51 to 69 of 69 Prompt Engineering Jobs in London

frameworks Multi-agent orchestration Retrieval-augmented workflows LangChain, LlamaIndex, or similar agent toolkits Evaluation, monitoring, and safety Best practices for productionising agentic systems Advising engineering teams during hands-on sessions Helping define capability uplift and internal AI maturity Providing guidance around responsible & safe AI use Required Experience 5+ years … Software/AI Engineering Strong hands-on experience with: Python LLM orchestration frameworks (LangChain, OpenAI Agents, CrewAI, Haystack, etc.) Agentic AI design and deployment RAG, vector stores, prompt engineering Prior experience delivering technical training or mentoring Ability to translate complex concepts into practical, accessible material Self-sufficient ...

Engineer who loves building reliable applications powered by large language models. This role is less about model research and more about engineering robust AI systems that work in the real world. What you’ll be doing Designing and deploying production AI applications using LLMs Building RAG pipelines, agentic workflows … across different models What we’re looking for Hands-on experience building applications with LLM APIs Practical knowledge of RAG architectures, vector databases, and prompt engineering Experience building multi-step AI workflows or agent systems Strong Python (or similar) and experience building production services Understanding of cloud platforms ...

fast-growth environments) Role 1: AI Engineer Expert-level Python with exposure to frontend technologies (TypeScript/React preferred) Hands-on experience with LLMs, prompt engineering, and evaluation frameworks Ability to ship AI-powered features end-to-end Minimum 3 years of experience Role 2: Applied AI Engineer … Strong backend engineering experience (Python preferred) Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows Experience building RAG pipelines and AI agent orchestration systems Minimum 5 years of experience 📩 Interested? Message me here or email mmatysik@trg-uk.com ...

design and build advanced AI systems including knowledge graphs, multi-agent orchestration, evaluation frameworks, and self-improving AI pipelines. This role goes far beyond prompt engineering, you'll operate as a systems architect, working across LLM orchestration, context engineering, vector databases, and scalable cloud infrastructure. The stack ...

turns raw information into actionable insight and automated workflows for enterprise customers. Working directly with the founders, you will shape the architecture, infrastructure, and engineering culture from day one while building a product designed to scale into a major enterprise platform. What They’re Looking For TypeScript development React … frontend development Python development PostgreSQL database architecture LLM orchestration and prompt engineering Data ingestion pipelines including APIs, RSS feeds, and web scraping Vector databases and modern AI data pipelines Cloud infrastructure and SaaS deployment Observability, testing frameworks, and CI pipelines Proven ability shipping real products such as SaaS ...

Reporting to : Head of Legal Engineering (working closely with the CEO) Location : London hybrid/remote (UK-based) Salary : £35,000–50,000 + Opportunity for equity About Us Lexical Labs is an innovative legal technology company specialising in AI-driven contract analysis and review. Our mission … ensure our products genuinely align with how lawyers and in-house teams actually work. You’ll work closely with our Head of Legal Engineering, engineers, and founders to: Encode legal judgment into scalable, repeatable systems; and Bridge the gap between “how lawyers think” and “how machines operate”. This ...

About the Role As a Senior Engineer and Team Lead at Futuria, you'll own the delivery, quality, and culture of a core engineering team building our AI-driven platform. This is a hands-on technical leadership role where you'll split your time between writing production code … mentoring engineers. You'll lead a cross-functional engineering team working across our distributed platform stack. You're accountable for your team's execution, code quality, testing practices, and continuous improvement. This is NOT a product management role and NOT a solo contributor role. You're the technical leader ...

will preprocess and clean large text datasets, removing noise and polishing tokens until the patterns shine. You will experiment with embeddings, attention layers, and prompt designs to unlock hidden insights from language. You will fine-tune pre-trained LLMs on domain-specific data, making them more accurate, responsive … context-aware. You will evaluate models using metrics like perplexity, BLEU, ROUGE, F1 score, and user-centric feedback. You will implement prompt engineering strategies to ensure outputs are high-quality, reliable, and safe. You will help integrate LLMs and other ML models into applications, APIs, and production pipelines. ...

data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling ...

automation workflows. Think event-driven architecture, cloud-native infrastructure, and LLM integrations that actually have to work under pressure. You'll need • Strong backend engineering fundamentals • AWS hands-on experience: Bedrock, Secrets Manager, the real stuff • Production LLM/AI integration experience: evals, prompt engineering, handling unpredictable ...

Microsoft 365 applications (Word, Excel, PowerPoint, Outlook, Teams, OneNote, OneDrive) Strong working knowledge of Microsoft 365 Copilot or similar generative AI tools, including prompt engineering techniques Experience with NetDocuments Experience supporting mobile devices and associated applications Experience using eLearning development tools Experience delivering remote training via Teams ...

guidance on platform capabilities, architecture patterns, and best practices. Agent Design & Deployment: Design and build custom Agentforce Agents for autonomous workflows, including intent design, prompt templates, and natural language interactions. Technical Integration: Architect end-to-end solutions that unify Salesforce Data Cloud and Agentforce to ensure agents have … profiles. Team Leadership: Lead squads of developers, business analysts, and testers; act as an escalation point for technical issues and mentor the team on prompt engineering. Governance & Testing: Utilize the Agentforce Testing Center to validate agents and track performance metrics to execute iterative improvements. Stakeholder Management: Build strong relationships ...

Strong foundation in software development with C# and TypeScript. - Experience with AI/LLM concepts (e.g., prompt engineering, RAG). - Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. - Focus on Clean Architecture and Clean Code principles. Reasonable Adjustments: Respect and equality are core ...

Strong foundation in software development with C# and TypeScript. - Experience with AI/LLM concepts (e.g., prompt engineering, RAG). - Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. - Focus on Clean Architecture and Clean Code principles. Reasonable Adjustments: Respect and equality are core ...

Hands-on experience designing and delivering technical training (in-person, virtual and hybrid). Solid understanding of AI in workplace learning (e.g. generative AI, prompt engineering, responsible use). Experience with LMS platforms and digital content management. Confident communicator, able to simplify complex technology for varied audiences. Strong ...

automated payment splitting (e.g., Stripe Connect) between the candidate and the platform.Build backend services for Job Postings, Talent Profiles, Employer Accounts, and Application Processing.Prompt Engineering: Maintain and optimize the internal library of AI prompts used to generate and update the application’s features.Intelligent Matching & Automation Engine· Design the automation ...

Concept generation • Produce AI-generated product and marketing videos • Maintain visual consistency across people, products, and environments • Build repeatable AI content workflows • Own prompt engineering and post-production polish • Collaborate with creative and marketing teams • Ensure ethical and commercial-safe use of synthetic people Core skills & experience: • Proven ...

strategic direction into product content and to influence consensus-building across systems and brands. Demonstrated curiosity to explore and apply emerging AI technologies, including prompt engineering and structured content, to enhance strategy and operational efficiency. Experience applying human-centered design practices to content challenges across systems and brands. ...

pipelines and cloud environments. Globalization & AI Solid knowledge of i18n, localization systems, globalization platforms, NMT engines. Strong literacy of LLM-based systems and prompt engineering. Experience in multilingual systems and experimentation. Working knowledge of NLU/NLP concepts Architecture & Operations Experience contributing to system designs and technical reviews. Awareness … technical partners. Learning & Growth mindset Stays current on AI + globalization trends: keeps up with developments in LLMs, MT/NMT, evaluation methods, prompt/agent patterns, terminology management, and content quality practices Demonstrates a repeatable approach to learning: read, experiment, measure, operationalize. Can articulate trade-offs ...