26 to 43 of 43 Retrieval-Augmented Generation Jobs in the Midlands

multi-cloud or hybrid environmentsExposure to Infrastructure as Code (e.g., Terraform, CloudFormation)Experience in large-scale, complex, or regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistants.Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)Person SpecificationStrong technical authority with the ability ...

multi-cloud or hybrid environmentsExposure to Infrastructure as Code (e.g., Terraform, CloudFormation)Experience in large-scale, complex, or regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistants. Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)Person SpecificationStrong technical authority with the ability ...

multi-cloud or hybrid environmentsExposure to Infrastructure as Code (e.g., Terraform, CloudFormation)Experience in large-scale, complex, or regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistants.Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)Person SpecificationStrong technical authority with the ability ...

multi-cloud or hybrid environmentsExposure to Infrastructure as Code (e.g., Terraform, CloudFormation)Experience in large-scale, complex, or regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistants. Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)Person SpecificationStrong technical authority with the ability ...

Azure, including SaaS and PaaS offerings. Hands-on experience building and deploying with modern AI, including large language models and agentic AI (prompt engineering, RAG, tool and function calling, orchestration), on the Microsoft AI stack such as Azure OpenAI, Azure AI Foundry and Azure AI services. Proven experience of technical ...

equivalentsPrompt engineering, context design and agentic workflow frameworksEvaluation harnesses, evaluation datasets and automated test suites for AI outputsRetrieval-augmented generation (RAG), vector search, embeddings and retrieval pipelines (desirable)LLM orchestration frameworks (LangChain, Semantic Kernel or equivalents – desirable)Technical and Professional ExpertiseStrong software engineering background … GitHub Copilot, Cursor or equivalents, with a practical view of where they help and where they mislead.Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use or fine-tuning in production settings.Experience with LLM APIs, orchestration frameworks, vector search, embeddings, retrieval pipelines, evaluation datasets ...

equivalentsPrompt engineering, context design and agentic workflow frameworksEvaluation harnesses, evaluation datasets and automated test suites for AI outputsRetrieval-augmented generation (RAG), vector search, embeddings and retrieval pipelines (desirable)LLM orchestration frameworks (LangChain, Semantic Kernel or equivalents – desirable)Technical and Professional ExpertiseStrong software engineering background … Copilot, Cursor or equivalents, with a practical view of where they help and where they mislead. Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use or fine-tuning in production settings. Experience with LLM APIs, orchestration frameworks, vector search, embeddings, retrieval pipelines, evaluation ...

agentic AI systems for enterprise clients, in partnership with leading frontier-model providers. We already support clients from different verticals to have agentic and RAG systems live in production across healthcare, financial services, retail and global logistics. As a Forward Deployed AI Engineer you work embedded in the client … least one of: Anthropic Agent SDK, LangGraph, LlamaIndex, or an equivalent orchestration framework, plus the judgement to know when to use none of them. RAG and retrieval: Chunking strategy, embeddings, hybrid and semantic search, re‐ranking, citation and provenance, natural‐language‐to‐query translation. Data platforms: NoSQL databases ...

language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks and automated quality pipelines for AI outputsTechnical and Professional ExpertiseSolid production experience with C# .NET, including working in established … results to improve quality.Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents.Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings.Experience with LLM APIs across more than one provider, with a feel for their trade ...

language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks and automated quality pipelines for AI outputsTechnical and Professional ExpertiseSolid production experience with C# .NET, including working in established … improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their ...

Language Models (LLMs), AI-assisted development tools, and modern AI frameworks. Has understanding of AI system architecture, prompt engineering, vector databases, RAG (Retrieval-Augmented Generation), and AI service integration and has experience evaluating Has knowledge of database systems and excellent problem-solving skills ...

experience across some or all of the following: Generative AI, Large Language Models (LLMs), AI assistants and AI agents. Retrieval Augmented Generation (RAG), enterprise search and knowledge management solutions. Solution, platform or enterprise architecture. Data architecture, integration, APIs and governance. Security, compliance, risk management ...

language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks and automated quality pipelines for AI outputsTechnical and Professional ExpertiseSolid production experience with C# .NET, including working in established … improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their ...

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 ...

powered features within a modern C#/.NET application stack. Integrate Large Language Models (LLMs) and Generative AI into customer-facing products. Build RAG pipelines using vector databases and semantic search. Develop APIs and backend services that support AI functionality at scale. Work closely with Product, Engineering and Data teams … looking for Strong commercial experience developing backend applications in C# and .NET. Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest in Applied AI and solving real-world product problems. ...

Star" for tech people involved in the implementation of AI related solutions.Provide technical oversight and architecture reviews for AI related projects.Monitor emerging AI patterns (RAG, Fine-tuning, Multi-agent systems).Collaborate with the AI & Data Transformation Lead to support Value Streams and Support Functions on advisory support for AI uses … business requirements with engineering execution. Experience with enterprise-scale systems, security standards, and AI governance is critical.Skills:Expertise in AI design patterns (such as RAG, Fine-tuning, and Agentic workflows) and model evaluation frameworks. Strong technical leadership and mentorship abilities, exceptional stakeholder management across cross-functional teams (Security, Data, Infrastructure ...

tech people involved in the implementation of AI related solutions. Provide technical oversight and architecture reviews for AI related projects. Monitor emerging AI patterns (RAG, Fine-tuning, Multi-agent systems).Collaborate with the AI & Data Transformation Lead to support Value Streams and Support Functions on advisory support for AI uses … business requirements with engineering execution. Experience with enterprise-scale systems, security standards, and AI governance is critical.Skills:Expertise in AI design patterns (such as RAG, Fine-tuning, and Agentic workflows) and model evaluation frameworks. Strong technical leadership and mentorship abilities, exceptional stakeholder management across cross-functional teams (Security, Data, Infrastructure ...

develop AI-powered features within a modern C#/.NET application stack.Integrate Large Language Models (LLMs) and Generative AI into customer-facing products.Build RAG pipelines using vector databases and semantic search.Develop APIs and backend services that support AI functionality at scale.Work closely with Product, Engineering and Data teams to deliver … ServerREST APIsMicroservicesDockerWhat we're looking forStrong commercial experience developing backend applications in C# and .NET.Experience integrating AI or LLM technologies into production software.Understanding of RAG, embeddings, prompt engineering and vector search.Experience building scalable cloud-based applications using Azure.A genuine interest in Applied AI and solving real-world product problems.What ...