14 of 14 Remote/Hybrid Retrieval-Augmented Generation Jobs in the City of London

help drive innovation across cutting-edge AI initiatives — from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: Develop and prototype AI-driven solutions … across customer-facing and internal applications. Build and optimise LLM-based assistants , RAG pipelines , and agentic AI workflows . Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering). Partner with stakeholders to translate business needs into practical, intelligent systems. Mentor junior team members ...

model training to inference APIs and monitoring. Integrate and scale LLMs & generative AI within product workflows, including fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and agentic systems. Collaborate with product, backend, and frontend teams to deliver impactful AI-driven experiences. Take ownership ...

autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical ...

assessments, and delight users Work with industry experts to turn messy claim processes into AI-driven workflows Deploy solutions using LLMs, LangChain, and RAG at scale What we're looking for 2+ years in AI/ML engineering or research Proven track record taking projects from idea → production → impact Bias ...

development, along with experience in Docker , PostgreSQL , or DSL/Compilers . Professional or enthusiastic personal experience with LLMs and their ecosystems (e.g., Langchain, RAG, or observability tooling). You are a "creative experimentalist" who can balance the need for speed with long-term engineering maintenance. A commitment to building ...

Senior LLM, RAG & Agentic AI Consulting Engineer - Lead/Senior FDE Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining … consulting engineering role. Candidates should bring: Solid experience in software engineering, AI engineering, or applied data engineering Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production ...

developing machine learning models across forecasting, classification, and anomaly detection use cases. Building and deploying GenAI and LLM-enabled solutions, including prompt-driven and RAG-based architectures. Running structured experimentation cycles, defining hypotheses, designing experiments, and evaluating results within governance constraints. Transitioning validated experiments into production-ready systems in collaboration … tooling such as MLflow, Weights & Biases, or Data Version Control. Experience developing or integrating LLM and GenAI applications, including prompt engineering and retrieval-augmented generation. Ability to work across disciplines and communicate technical findings clearly. A pragmatic mindset and good judgement about when machine learning ...

Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using Azure Search or vector-enabled data stores. Create architectural decision records (ADRs), guardrails, and reusable blueprints for solution … Analytics, Synapse Analytics, Azure DevOps . You should have hands-on experience in Deep knowledge of LLMs (prompting, system prompts, grounding, evaluation), embeddings , and RAG design (index selection, chunking strategies, reranking, citations). Strong design of secure API and event-driven integration patterns; familiarity with microservices and domain-driven design ...

RAG & Agentic Consulting Engineer Insurance Sector Remote-first Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This … consulting engineering role. Candidates should bring: Experience in software engineering, AI engineering or applied data engineering Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production-grade, regulated systems Experience ...

that enhance global sales workflows. Build scalable backend services and full-stack applications for internal teams. Architect, implement, and optimize LLM orchestration frameworks and RAG-based solutions. Collaborate with cross-functional teams to define requirements and deliver innovative tools. Ensure reliability, scalability, and performance of distributed systems handling massive datasets. … workflows . Strong proficiency in Angular (primary frontend); React optional. Hands-on experience with LangChain, LangGraph, and Indexify , with a deep understanding of RAG architectures . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ...

LLMs) integrate cleanly into the existing enterprise estate (which currently includes Azure and Snowflake ). Model & Tooling Evaluation: Compare model families, implementation patterns (e.g., RAG patterns ), and platforms (Azure native and broader market options). Provide clear pros and cons to explain trade-offs and recommend the right fit. Integration … designing and implementing end-to-end AI solutions in a commercial environment (not limited to just LLMs). LLM Focus: Solid understanding of RAG patterns, model orchestration, prompt design, and guardrails . Platform Flexibility: Experience evaluating and implementing model families across Azure and non-Azure environments. Broad cloud knowledge across ...

numi is partnered with a high-growth, seed-funded AI startup building the next generation of autonomous AI for Client Services. This isn't another LLM wrapper. Our client is designing multi-agent systems that genuinely operate inside complex enterprise organizations, understand rich context, and take real-world … backend/systems engineering experience (Python/Django/Langchain Agentic stack) with a recent focus on LLM application layers (e.g., agentic workflows, complex RAG, React). A proven track record of designing highly scalable architectures and integrating external APIs. Startup DNA: You are a builder who thrives in fast ...

with design systems to create accessible, scalable, reusable UI components Collaborate with designers to test, refine, and elevate user journeys Bring AI capabilities (LLMs, RAG, embeddings) to life in a way that feels natural and user-first Influence product direction by demonstrating what's possible through UX-led prototypes Essential … feature end-to-end , from concept sketches to polished UI Nice to Have Experience with native design patterns (iOS/Android) Familiarity with RAG, embeddings, vector databases Python (for small prototyping tasks) Design system experience (creation or contribution) Experience designing media, content, or large-scale consumer platforms Your ideas could ...

RAG & Agentic Consulting Engineer Insurance Sector Remote-first Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence click apply ...