South East London, England, United Kingdom Hybrid / WFH Options
Block MB
you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development end to More ❯
Lead, preferably in GenAI or LLM-based applications. Strong understanding of LLMs, prompt engineering, and generative AI workflows. Skilled in test automation using tools like Python, PyTest, Postman, and LangChain testing utilities. Familiarity with OpenAI APIs, model fine-tuning, and evaluation techniques. Knowledge of AI ethics, bias detection, and responsible AI practices. Experience in risk identification and mitigation for hallucinations More ❯
Lead, preferably in GenAI or LLM-based applications. Strong understanding of LLMs, prompt engineering, and generative AI workflows. Skilled in test automation using tools like Python, PyTest, Postman, and LangChain testing utilities. Familiarity with OpenAI APIs, model fine-tuning, and evaluation techniques. Knowledge of AI ethics, bias detection, and responsible AI practices. Experience in risk identification and mitigation for hallucinations More ❯
practices, and integrate cutting-edge AI capabilities. ????️ Your responsibilities Design and develop robust and scalable generative AI services using Python and open source frameworks such as Writer Agent Builder, LangChain, and n8n. Implement responsive and user-friendly frontend interfaces, leveraging technologies like React, TypeScript, and modern web frameworks. Work with cloud platforms such as AWS, GCP, or Azure to deploy More ❯
of using AI to directly improve people’s lives. We take a blue-sky but pragmatic approach to how we apply new technologies. Our Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph OpenAI, Anthropic, Gemini, Custom Models DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, Github Actions Minimum Requirements You have a More ❯
experience in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, autonomous workflows, and tool integration. Familiarity with multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, Smolagent), communication standards (such as MCP, Story's Agent TCP/IP, Near's AITP), distributed systems, federated learning, distributed AI architectures, and consensus mechanisms. Strategic thinking about More ❯
London, England, United Kingdom Hybrid / WFH Options
TEKsystems, Inc
AI & Data Science Specialist - Fully Remote We at TEKsystems are on the lookout for a AI & Data Science specialist to support one of our market leading clients. The ideal candidate will have the following experience – Data Science & ML : Probabilistic modeling More ❯
Synechron is looking for a Senior AI Engineer to join their Data and AI Practice to work on a multi - year, AI programme of work within a leading financial institution. The role requires an experienced and talented AI Engineer to More ❯
Synechron is looking for a Senior AI Engineer to join their Data and AI Practice to work on a multi - year, AI programme of work within a leading financial institution. The role requires an experienced and talented AI Engineer to More ❯
Bytes is a top provider of premium IT solutions and services, working with SMEs, corporations, and public sector organizations to modernize and digitally transform their IT infrastructures. Founded in 1982, Bytes has experienced significant growth, now employing over 750 people More ❯
Social network you want to login/join with: Bytes is a top provider of premium IT solutions and services, working with SMEs, corporations, and public sector organizations to modernize and digitally transform their IT infrastructures. Founded in 1982, Bytes More ❯
Hypercube Consulting is a rapidly growing data and AI consultancy dedicated to transforming the energy sector through cutting-edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value More ❯
on AI Chatbot Technical Lead to drive the development and enhancement of their Service Management Chatbot. This is a key role for someone with deep technical expertise in Python, LangChain, and OpenAI services, particularly within Azure environments. You will lead the technical delivery of the client's Chat API, ensuring it is robust, scalable, and continuously improving. Responsibilities Lead the … development and enhancement of the Chat API using Python, LangChain, and OpenAI services on Azure Function Apps Monitor and resolve API bugs and performance issues to ensure high availability and reliability Oversee and troubleshoot data ingestion processes supporting the chatbot's functionality Collaborate with solution architects, product teams, and the cloud team to deliver a reliable and scalable solution Champion … continuous improvement Provide technical leadership and mentoring to other developers as needed About You Requirements Minimum of 3 years p roven experience in Python development, with strong knowledge of LangChain and OpenAI APIs Hands-on experience with Azure Function Apps and cloud-native development Strong background in API design, monitoring, and performance optimisation Experience managing data ingestion pipelines and integrating More ❯
proven contract engineer with experience building and fine tuning LLM solutions in an applied environment. To provide a snapshot of the experience they are looking for, Conversational AI – NLP LangChain, LangGraph & RAG Pytorch/Tensorflow You will ideally come from a financial services background but this is not an absolute requirement. They work in a hybrid model with More ❯
proven contract engineer with experience building and fine tuning LLM solutions in an applied environment. To provide a snapshot of the experience they are looking for, Conversational AI – NLP LangChain, LangGraph & RAG Pytorch/Tensorflow You will ideally come from a financial services background but this is not an absolute requirement. They work in a hybrid model with More ❯
ll work closely with the CTO to architect and implement the intelligence layer of the platform — with real ownership over: Designing and deploying LLM-driven agent systems using LangGraph, LangChain, or similar tools to coordinate tool use, memory, and fallback logic Building orchestration logic for autonomous workflows — handling retries, dependencies, logging, and execution across simulation and design environments Creating custom … ideally in fast-moving, early-stage environments Strong Python skills, with a track record of building or deploying LLM-based systems in production Hands-on experience with frameworks like LangChain, LangGraph, or custom-built agent orchestration setups Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.), embedding stores, retrieval pipelines (e.g. Weaviate, Pinecone), and eval tooling Comfort building and testing AI More ❯
ll work closely with the CTO to architect and implement the intelligence layer of the platform — with real ownership over: Designing and deploying LLM-driven agent systems using LangGraph, LangChain, or similar tools to coordinate tool use, memory, and fallback logic Building orchestration logic for autonomous workflows — handling retries, dependencies, logging, and execution across simulation and design environments Creating custom … ideally in fast-moving, early-stage environments Strong Python skills, with a track record of building or deploying LLM-based systems in production Hands-on experience with frameworks like LangChain, LangGraph, or custom-built agent orchestration setups Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.), embedding stores, retrieval pipelines (e.g. Weaviate, Pinecone), and eval tooling Comfort building and testing AI More ❯
ll work closely with the CTO to architect and implement the intelligence layer of the platform — with real ownership over: Designing and deploying LLM-driven agent systems using LangGraph, LangChain, or similar tools to coordinate tool use, memory, and fallback logic Building orchestration logic for autonomous workflows — handling retries, dependencies, logging, and execution across simulation and design environments Creating custom … ideally in fast-moving, early-stage environments Strong Python skills, with a track record of building or deploying LLM-based systems in production Hands-on experience with frameworks like LangChain, LangGraph, or custom-built agent orchestration setups Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.), embedding stores, retrieval pipelines (e.g. Weaviate, Pinecone), and eval tooling Comfort building and testing AI More ❯
London, England, United Kingdom Hybrid / WFH Options
Randstad (Schweiz) AG
avatars representing real people—and you’ll help architect how that works. What You’ll Do Build core systems from scratch, across backend and AI infrastructure. Implement and scale LangChain/LangGraph agent workflows (yes, deeply—not just toy demos). Work with LLM APIs, embeddings, memory architecture, vector search, and structured output parsing. Optimise for latency and cost across … loops. Contribute to the product direction—everyone is a builder here and we GSD . Experiment rapidly: we test ideas live with users and ship daily. You Should Have LangChain/LangGraph: Real experience wiring up multi-step agents, not just plugging in a chain. You know how to debug traces, tune tool invocations, and reason about agent behaviors. Python More ❯
experience developing LLM applications using some of the more recent LLMs such as GPT, Llama, Claude, Gemini, Qwen and Mistral models, developed RAG pipelines and architecture, orchestrated workflows using LangChain/LangGraph/LlamaIndex etc. This role is ideal for someone with . 2 years of experience developing and deploying BERT based NLP models Experience deploying AI models on cloud More ❯
Your day-to-day tasks will involve solving abstract problems and utilizing modern AI tools and models across the entire data and engineering stack. Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph AI Models: OpenAI, Anthropic, Gemini, Custom Models Data Tools: DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product Engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions Requirements More ❯
fundamentals (algorithms, data structures). Excellent Python skills and working knowledge of Java for integration tasks. Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic) and orchestration frameworks (e.g., LangChain, LlamaIndex), including in production. Experience with retrieval pipelines and vector DBs for semantic search in LLM workflows. Strong grasp of agentic workflows and prompt engineering, including iterative refinement techniques. Excellent More ❯
problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice More ❯
Hounslow, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
with Entity Framework Core. Understanding of web accessibility and best practices. Bonus Skills Experience with NoSQL databases like MongoDB or Cosmos DB. Exposure to AI/LLM integrations (e.g., Langchain). Knowledge of design systems like GOV.UK Design System. Why Join? Work on meaningful digital products impacting lives. Join a collaborative team of engineers, designers, and strategists. Supportive culture valuing More ❯
