26 to 46 of 46 Retrieval-Augmented Generation Jobs in the North of England

prototypes, products and production ready solutions ·Designing and implementing end to end AI solutions that integrate with enterprise systems ·Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning ·Developing AI agents and agentic workflows using modern frameworks ·Working with vector databases, APIs and modern data platforms ·Supporting … collaborative, high performing environment Experience Required: ·Strong Python and SQL experience ·Applied AI engineering, ML engineering or software engineering background ·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning ·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks ·Experience with vector databases such as Pinecone, Chroma ...

SeniorAIEngineerManchester Agrowingtechnology-ledbusinessisseekinga SeniorAIEngineer toplayapivotalroleinshapinganddeliveringitsAIstrategy.Thisisasenior-level,hands-onpositionresponsiblefordesigning,building,anddeployingenterprise-gradeAIsolutionsthatdrivemeasurablebusinessvalueacrosstheorganisation. WorkingcloselywithIT,Data,Engineering,andseniorbusinessstakeholders,youwillleadthedevelopmentandimplementationofadvancedAIsolutions,leveragingLargeLanguageModels(LLMs),Retrieval-AugmentedGeneration(RAG),AIAgents,MachineLearning,andAzureAIservices.Youwillprovidetechnicalleadership,establishbestpractices,andhelpbuildtheorganisationslong-termAIcapability. ThebusinessisinvestingheavilyinAIandislookingforsomeonewhocancombinedeeptechnicalexpertisewithstrategicthinking,takingsolutionsfromconceptthroughtoproductiondeploymentandadoption. TheidealcandidatewillhaveastrongfoundationinAIEngineeringcombinedwitharobustDataSciencebackground,enablingthemtodevelop,evaluate,andoptimiseAIsolutionsthatdelivermeasurablebusinessoutcomes. ThisrolewouldsuitanexperiencedAIprofessionalwhoenjoyssolvingcomplexbusinesschallenges,mentoringothers,influencingtechnicaldirection,anddeliveringinnovativeAIsolutionsatscale. RolePurpose AsaSeniorAIEngineer,youwillleadthedesign,development,deployment,andoptimisationofenterpriseAIsolutions,ensuringtheyaresecure,scalable,maintainable,andalignedtobusinessobjectives. YouwillactasasubjectmatterexpertforAItechnologies ...

shape strategy and drive delivery within a large, complex organisation Knowledge of modern AI approaches, including areas such as Retrieval Augmented Generation (RAG), prompt engineering, observability and evaluation Experience in cyber security, fraud analytics, behavioural analytics or threat detection would be particularly valuable. This ...

shape strategy and drive delivery within a large, complex organisation Knowledge of modern AI approaches, including areas such as Retrieval Augmented Generation (RAG), prompt engineering, observability and evaluation Experience in cyber security, fraud analytics, behavioural analytics or threat detection would be particularly valuable. This ...

shape strategy and drive delivery within a large, complex organisation Knowledge of modern AI approaches, including areas such as Retrieval Augmented Generation (RAG), prompt engineering, observability and evaluation Experience in cyber security, fraud analytics, behavioural analytics or threat detection would be particularly valuable. This ...

Lead the implementation of AI-enabled applications and platform capabilities. Establish reusable patterns, frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards for AI observability … applications on Azure, AWS, or GCP. Strong knowledge of Kubernetes, Microservices, APIs, Event-Driven Architecture, and DevOps practices. Hands-on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. Strong ...

DevOps best practices. Collaborate with architects, product teams, and engineers to deliver high-quality solutions. Contribute to AI-enabled application development, including LLM and RAG integrations where applicable. Required Skills 10+ years of software engineering experience. Strong hands-on expertise in Java and/or Python. Cloud-native application development … APIs. Event-driven architecture (Kafka, Event Hub, RabbitMQ, etc.). CI/CD, DevOps, and Agile delivery practices. Preferred Skills Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Banking or Financial Services domain ...

pipelines. The engineer must also ensure solution quality through evaluation frameworks, ground-truth validation, and defined performance metrics. Key Responsibilities Design and buildGenAI/RAG-based applicationsusing data from multiple enterprise systems. Integrate withstructured and unstructured data sources, including databases, APIs, files, and document repositories. Develop pipelines toparse and extract ...

Skills Strong banking domain expertise (retail, lending, payments, contact center) Expertise in Conversational AI/IVR and GCP architecture Knowledge of Agentic AI, RAG, and API-led integrations Exceptional stakeholder engagement and influencing skills Experience 1218+ years in enterprise architecture/solution design Proven experience in onsite client-facing roles ...

grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability … implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms ...

people with: Strong TypeScript/Node.js engineering experience Experience building and deploying production systems in AWS Experience working with LLMs, agentic workflows and RAG architectures Curiosity around emerging technologies and AI-native development Strong stakeholder engagement skills The ability to move quickly in ambiguous environments This is not a role ...

tooling and standards while leading hands-on development and mentoring engineers across cloud and API-enabled platforms. You will work with Python, LLMs, and RAG, influencing technical direction and delivering scalable AI capabilities within the organization. #J-18808-Ljbffr ...

Agentic Engineer (MedTech) Were partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical … experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version ...

Requirements gathering from business users AI & Automation Experience with Generative AI tools Prompt engineering Basic understanding of LLMs and RAG (Retrieval Augmented Generation) AI use case identification, assessment and delivering from concept through to implementation and adoption. Familiarity with Microsoft Copilot, ChatGPT Enterprise ...

teams. Design and deliver Voice AI/Agentic IVR solutions leveraging: Google CES/CXAS, Dialogflow CX/CCAI Vertex AI (LLMs, RAG, agent frameworks) Define and implement enterprise data architecture for Voice AI: Conversation data pipelines (real-time + batch) Integration with data lakes, warehouses (BigQuery) Customer … contextual data enablement Build RAG-based knowledge systems integrating structured and unstructured banking data. Architect data-driven decisioning for voice agents (personalization, next-best action, fraud detection signals). Ensure integration with core banking, CRM, and analytics platforms . Establish data governance, lineage, quality, and compliance frameworks (GDPR ...

Months Rolling Contract We are looking for an experienced GenAI Python Engineer with strong hands-on experience building end-to-end Generative AI and RAG applications within enterprise environments. The successful candidate will be responsible for integrating data from multiple systems, extracting and parsing information from documents and images, working … robust retrieval pipelines, and ensuring solution quality through evaluation frameworks and ground-truth validation. Key Responsibilities Design and build enterprise GenAI and RAG-based applications using data from multiple systems. Integrate structured and unstructured data sources, including databases, APIs, files and document repositories. Develop pipelines for extracting ...

production-ready. Technology The successful candidate will work with modern cloud platforms (AWS or similar), vector databases, knowledge graphs, retrieval systems, embeddings, RAG architectures, data pipelines, APIs and contemporary AI tooling. What they're looking for Strong commercial experience in senior data engineering, knowledge engineering or a closely … technologies and architectures rather than defaulting to a single solution. Strong software engineering and cloud platform fundamentals. Nice to have Experience with production-scale RAG architectures and retrieval evaluation. Knowledge of emerging open knowledge standards and interoperable knowledge formats. Experience with context engineering for AI agents ...

Engineer | Digital Agency | £60-70,000 NLP | LLM | RAG | AI | ML My client is currently looking for an AI Engineer , to play a key role in designing, building and embedding AI-enabled capabilities across digital products and shared platforms. You will focus on the practical application of large language models … experience building solutions using LLMs, machine learning or applied AI techniques to solve practical business problems. Experience with prompt engineering, retrieval augmented generation, semantic search, AI workflow orchestration or agent-based approaches. Experience working with business or domain data to ground, evaluate and improve ...

into scalable products. What you’ll be doing Build and deploy production AI solutions using Python and modern AI frameworks Develop LLM applications using RAG, prompt engineering and agentic workflows Shape AI architecture, tooling and engineering standards Work across Azure, cloud infrastructure and deployment pipelines Integrate AI solutions into existing … engineers and support technical decision-making What we’re looking for Strong software engineering background with production AI experience Python experience Experience with LLMs, RAG and AI application development Azure and cloud infrastructure experience Understanding of APIs, DevOps and scalable systems Experience influencing technical direction and mentoring engineers This ...

autonomy to build and shape the AI function as your own. What You'll Do Lead the design and deployment of a market-leading RAG conversational agent, working with a large, complex proprietary dataset. Partner with product managers, content managers and senior stakeholders to design, develop, deploy and optimise state … user requirements. Optimise LLMs, datasets and agent workflows to the highest quality standards, detecting and mitigating hallucinations and output errors. Deploy and maintain RAG architecture and LLM pipelines within cloud environments. Optimise data-chunking and text embeddings for optimal semantic search across a large, specialist corpus. Track the competitive landscape ...

operate hands‐on where needed. Proven experience leading teams of Principal Engineers and Architects in complex environments. Strong understanding of AI integration patterns (e.g. RAG, embeddings, vector databases), cloud‐native architectures, and scalable distributed systems. Experience overseeing AI‐enabled product capabilities at scale. Proven ability to drive high standards … software architecture patterns, including microservices, event‐driven systems, and cloud‐native design. Strong understanding of AI/ML concepts and integration approaches, including LLMs, RAG architectures, vector databases, and responsible AI practices. Expertise in scalable platform design, performance optimisation, and distributed systems used by high‐volume, global user bases. Solid ...