hands-on experience in API design and cloud architecture (Azure). Experience with Excel add-ins or Office JavaScript APIs is highly desirable. Exposure to vectorization, RAG (Retrieval-AugmentedGeneration), or AI-driven data handling frameworks is a big plus. Bonus: Background or interest in commercial real estate technology. Self-starter with excellent communication More ❯
hands-on experience in API design and cloud architecture (Azure). Experience with Excel add-ins or Office JavaScript APIs is highly desirable. Exposure to vectorization, RAG (Retrieval-AugmentedGeneration), or AI-driven data handling frameworks is a big plus. Bonus: Background or interest in commercial real estate technology. Self-starter with excellent communication More ❯
semantic layers using dbt and Delta Live Tables to ensure consistency across analytics and AI use cases Enable Generative AI and ML workloads by designing pipelines for vector search, RAG, and feature engineering Implement secure access and governance controls including RBAC, SSO, token policies, and pseudonymisation frameworks Support batch and streaming data flows using technologies like Kafka, Airflow, and Terraform More ❯
semantic layers using dbt and Delta Live Tables to ensure consistency across analytics and AI use cases Enable Generative AI and ML workloads by designing pipelines for vector search, RAG, and feature engineering Implement secure access and governance controls including RBAC, SSO, token policies, and pseudonymisation frameworks Support batch and streaming data flows using technologies like Kafka, Airflow, and Terraform More ❯
infrastructure technologies. 5+ years of experience working with multinational customers in support of technology sales. An understanding of AI and semantic search and vector technologies, with a focus on RAG, vector search, and NLP. Professional experience architecting/operating solutions built on AWS, Google Cloud or MSFT Azure. Excellent communication and presentation skills, able to engage both technical and non More ❯
optimizations. Your Profile: Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases More ❯
optimizations. Your Profile: Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases More ❯
of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills …/professional services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure (preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯
of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills …/professional services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure (preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯
of AI/ML solutions. * MLOps practices: CI/CD, model monitoring, retraining. * Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). * Generative AI features: embeddings, RAG, AI agents. * Clean, testable code with modern engineering practices. * Align with enterprise architecture and governance. * Collaborate with architects and stakeholders. * Lifecycle management of models. * Pilot emerging technologies. Experience & Skills …/professional services experience is a plus. * AI/ML frameworks: PyTorch, TensorFlow, LangChain. * Cloud: Azure (preferred), AWS, GCP. * MLOps: CI/CD, model lifecycle, monitoring. * Generative AI: LLMs, RAG, chat agents. * Data engineering alignment: ETL, governance. * Strong coding, communication, and collaboration skills. * Strategic thinking, problem-solving, and stakeholder engagement. In accordance with the Employment Agencies and Employment Businesses Regulations More ❯
LangChain, Hugging Face, etc.) and enterprise platforms (Azure OpenAI, Databricks, etc.) to deliver production ready, scalable AI solutions Implement generative AI and advanced analytics features, including embeddings, retrieval-augmentedgeneration, and building AI agents and chat-based solutions. Write clean, testable, and well-documented code using modern engineering practices (unit testing, code reviews, API More ❯
Analyse ALTEN Structured Projects to identify AI integration opportunities for productivity, quality, or innovation gains. Design, code, train, and test AI models tailored to use cases (e.g., NLP, CV, RAG, forecasting, etc.). Perform effort estimation and model validation and monitor deployment success and cost-performance trade-offs. Collaborate closely with local technical leads while owning the technical delivery of … solutions. Required Technical Skills Machine Learning , Deep Learning , Natural Language Processing , Computer Vision , Generative AI , Reinforcement Learning , LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based architectures , RAG , prompt engineering , chatbots , classification , summarization , speech-to-text , image understanding. Cloud platforms (AWS, Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development tools (e.g., GitHub Copilot, Tabnine More ❯
years of professional TypeScript experience React.js + Node.js 100% Remote (UK-based only) 💡 Desirable Skills Knowledge of SQL or React Experience with AI/LLMs or RAG (Retrieval-AugmentedGeneration) Familiarity with integration testing Exposure to multiple programming languages beyond TypeScript Daily use of AI coding assistants Strong problem-solving and ability to work More ❯
production-grade code shipping. Applied LLMs - Experience deploying multimodal foundation model-based products. Deep knowledge of LLM research, agents, tools, and function calling. Deploying LLMs - Experience with LangChain, indexing, RAG, semantic search, and fine-tuning (SFT/RL) of LLMs/agents. Why Join £100,000 – £170,000 base salary + meaningful equity Visa sponsorship and relocation support available A More ❯
production-grade code shipping. Applied LLMs - Experience deploying multimodal foundation model-based products. Deep knowledge of LLM research, agents, tools, and function calling. Deploying LLMs - Experience with LangChain, indexing, RAG, semantic search, and fine-tuning (SFT/RL) of LLMs/agents. Why Join £100,000 – £170,000 base salary + meaningful equity Visa sponsorship and relocation support available A More ❯
a successful, the ideal Senior Software Engineer candidate will have: · A deep experience of working on backend projects with Typescript and Node · Strong experience with Python/LLMs and RAG · Experience of building products that customers will love to use · Experience of working in a small team and getting things done If you are an ambitious Senior Software Engineer hit More ❯
a successful, the ideal Senior Software Engineer candidate will have: · A deep experience of working on backend projects with Typescript and Node · Strong experience with Python/LLMs and RAG · Experience of building products that customers will love to use · Experience of working in a small team and getting things done If you are an ambitious Senior Software Engineer hit More ❯
London, England, United Kingdom Hybrid/Remote Options
iO Associates
LLMs, prompt engineering, and agentic AI Desirable: ☑️ Experience with frameworks such as AutoGPT, CrewAI, or LangGraph ☑️ Background in conversational UX or human-AI interaction ☑️ Knowledge of vector databases or RAG techniques ☑️ Awareness of ethical and safety considerations in AI system If you'd like to learn more, feel free to reach out directly or email for a confidential chat. Role More ❯
function Comfort working in a fast-moving, ambiguous environment An eye for quality and a bias toward shipping Bonus: experience in building AI-powered tools or creative applications (e.g. RAG systems, assistants, agents, etc. More ❯
function Comfort working in a fast-moving, ambiguous environment An eye for quality and a bias toward shipping Bonus: experience in building AI-powered tools or creative applications (e.g. RAG systems, assistants, agents, etc. More ❯
more about our culture on Role Summary We are seeking a Copyright Attorney to join our Legal team, focusing on data and content acquisitions for pre-training, post-training, RAG, and other AI applications. This is a new role, designed to provide legal support for the increasing number of licensing, data access, and partnership deals that fuel Mistral's AI More ❯
more about our culture on Role Summary We are seeking a Copyright Attorney to join our Legal team, focusing on data and content acquisitions for pre-training, post-training, RAG, and other AI applications. This is a new role, designed to provide legal support for the increasing number of licensing, data access, and partnership deals that fuel Mistral's AI More ❯
generation AI solutions leveraging OpenAI, Azure OpenAI, Claude (Anthropic) , LangChain , LangGraph , and MCP (Model Context Protocol) to orchestrate intelligent agent workflows, implement RAG (RetrievalAugmentedGeneration) pipelines, and integrate with vector databases and voice processing systems. This role is ideal for engineers passionate about AI orchestration , intelligent agents , and full-stack innovation … . Key Responsibilities Design, develop, and maintain backend services using TypeScript (Node.js) and C# (.NET Core) . Implement intelligent AI pipelines using LangChain , LangGraph , MCP , and RAG frameworks. Integrate and optimize LLM APIs (OpenAI, Azure OpenAI, Claude, etc.) for production-grade use cases. Work with PostgreSQL Vector databases for embedding storage and similarity search. Develop modular and responsive React frontends … modern UI frameworks and responsive design. AI & Data Tools: Experience with OpenAI and Azure OpenAI APIs. Knowledge of Claude (Anthropic) models and integration. Hands-on experience with LangChain , LangGraph , RAG , and MCP (Model Context Protocol) . Familiarity with vector databases (PostgreSQL Vector, Pinecone, Weaviate, etc.). Understanding of AI agent orchestration concepts and frameworks. Bonus Skills: Voice/speech processing More ❯
is integral to their agentic AI solutions. Requirements: Previous experience leading, managing and growing teams of AI Researchers and Engineers Strong technical knowledge and experience around AI agents, LLMs, RAG systems, reinforcement learning, fine-tuning, etc Data Engineering and Infrastructure knowledge and experience Strong product mindset Experience working in a B2B SaaS start-up or scale-up would be advantageous More ❯
