS 20% domestic and international More ❯

autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure, GCP) with their AI/ML offerings More ❯

search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion. Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Understanding of nearest neighbor search concepts. About the Job: As a Generative AI Field Solutions Architect, you will support Google Cloud Sales More ❯

data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity with tools such as TensorFlow, PyTorch, or LangChain is a plus. More ❯

data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity with tools such as TensorFlow, PyTorch, or LangChain is a plus. More ❯

backend development (REST API, OpenAPI, Swagger) • Language: Fluent in written and spoken English • Nice-to-have: Experience in LLM frameworks such as Haystack/LangChain, PyTorch, and proficiency in written and spoken German Responsibilities: • Design and implement software solutions in Python and C# in the field of artificial intelligence and More ❯

ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural More ❯

roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch More ❯

roadmap. What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI. Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch. More ❯

ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural More ❯

and productionizing AI solutions. Expertise in Python and key libraries (e.g., NumPy, SciPy, Pydantic, Asyncio). Hands-on experience with open-source libraries (e.g. LangChain, Ray, PyTorch, Lightning). Hands-on experience with machine learning techniques, including Reinforcement Learning. Proficiency in AI/ML frameworks and libraries such as PyTorch More ❯

s degree or higher in Computer Science, Engineering, AI, Machine Learning, or equivalent experience. Expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain, RAGAs), including hands-on model building and fine-tuning. Strong collaboration & communication skills , able to engage diverse stakeholders and translate complex technical concepts into clear More ❯

pipelines, etc. Knowledge of CI/CD integrating tests with pipelines via Jenkins, github actions, bitbucket or other similar code repository tool Experience with LangChain/LangGraph for building LLM-powered applications Desire to think outside the box and explore innovative solutions to complex problems Strong problem-solving, analytical, and More ❯

MongoDB, Firebase, Redis, Elasticsearch GCP, AWS, Azure, DigitalOcean The Future is AI We're building smarter with Generative AI -think vector embeddings, Pinecone, Weaviate, Langchain, Chainlink. If AI-powered development excites you, you'll feel right at home here. More ❯

especially AWS) and data science (machine learning processes). Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, with some knowledge of LangChain, RAGAS, and CI/CD. Growth mindset and eagerness to learn new challenges. Willingness to travel and adapt to different client projects. Additional information: Reply More ❯

communicate complex ideas and concepts effectively. Ability to work independently and collaboratively. Preferred Skills: Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc. Depth of knowledge with RAG implementation and improvements. More ❯