1 to 25 of 27 Retrieval-Augmented Generation Jobs in the South East

optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research … Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud ...

design, build, and deliver next-generation AI systems. You will work across LLMs, retrieval-augmented generation (RAG), and modern agent frameworks to transform large, unstructured data into meaningful insights and production-ready capabilities. This is a hands-on role within a growing … entity extraction, and intelligent automation. Design scalable data and streaming pipelines capable of handling large, heterogeneous datasets. Build and optimize vector search, embeddings, and RAG systems to support high-quality retrieval. Deliver production-ready APIs, services, and model inference systems. Manage deployment, monitoring, observability, and continual improvement of ML models. ...

that power all internal GenAI product squads. You will be instrumental in designing and implementing our award winning Generative AI Platform Model Orchestration Layer, RAG infrastructure, communications layer, agentic layer and centralised governance/safety guardrails etc. This is a hybrid role, typically working 1 day per week … access to LLMs and other generative models. Engineer and maintain production-ready Vector Database and Retrieval-Augmented Generation (RAG) infrastructure, including high-throughput indexing pipelines and efficient retrieval strategies for enterprise data. Develop and manage a standardised, secure Agent Framework/ ...

Strands Agents, LangGraph, or similar LLM integration and fine-tuning (Claude, GPT-4, or equivalent) Strong prompt engineering skills, including chain-of-thought reasoning RAG & Knowledge Systems Implementation of Retrieval-Augmented Generation (RAG) pipelines Experience with vector databases such as CockroachDB, Pinecone, or similar ...

with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI ...

with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI ...

CrewAI, AutoGen, or equivalent internal frameworks). Practical experience in connecting agents and products to Retrieval-Augmented Generation (RAG) systems, understanding vector stores, chunking strategies, and retrieval performance. You will be connecting to our internal Gen AI Platform's vector databases. Experience ...

data processing frameworks (e.g. Apache Spark). Knowledge of Large Language Model (LLM) integration, Retrieval-Augmented Generation (RAG), or Agentic AI frameworks. Experience with high-performance computing (HPC) environments (e.g. SLURM), including use of GPU nodes for accelerating large-scale or AI-driven pipelines. ...

consultancy delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing … security standards and maintain NPPV3 clearance protocols throughout the engagement. Profile Proven experience in AI development and data engineering , with hands-on expertise in RAG and LangChain. Strong Python programming skills and familiarity with modern AI frameworks. Skilled in prompt engineering and understanding of LLM behavior and optimization. Practical knowledge ...

consultancy delivering a high-profile government project. Description Design and implement AI-driven solutions using Retrieval-Augmented Generation (RAG) and LangChain frameworks. Develop and optimize prompt engineering strategies to enhance model performance and accuracy. Build and maintain Python-based applications for data processing … security standards and maintain NPPV3 clearance protocols throughout the engagement. Profile Proven experience in AI development and data engineering , with hands-on expertise in RAG and LangChain. Strong Python programming skills and familiarity with modern AI frameworks. Skilled in prompt engineering and understanding of LLM behavior and optimization. Practical knowledge ...

solutions. Define product requirements, user stories, acceptance criteria, and success metrics for AI features. Oversee the life cycle of AI models (classification, extraction, summarization, RAG, LLM fine-tuning, etc.), including data sources, training needs, evaluation standards, and human-in-the-loop workflows. Ensure model performance meets legal-grade quality, reliability … discovery platforms, CLM systems, or legal research technologies. Familiarity with prompt engineering, model evaluation frameworks, retrieval-augmented generation (RAG), and fine-tuning techniques. Experience with responsible AI frameworks or compliance-sensitive software. Background working with structured legal data, ontologies, or knowledge graphs. Success Indicators ...

Implementing MLOps foundations including CI/CD, automated testing, monitoring, drift detection and model versioning Building generative AI features such as RAG pipelines, embeddings, and AI agents Developing clean, testable code and APIs using modern engineering practices Ensuring technical delivery aligns with security, governance, architecture and enterprise standards Evaluating ...

problem-solving and technical storytelling abilities. Commitment to ethical AI deployment. Key Skills Advanced Python and backend languages. Expertise in prompt engineering, fine-tuning, RAG, and agentic design. Familiarity with AI tools (GitHub Copilot, ChatGPT, SonarQube, LangChain, etc.). Understanding of observability, security, and compliance in AI systems. Experience with ...

Lead the design, implementation, and fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows. Deploy and monitor AI models on cloud ...

Services industry. Experience with Generative AI, Large Language Models (LLMs), and advanced frameworks like: LangChain, LangGraph, Haystack LlamaIndex, CrewAI, AutoGen, Transformers (Hugging Face) and RAG pipelines. Proven experience in leading teams and managing complex AI projects. Expertise in machine learning, data modelling, and advanced statistical techniques. Strong programming skills ...

high-impact projects while building and leading a team from the ground up. Key Skills/Experience: Experience with LLMs, generative AI models, and RAG pipelines. Frameworks: OpenAI, Anthropic Claude, Gemini, and open-source models Agentic AI, Langgraph, Crew AI, Autogen Python Development (Hands-on coding) Must have deployed ...

strong parent-company backing. Key Responsibilities Design and deploy AI features (intelligent search, procurement agents, predictive maintenance). Build and integrate LLM-driven agents , RAG pipelines, and predictive models. Collaborate with software engineers to embed AI securely into production. Define AI standards , select tools, and shape the technical roadmap. Opportunity ...

Power BI) Wrangle data from everywhere: RDS, MongoDB, HubSpot, S3 lakes—you name it Create the data foundations for their AI/ML initiatives (RAG workflows, LLMs, embeddings) Make Power BI dashboards that actually refresh when they're supposed to Implement governance that doesn't make people want to scream ...

Strong expertise in: API integration & inter-service communication (REST, Kafka) Authentication/Authorization (OAuth2, JWT, Azure AD) NLP techniques (NER, classification, chunking, summarization, QA) RAG architectures and working with LLMs (OpenAI, Anthropic, etc.) Vector databases (FAISS, Azure AI Search ...

scalable technical solutions Actively code, build and solve complex backend challenges Experience Required: Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

solutions Actively coding, building and solving complex backend challenges What do I need? Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

Exceptional communication and stakeholder engagement skills. Preferred Skills Expertise in prompt engineering, context management, and fine-tuning techniques (LoRA/QLoRA). Experience building RAG pipelines and agentic workflows for enterprise financial applications. Knowledge of vector databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j). Familiarity with observability tools … containerization and cloud deployment (Docker, AWS, Azure). Tools & Platforms GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development. LangChain, LlamaIndex for RAG implementations. SonarQube for code security and quality assurance. Jira with AI plugins for agile delivery. Monitoring tools like Datadog and Dynatrace for production reliability. Ideal ...

growing AI team , contribute to cutting-edge projects, and develop your skills with mentorship from senior engineers. You'll work on AI-powered applications, RAG pipelines, and model fine-tuning , solving real business problems. About the Role Design, implement, and fine-tune LLMs and generative AI solutions (OpenAI, Anthropic Claude … Gemini, open-source models) Build and optimize RAG pipelines , vector databases, and prompt engineering strategies Develop AI-powered applications integrating LLMs with APIs, agents, and workflows Deploy and monitor AI models on cloud platforms (Azure preferred; AWS/GCP acceptable) Collaborate with senior engineers and cross-functional teams to deliver ...

integrated with Microsoft 365, Teams, SharePoint, Power Platform and Dynamics (or relevant practice management systems) Create custom Copilot plugins, AI prompts, knowledge connectors and RAG-driven intelligence Data & Fabric Integration Partner with data engineering teams to leverage Microsoft Fabric and OneLake for high-quality, governed data sources Ensure Copilot solutions …/Autonomous workflows Microsoft 365 and Teams integrations Power Platform (Power Automate, Power Apps, Dataverse) Azure AI Services and Azure OpenAI Strong understanding of RAG architectures, knowledge search, document intelligence and enterprise data patterns Experience integrating AI solutions with CRM/ERP or case/practice management systems Soft Skills ...

Greetings!AdroitPeopleiscurrentlyhiring Title: Data Engineer Location:Bournemouth, UK WorkMode:Onsite-5 days/week Duration: FTE/FTC Keywords:AI/ML, GEN AI, DATA Engineer, Python Job Spec: AIML, Machine Learning & Data Science. Large ...