1 to 25 of 114 LangChain Jobs

and ML libraries such as PyTorch, Hugging Face Transformers , or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience with fine-tuning and distillation of large language models. Comfortable with cloud platforms (Azure preferred), CI/CD tools, and 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 ❯

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. #J 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 ❯

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 ❯

or transformers-based models for language and vision applications Experience in building AI workflows, agents and UIs Proficiency in using Python, PyTorch or Tensorflow, LangChain - desirable, open-source github contributions Good knowledge of cloud technologies - aws, azure, and compute infrastructure - GPU & HPC Good knowledge of software engineering principles in programming More ❯

governance policies Who we are looking for 5+ years of experience in AI, machine learning, or deep-learning engineering Expertise in Python, TensorFlow, PyTorch, LangChain, Hugging Face, and ML frameworks Strong knowledge of LLMs, NLP, computer vision, and generative AI models Experience deploying AI models using MLOps, Docker, Kubernetes, and 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 ❯

in machine learning, deep learning, and statistical analysis. Expertise in Python, with proficiency in ML and NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch. Experience with big data tools such as Hadoop, Spark, and Hive. Familiarity with CI/CD and MLOps frameworks for building end More ❯

years of commercial experience in developing & deploying AI/ML powered applications. Practical experience with Python and familiarity with frameworks such as FastAPI, TensorFlow, LangChain/LlamaIndex. Familiarity with prompt engineering, embeddings & RAG, and vector databases. Experience with AWS ML capabilities (e.g. SageMaker, Bedrock) or their GCP/Azure equivalents. More ❯

Generative AI/LLM-based development. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure OpenAI/OpenAI) and LLM frameworks (e.g., LangChain, LlamaIndex). Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Hands-on experience with IT Service Management tools like 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 ❯

Kubernetes ). Hands-on experience with AI/ML frameworks (Scikit-Learn, TensorFlow, Hugging Face, PyTorch). Familiarity with ML/Gen AI tools (LangChain, MLFlow, SageMaker, Bedrock, Weights & Biases). Experience with OAuth, JWT authentication mechanisms . Why Apply? Work on a cutting-edge AI/ML project with More ❯

governance, model explainability, and regulatory trends (eg, EU AI Act, NIST AI RMF). Familiarity with popular AI frameworks/tools (eg, TensorFlow, PyTorch, LangChain, MLflow). Prior experience in a regulated or content-driven industry (media, financial services, healthcare). AI Security Architect - London/Hybrid - 12-month Contract More ❯

and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience React #J-18808-Ljbffr More ❯

including leading AI/ML initiatives. Expertise in LLM-driven architectures, prompt engineering, and fine-tuning. Strong hands-on experience with AI frameworks like LangChain, OpenAI APIs, and Hugging Face. Deep understanding of multi-agent systems, decision-making algorithms, and reinforcement learning. Experience with cloud-based AI deployment (AWS, GCP More ❯

designing and implementing API-driven architectures. Experience with vector databases, retrieval-augmented generation (RAG), and multimodal AI systems. Familiarity with AI orchestration tools (e.g., LangChain, LlamaIndex, Ray, Dask). Understanding of MLOps and CI/CD pipelines for AI/ML models. Knowledge of security best practices for AI applications. More ❯

with a university degree in Computer Science, software engineering, Machine Learning, or a related field. Strong programming skills in Python (PyTorch, TensorFlow, Hugging Face, LangChain, FastAPI, Flask). Good understanding of ML model architecture and LLMs , including how they are trained, fine-tuned, and deployed on AWS platform. Familiarity with 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 ❯

REST, Pub/Sub). Messaging Systems: Apache Kafka, RabbitMQ. Generative AI: Prompt engineering, understanding of RAG and fine tuning, familiarity with tools like Langchain and Crew AI. SSDLC: Experience with static and dynamic code analysis tools (Nexus, SonarQube, Checkmarx, ESLint, Checkstyle). Continuous Integration/Continuous Delivery (CI/ 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 ❯

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 ❯

so. Should be hands-on and proficient in Python and associated data science libraries like Pandas, NumPy. Expertise in using Gen AI frameworks like LangChain, LlamaIndex , and multi-agentic frameworks like Google Vertex AI agents, LangGraph, CrewAI, LlamaIndex multi-agentic workflows or AutoGen. Hands-on expertise in building and productionizing 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 ❯