16 of 16 Remote LangChain Jobs in the South East

ML engineering role, with a demonstrable track record of building and shipping complex systems. Expert-level proficiency in Python and its core AI/ML libraries (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex), and comfortable transitioning to a 'pilot' role using AI tools to amplify your productivity. Proven experience designing, deploying, and managing scalable AI solutions on at least one major cloud More ❯

and manipulating LLM in data science projects. can work confidently with at least one common language used for manipulating data (e.g., Python, R) and familiar with LLM libraries (e.g., langchain) has some understanding of generative AI technologies in terms of training and fine-tuning language models and regarding good Prompt Engineering has used machine learning to solve real problems for More ❯

senior engineers and cross-functional teams to deliver high-quality AI solutions Essential Skills & Experience 2-6 years of Python development experience Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI More ❯

optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in Python and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, and OpenAI/Anthropic APIs. Familiarity with DevOps & tooling (Git, CI/CD, API integration), front-end & visualization (Streamlit, Gradio, React), and cloud environments (AWS/GCP/Azure). More ❯

Cloud Run and Kubernetes (GKE) . Familiarity with GCP data tools like BigQuery and Google Cloud Storage (GCS) . Experience building complex agentic AI applications (beyond basic RAG or LangChain implementations). How We Evaluate Candidates Our interview process is designed to identify practical engineering competence and collaborative skills. Technical Acumen: The technical assessment is rigorous. We evaluate Python and More ❯

AI/ML. Proven skills in data engineering (ETL pipelines, APIs, SQL/NoSQL, data warehouses like BigQuery/Redshift). Experience with AI agents, LLMs and orchestration frameworks (LangChain, AutoGen, LlamaIndex, etc.). Demonstrated ability to ship production-ready internal tools or SaaS integrations. Strong problem-solver who can translate messy business requirements into clean technical solutions. Excellent collaboration More ❯

data. Collaborate with data scientists and engineers to deploy scalable AI solutions. Required Skills Strong experience with GraphRAG or Graph-based RAG architectures. Proficiency in Python and frameworks like LangChain, Semantic Kernel, or similar. Hands-on with graph databases (Neo4j, TigerGraph) and vector DBs (Pinecone, Weaviate, FAISS). Knowledge of LLMs, prompt engineering, and retrieval optimization. Familiarity with knowledge graph More ❯

with Infrastructure as Code tools (e.g., Terraform). Understanding of accessibility standards and web development best practices. Bonus: Experience with C#, GOV.UK Design System, or integrating with LLMs (e.g., LangChain, Vercel AI). What You'll Gain Exposure to high-impact digital transformation projects. Access to training and certifications in cloud, DevOps, cybersecurity, and agile delivery. Opportunities to work with More ❯

legacy system into a modern, scalable cloud-native product Design and implement new architecture using AWS microservices, PostgreSQL, Node.js, React, and TypeScript Use AI-assisted tools such as OpenAI, LangChain, Claude, or Hugging Face to enhance efficiency, code quality, and testing Establish clean engineering practices, including CI/CD, automation, and testing frameworks Work closely with product and technical leadership More ❯

capability across backend (Node and Python), frontend and React), and strong experience with TypeScript. Experience with AWS, CI/CD, and infrastructure tooling such as Terraform. Familiarity with MCP, LangChain, or equivalent frameworks for agentic or AI-powered systems. Curiosity about intelligent software design and how AI should shape modern architecture. A builder mindset focused on learning quickly and delivering More ❯

so we're looking for someone who can get stuck in and help us move fast. Tech Stack: , AWS API Gateway/EKS/Step Functions, React, TypeScript, Langgraph, Langchain, gpt-oss, AWS. What You'll Do Build and scale backend services in JavaScript to improve the core functionality of our AI voice tutor. Work hands-on with large language More ❯

for an AI Engineer to join a scaling startup in the Education sector Salary up to £70k , depending on experience Fully remote role (Europe-based) Tech stack: Python, LLMs, LangChain, AI Agents, SQL, GCP, ML If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We … BE DOING: Design and develop AI-driven systems and tools that enhance the learning experience for students and educators. Build and deploy LLM-based solutions, integrating frameworks such as LangChain, AutoGen, and RAG pipelines. Develop and optimise AI agents capable of reasoning, planning, and automating complex learning or data workflows. Collaborate with cross-functional teams to integrate AI components into … with data engineers and product teams to ensure AI models are reliable, efficient, and explainable. AI ENGINEER - ESSENTIAL SKILLS: Proven experience working with LLMs and agentic AI frameworks (e.g. LangChain, AutoGen, CrewAI, RAG). Strong proficiency in Python for AI development, data processing, and API integration. Solid understanding of AI system design, prompt engineering, and model fine-tuning. Experience working More ❯

a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills … for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector More ❯

a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills … for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector More ❯

a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills … for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector More ❯

a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills … for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector More ❯