26 to 30 of 30 Remote/Hybrid LangChain Jobs

Experience building AI agents or automation workflows Experience with web scraping, data enrichment, or APIs Built side projects using LLMs Familiar with tools like LangChain, vector databases, or workflow automation Interest in startups or building your own company one day What You'll Gain Work directly with the founder ...

with occasional onsite visits required. Key Responsibilities AI software development and prototyping Proof of Concept (PoC) development Working with LLM stacks (e.g. Ollama + LangChain) Machine learning development using Scikit-learn Transitioning solutions from synthetic data environments to production data Working within Agile Scrum delivery teams Key Skills & Experience Strong ...

client-facing AI products. Key Responsibilities • Design and deploy RAG pipelines for knowledge retrieval and reasoning • Build agentic AI workflows using frameworks such as LangChain or similar • Develop LLM microservices using Python frameworks such as FastAPI or Flask • Build internal AI tools including chatbots, automation systems, and workflow assistants • Deploy … systems Key Details • Comp: £60,000–£95,000, ~15% bonus, equity • Working model: Fully remote (UK) with occasional team gatherings • Tech stack: Python, LangChain, RAG systems, AWS, vector databases • Visa sponsorship: This role cannot sponsor Interested? Please apply below. ...

growth. The Role * Build AI solutions across RAG, agentic workflows, and LLM applications.* Develop automation tools, chatbots, and content generation systems.* Work with AWS, LangChain, and vector databases.* Contribute to both internal and future client-facing products. Your Skills and Experience * Strong commercial experience with RAG, agents, and LLM tooling. … Confident with Python, AWS, and LangChain or similar frameworks.* Hands on with vector databases and retrieval pipelines.* Comfortable identifying problems and delivering end-to-end solutions ...

Designing, training and deploying AI and ML models on complex, large-scale data. Building GenAI solutions using techniques such as RAG and frameworks like LangChain and related tooling. Working full-stack across data ingestion, feature engineering, modelling and serving. Combining modern GenAI approaches with classical machine learning techniques to improve … Machine Learning Engineer working on end-to-end solutions. Hands-on experience with GenAI, including RAG and tools such as LangChain or similar frameworks. Proficiency in Python and experience working with a modern cloud environment, ideally GCP. Confidence working across the data lifecycle, including aspects of data engineering. Ability ...