> Markdown version of [/jobs/ext/2992975-power-bi-application-developer-ai](https://www.wearedevelopers.com/jobs/ext/2992975-power-bi-application-developer-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Power BI & Application Developer - AI - **Company:** Harnham - **Location:** London, UK - **Salary:** £70,000.0 - £75,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Encodings, Information Engineering, Data Presentation, Database Queries, Power BI, Software Engineering, Tableau (Software), Application Enhancement Tool, Large Language Models, Performance Monitor, Front End Software Development, Virtual Agents - **Published:** September 19, 2026 - **Apply:** https://www.reed.co.uk/jobs/power-bi-application-developer-ai/57364524 ## About the Role * Strong Power BI experience, including DAX, dashboard development and embedding * Strong front-end / application development * Strong SQL skills * Experience working with AI / LLMs within applications * Experience with agentic AI / agentic workflows * Experience with MCPs (Model Context Protocol) * Strong understanding of VisOps, UX and data storytelling * Experience creating clear, executive-level reporting and analytics What Will Make You Stand Out * Experience integrating Claude or similar LLMs into applications/infrastructure * Hands-on experience building agentic flows and AI-powered tools * Experience with MCPs * Background delivering client-facing, productised analytics solutions * Consultancy experience delivering analytics/AI solutions to clients * Strong visual design and UX skills ## Description You'll work across Power BI, VisOps, application development and AI, building client-facing tools that turn complex data and AI outputs into clear, executive-level insights. * Build and develop client-facing applications and analytics tools * Develop AI-integrated dashboards and applications * Work with Claude, LLMs, agentic flows and MCPs * Transition existing Power BI / Tableau outputs into applications * Build executive-level performance reporting and visualisations * Work closely with Data Science, Data Engineering and Architecture teams * Support client demos, walkthroughs and training ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems)