151 to 175 of 501 Retrieval-Augmented Generation Jobs in London

Company Description At IFS, we're building the next generation of AI-native enterprise software, transforming how some of the world's largest organisations manage assets, operations and critical services. This is an opportunity to work at the forefront of modern AI engineering, building intelligent products that combine … orchestration capabilities. Experience evaluating AI solutions for quality, reliability, latency, cost and security. Understanding of prompt engineering, context engineering, Retrieval‐Augmented Generation (RAG), tool calling and modern AI application architectures. Experience applying AI‐assisted engineering practices throughout the software development lifecycle, including specification, implementation ...

scientific/clinical domain. Nice to Have (Desirable Requirements) ML - Experience of classical ML and NLP methods Software craft – testing, observability, documentation, code review RAG pipelines at depth - experience building secure, compliant ingestion and retrieval systems with provenance tracking, including web automation, parsing, and document processing Agent frameworks ...

7+ years in developing IT solutions* Proficient in Python & ReactJS and related technologies is required.* Experience with GenAI application development including vector stores, RAG solutions, context engineering, prompt engineering, observability is essential* Experience with Agentic AI development & Java Spring Framework would be advantageous* Understanding of full stack development and architecture ...

/EKS, Lambda, Bedrock, Docker). Notable understanding and experience building generative AI applications (LangChain, AutoGen, CrewAI or similar). Validated production experience with RAG, agent, and MCP-based systems, including AgentOps (CI/CD, monitoring, optimisation). Applied, pragmatic "builder/hacker" mindset with rapid iteration (idea ...

model evaluation, testing, validation, and responsible AI. Design and improve AI systems using techniques such as prompt engineering, retrieval augmented generation (RAG), and AI agents. Mentor data scientists and provide technical leadership through code reviews and coaching. Partner with engineering teams to deliver scalable … What we're looking for Extensive experience developing AI and machine learning solutions in production environments. Strong expertise in large language models, generative AI, RAG, prompt engineering, and agentic AI. Excellent Python programming skills and experience with modern AI and data science frameworks. Strong foundation in statistics, machine learning ...

methodologies and AI-native IDEs, covering positioning, workshop delivery, and customer engagement across the full lifecycleCreate best practices and architectural guidance on Next-Generation Software Development, being a thought leader on the area. Be the technical reference on Next-Gen Development for the EMEA Partner Organization, collecting … microservices, or language/framework upgrades- Knowledge of generative AI foundations: large language models, prompt engineering, context engineering, retrieval augmented generation (RAG)- Experience enabling or developing partner ecosystems (system integrators, ISVs, consulting firms)- Familiarity with IDE extensibility, developer tooling, and software supply chain practices ...

tool orchestration, agent frameworks, or LLM integration. Experience building applications that leverage Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), vector databases, embeddings, or semantic search technologies. Experience integrating AI services into enterprise business applications. Experience within Manufacturing, MES, ERP, Industrial … opportunity to turn ideas into production reality. For the right individual, this role offers the opportunity to build the foundations that power next-generation AI capabilities across manufacturing solutions, working alongside experienced architects, product leaders, and engineers to shape the future of intelligent manufacturing software. DepartmentDevelopmentEmployment TypeFull TimeWorkplace ...

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 blocks ...

SQL. Solid experience working on data science or AI projects. Experience with AWS, Azure or GCP Experience with ML and modern LLM/RAG systems. Strong communication skills and ability to collaborate with international teams Experience delivering data-driven solutions in a production environment For Immediate interview consideration please contact ...

track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands‐on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms ...

track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms ...

track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms ...

including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems ...

work with or learn Go Hands-on experience building and operating production AI applications using large language models and agentic frameworks Understanding of RAG, MCP, LangGraph or similar technologies, including tool integration and prompt design Experience creating reliable AI agents through evaluation, guardrails and token and cost optimisation Proficiency with ...

Python and JavaScript Hands-on experience with backend frameworks and modern frontend frameworks Deep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative ...

system design, application development, testing, and operational stability. Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals, and coding assistants. Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade ...

from early foundations to a production-grade, self-service platform: Amazon Bedrock and the surrounding tooling (model access and routing, guardrails, knowledge bases/RAG patterns, agentic workflows), with the observability, cost controls and security posture required to run it in a regulated environment (AI Experience not essential but highly ...

from early foundations to a production-grade, self-service platform: Amazon Bedrock and the surrounding tooling (model access and routing, guardrails, knowledge bases/RAG patterns, agentic workflows), with the observability, cost controls and security posture required to run it in a regulated environment (AI Experience not essential but highly ...

system design, application development, testing, and operational stability. Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals, and coding assistants. Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade ...

learn (or existing knowledge of) Spark. Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI (e.g. RAG, fine-tuning, LLMOps). Experience with the modern data stack and open-source data tooling, and with at least one major public cloud (AWS, Azure ...

exposure to AI or ML security in practice. Solid understanding of AI and LLM security concepts, including prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, and agentic risks such as tool poisoning, excessive agency, and MCP server vulnerabilities. Experience securing agentic AI systems, including sandboxing, permission scoping, human ...

marketplace business with high-cardinality partner/catalogue data. Experience building or supporting AI/LLM-facing data products — a chatbot, a RAG pipeline, an agent with database access. Experience with GitHub Actions-based CI/CD for data pipelines. Good To Know: TodayTix Group takes care of our team. ...

largest enterprise customers and prospects unlock the full potential of the AI-powered Zendesk Resolution Platform. You will design and architect next-generation service solutions that drive measurable business outcomes, transforming traditional support centers into highly efficient, Autonomous Service Workforces. Simultaneously, you will act as a critical technical … Model (LLM) Literacy: Exposure to or hands‐on experience with experience architecting and deploying generative AI solutions, prompt engineering, Retrieval‐Augmented Generation (RAG) frameworks, and Agentic AI reasoning systems. Modern API & Integration Proficiency: Advanced expertise with RESTful APIs, JSON implementations, web services, database design ...

multi‐modal large language models across text, image, audio, and video Design and implement agentic workflows using prompt engineering, Retrieval‐Augmented Generation (RAG), APIs, and enterprise data integrations Fine‐tune, optimize, and deploy large language and multi‐modal models with a focus on scalability ...

design, model selection, prompt engineering, and responsible AI practices. You should be comfortable discussing topics ranging from model fine-tuning and RAG (Retrieval-Augmented Generation) architectures to AI governance, cost optimization for AI workloads, and emerging trends in generative AI. Your ability to translate ...