351 to 375 of 498 Retrieval-Augmented Generation Jobs in London

financial reporting platform. Engineer Digital Integrated Agents for JTC's client-facing digital products, enabling non-linear user journeys, content and dynamic UI generation, conversational AI-enabled analytics and reporting, and persona-aware hyper-personalisation services. Deliver the enterprise document extraction platform and agent supporting workflows across service … from prototype through governed production deployment and ongoing operation. Deep hands-on expertise in LLMs and agentic systems: prompt and context engineering, retrieval-augmented generation, tool/MCP orchestration, multi-agent workflows and evaluation frameworks. Experience with the Anthropic stack (Claude, Claude Code, agent ...

event-driven architectures, including Kafka Agentic AI and ML Commercial and open-source LLMs integrated into agentic workflows Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation Strong schema, validation, and state management practices AI-assisted developmen t Fluency with AI-assisted ...

outcomes in partnership with cross-functional teams Preferred Qualifications, Capabilities, and Skills Experience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety patterns Familiarity with agentic building ...

Manage a pipeline of enterprise accounts and hit quarterly ACV targets (€50K–€500K+ deals, land-and-expand) Run technical sales conversations on agent and RAG architectures, retrieval, evaluation, and pipeline orchestration, and handle security and compliance questions directly (SOC 2, EU AI Act, on-prem/VPC) Build ...

govern end-to-end GenAI architectures on Azure for insurance workflows, including underwriting and claims. You will lead the implementation, drive agentic AI and RAG strategies, ensure security, cost efficiency, and regulatory compliance across enterprise systems while mentoring .NET and React teams. The role offers flexible Hybrid working ...

teams discover insights, automate workflows, and drive faster decisions. You will shape product strategy, roadmaps, and success metrics for analytics-enabled initiatives, leveraging LLMs, RAG, and conversational interfaces to deliver value while #J-18808-Ljbffr ...

Delivery Tech Lead to design and deliver enterprise-scale AI systems in a production environment. You will work on CCaaS/AI integration, RAG pipelines, and multi-agent architectures, collaborating with cloud platforms and strategy leads to drive innovation. The role requires hands-on engineering, strong Python experience ...

need someone with the "Phase 0 first" mindset- starting with deterministic deduplication before touching LLMs, building evaluation harnesses before declaring victory, understanding why RAG isn't always the answer for structured knowledge. This is about engineering discipline and pragmatism over hype. Experience at companies dealing with similar challenges is valuable ...

systems using React, C++, and/or RubyExperience building & maintaining open source software and/or libraries for developersKnowledge and experience in generative AI, RAG, the fine-tuning process and its application to creative productsAt Figma, one of our values is Grow as you go. We believe in hiring smart ...

predictive insights, document intelligence, fraud, compliance or customer‐service workflows. Familiarity with modern AI and GenAI development approaches, including LLMs, retrieval‐augmented generation, prompt design, agent orchestration and model governance. Awareness of AI‐enabled SDLC tools and practices such as requirements generation ...

squad's needs evolve. Requirements Engineering experience: 3+ years in software engineering, with hands‐on experience building LLM‐powered applications in production (RAG, tool‐augmented agents or agentic workflows). Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem … doesn't make sense, and delivering in short, time‐boxed cycles where validated outcomes matter more than perfect solutions. Agentic AI/LLMs: Building RAG pipelines, tool‐augmented agents and agentic workflows; familiar with prompt engineering, context management, evaluation and observability. Agent fundamentals: Understands how agents use memory ...

/CD pipelines Debugging & problem-solving skills with strong ownership across the SDLC.Generative AI & ML Requirements Experience building agents Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval). LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with prompt design, safety/guardrails, and cost/… perf tuning. Nice to have - Highly desirable: experience with AgentCore, AWS Neptune, Amazon API gateway- Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation)- Frontend development with React (TypeScript preferred) to build the application's UI (state management, routing ...

advisor to client CxOs. Key Responsibilities Architecture and Solution Design: Architect enterprise AI solutions using frontier models (Claude, GPT, Gemini family) across agentic automation, RAG, copilots, and multi-modal applications. Pre-Sales and Discovery: Lead technical solutioning during pre-sales and discovery, translating client business challenges into scalable AI architectures … specifically on applied AI/ML or Generative AI. Hands-on GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment ...

advisor to client CxOs. Key Responsibilities Architecture and Solution Design: Architect enterprise AI solutions using frontier models (Claude, GPT, Gemini family) across agentic automation, RAG, copilots, and multi-modal applications. Pre-Sales and Discovery: Lead technical solutioning during pre-sales and discovery, translating client business challenges into scalable AI architectures … specifically on applied AI/ML or Generative AI. Hands-on GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment ...

tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams Applies knowledge … multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environment Experience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages ...

platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimization, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalization. We're excited about you because you have...BSc, MSc, or PhD in Computer Science or equivalent3+ … developer platforms, internal platforms, or self-serve infrastructureExperience building and deploying AI agents or MCP servers in productionExperience with eval systems, LLM observability, tracing, RAG, search, or vector databasesDiversity, Equity and InclusionAt Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion ...

platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimization, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalization. We're excited about you because you have...BSc, MSc, or PhD in Computer Science or equivalent3+ … developer platforms, internal platforms, or self-serve infrastructureExperience building and deploying AI agents or MCP servers in productionExperience with eval systems, LLM observability, tracing, RAG, search, or vector databasesDiversity, Equity and InclusionAt Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion ...

capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next‐generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People … impact, ideally in enterprise environments. Practical experience working with large language models (ideally in a enterprise or start‐up setting): prompt engineering, agent development, RAG pipelines, evaluation frameworks, workflows, and deployment. Technical Skills Solid programming proficiency (we are open to any experience but primary languages include: TypeScript and the JavaScript ...

efficiency Developing reusable AI capabilities and accelerators Supporting analysis, reporting and knowledge management initiatives Technical Responsibilities Python development AI agent orchestration LLM applications and RAG solutions API integrations Data pipelines Cloud-based development Application development Workflow automation What We're Looking For Essential 2-4 years' software engineering experience Strong … automation tooling Experience delivering real-world software solutions Strong problem-solving ability Excellent communication skills Highly Desirable AI Agents/Agentic AI experience RAG architectures Data engineering experience Cloud platforms (Azure, AWS or GCP) Modern application development experience Consultancy or client-facing experience Interest in emerging AI technologies Who This ...

Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability … Intelligence, Statistics, Data Science, or a related STEM field. Experience applying Generative AI and LLMs to customer-facing products and designing, building, or scaling RAG systems. Experience in search, ranking, recommendations, personalisation, content intelligence, moderation, NLP, computer vision, or related AI domains. Experience with Airflow or comparable workflow orchestration platforms. ...

Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability … Intelligence, Statistics, Data Science, or a related STEM field. Experience applying Generative AI and LLMs to customer-facing products and designing, building, or scaling RAG systems. Experience in search, ranking, recommendations, personalisation, content intelligence, moderation, NLP, computer vision, or related AI domains. Experience with Airflow or comparable workflow orchestration platforms. ...

with Azure OpenAI, Azure AI Document Intelligence or comparable cloud-based AI and document-processing services. Experience designing solutions involving generative AI, retrieval-augmented generation or AI agents. Knowledge of secure prompt design, model governance, data privacy and responsible AI controls. Experience with ...

systems. Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing. Demonstrated ability to assess technical AI risks and recommend practical controls ...

systems (Kafka or similar) are a plus. Shipped AI in a real product, not only notebooks: LLM APIs, tool/function calling, retrieval-augmented generation, evaluation, or document/vision extraction. You can talk about failure modes (hallucination, cost, latency, prompt injection, PII). ...

Experience in cybersecurity, email security, or adjacent enterprise SaaS domains preferred.* Familiarity with AI/ML concepts including prompt engineering, model evaluation, retrieval-augmented generation, and agent orchestration frameworks is valuable but can be developed in-role.* Prior experience in a developer enablement, developer ...