201 to 225 of 1,345 LangChain Jobs

processing (e.g., Databricks, Apache Spark ). Strong analytical skills, with the ability to transform raw data into meaningful insights through AI techniques. Experience with LangChain/LlamaIndex , vector databases (e.g., FAISS) , fine-tuning models on domain-specific data would be an advantage Work in a way that works for you More ❯

re Looking For - Essential Reqs: • MSc or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field • Deep knowledge of both LangChain and LangGraph • Proven experience in AI, machine learning, or data science • Strong background in designing and deploying AI solutions into production • Ability to engage with More ❯

knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g. TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy and maintain production-grade Machine Learning systems. You're willing to champion best practices in More ❯

willingness to get things done. Excellent collaboration and communication skills; comfortable working across technical and product teams. Preferred Strengths Experience with LLMOps frameworks (e.g., LangChain, vector databases, retrieval-augmented generation). Experience with ML-specific CI/CD pipelines and model governance best practices. Familiarity with monitoring and observability tools More ❯

with cloud AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps best practices). Example Tools & Technologies: Frameworks & Libraries: LangChain, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn Agentic AI Tools: OpenAI GPT models, Crew,AI, Cohere, Pinecone (for vector databases), AutoGPT Data Engineering & ML Pipelines More ❯

with cloud AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps best practices). Example Tools & Technologies: Frameworks & Libraries: LangChain, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn Agentic AI Tools: OpenAI GPT models, Crew,AI, Cohere, Pinecone (for vector databases), AutoGPT Data Engineering & ML Pipelines More ❯

analytics and machine learning platforms/tools is a plus. Excellent leadership, communication, and stakeholder management skills. Experience with agentic frameworks and technologies (e.g., Langchain , AutoGPT , etc.). Understanding of agent-to-agent communication protocols and architectures. Knowledge of data access and processing techniques for agentic systems. Life at WPP More ❯

design, development, testing, deployment, and vigilant monitoring. Expertise in C#, Python, and the tools and libraries that make AI magic happen like Semantic Kernel, Langchain/LangGraph, Keras, TensorFlow, Pytorch, etc. Experience in creating and delivering multi-tenant cloud solutions at scale using Docker, Kubernetes and Cloud services. Experience with More ❯

trunk-based development in Git. Experience with back-end web application frameworks (Django, FastAPI, etc.). Experience with language models and agentic workflows (e.g., Langchain, AutoGPT). Knowledge of model evaluation metrics and techniques. Google Cloud (Cloud Functions, AppEngine, PubSub, Stackdriver, etc.). Docker, Kubernetes. Typescript, NodeJS, React, Webpack, etc. More ❯

and implementation of AI/ML solutions. Proficient in Python. Expertise in AI frameworks and libraries, such as scikit-learn, PyTorch, Hugging Face Transformers, LangChain, and OpenAI APIs. Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong More ❯

AI, with a focus on natural language processing and data analysis. Experience with generative models, large language models (LLMs), and entity resolution. Experience with LangChain or similar frameworks for building language model applications. Proficiency in Python and SQL, with strong skills in data manipulation and analysis. Expertise in AI frameworks More ❯

with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below More ❯

knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g., TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy, and maintain production-grade Machine Learning systems. You're willing to champion best practices in More ❯

solving skills. Effective communication of complex ideas. Ability to work independently and collaboratively. Preferred Skills: Experience building scalable applications with LLMs using frameworks like LangChain, LlamaIndex, Hugging Face, etc. Deep knowledge of RAG implementation and enhancements. Benefits & perks (UK full-time employees): Generous PTO and holidays. Comprehensive medical and dental More ❯

including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. A solid understanding of tokenization, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG More ❯

Kaggle and other competitions are preferred. Strong analytical and statistical modeling skills. Experience with machine learning (Generative AI) frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Langchain, Weaviate, Langgraph, LlamaIndex). Proven track record of applying data science to solve real-world problems. Excellent communication and collaboration skills. Why AI71: Proven performance More ❯

software engineering (or strong portfolio/projects), ideally in Python. Exposure to AI/ML tools, APIs, or foundational models (e.g. OpenAI, Hugging Face, LangChain). Familiarity with cloud services (e.g. AWS, GCP, or Azure) and containerization (e.g. Docker). Interest in or experience with building microservices , APIs, or distributed More ❯

applications. Full-stack development experience with AI technologies and their application to user or backend solutions. Experience with AI tools such as SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Proficiency with front-end technologies (React, Angular, SwiftUI, Kotlin) and back-end technologies (Java, Typescript, Spring, Express). More ❯

serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. More ❯

of AI systems. Strong background in integrating and fine-tuning open-source LLMs Proficient in Python and relevant ML/AI frameworks (PyTorch, LlamaIndex, LangChain, etc.) Familiarity with Agents strategies and agentic frameworks, as well as different RAG implementations Experience with vector databases and efficient retrieval systems Knowledge of containerization More ❯

Deep understanding and practical experience in developing and optimising Retrieval-Augmented Generation (RAG) pipelines. GenAI Frameworks: Hands-on experience with key frameworks such as LangChain/LangGraph and/or LlamaIndex. LLM Integration: Proven ability to integrate effectively with LLM APIs (OpenAI, Gemini) and ideally experience handling open-source models. 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 ❯

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 ❯

for specific tasks. Demonstrable experience in utilising different model architectures and training techniques to optimize performance. Familiarity with prompt engineering techniques and frameworks like LangChain, LlamaIndex, or DSpy. Good understanding of LLM models, including other components like VectorDBs and document loaders. Strong analytical and problem-solving skills, with the ability More ❯

in Python or another high-level language commonly used in machine learning. Expertise in NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn). Experience with information retrieval techniques and structured data extraction from unstructured sources. Hands-on experience with LLM APIs for pre More ❯