# Henrik Ralvert — Full Knowledge Base > AI Engineer and Engineering Manager based in Stockholm, Sweden. Builds RAG systems, LLM tooling, MCP integrations, and agentic workflows. 15+ years across FinTech, AdTech, and Energy Trading. Site: https://henrikscv.se/ LinkedIn: https://www.linkedin.com/in/henrik-ralvert-011b3a16/ Contact: henrik.ralvert@gmail.com Location: Stockholm, Sweden --- ## Identity - **Name:** Henrik Ralvert - **Primary roles:** AI Engineer, Engineering Manager, Product & Engineering Leader - **Location:** Stockholm, Sweden - **Languages:** English, Swedish - **Education:** Master of Science in Mechanical Engineering, Lund University (2006–2011). Specialization in logistics, industrial production, and continuous improvement. - **Current company:** Ralva Affärsutveckling AB — own company focused on AI products and consulting ## Summary Henrik is a Mechanical Engineer turned Software Engineer and Engineering Manager. He has 15+ years of experience scaling teams, platforms, and products in regulated and high-scale environments — FinTech (Qliro), AdTech (Bannerflow), and Energy Trading (Expektra). He now focuses full-time on AI: building RAG systems, LLM + MCP tooling, AI image recognition, AI classification of human-written text, and agentic workflows. He pairs deep engineering leadership experience with hands-on AI engineering — uncommon in the Stockholm market. He is open to AI consulting assignments, engineering leadership roles, and impactful product engagements. --- ## AI Offering ### AI as tooling Help organizations use AI tools to achieve higher productivity, higher quality, and lower cost. AI productivity tooling can make people up to 10x more efficient when applied properly. Examples: - **Agentic Workflows** — Automate manual processes with AI: code reviews, test implementation, PR creation, documentation generation. - **SKILLS** — Equip AI tools with the skills they need to perform tasks with good quality, high speed, and low cost. - **TOOLS / MCP** — Develop Model Context Protocol tools so AI can work with databases, internal systems, and integrations. - **Security** — Set up systems so AI usage is secure for the corporate context. Mitigate access, cost, and security risks. - **Best practices** — How to get AI started in large codebases and continuously work with AI to scale efficiently and performantly. - **User tooling** — Claude Code, VSCode, Cursor, Claude Workspace. How to work best with the tools around AI. - **Migration** — Migrate a legacy project into an AI-empowered project. ### AI as product Build AI products used internally or sold to external parties. Examples: - **RAG systems** — Let AI use a large set of documents or data to answer questions or perform tasks. - **Data structuring** — AI reads human-written documents and structures them so users can search or apply AI on top. - **Chatbots** — Bots that make decisions and act on their own; learn and improve with use. - **AI products** — Products that use AI in image recognition, classification, etc. ### Concrete products Henrik has built - RAG system that classifies and structures human-written documentation. - Image editing system using AI semantic models. - Systems with LLMs and MCP tooling for both frontends and backends. ### Tech stack for AI work - Node.js (TypeScript), React, Python, MongoDB, ChromaDB, Express.js, Swagger - OpenAI platform, SAM3, Claude (Anthropic), Ollama --- ## Career ### AI Engineer — Ralva Affärsutveckling AB (2026 – present) Own company. Builds AI products using the latest AI tools for development. Products include LLMs with MCP, AI image recognition, AI classification of human-written texts, RAG systems and more. Tunes AI agent development processes with best practices to maximize agent performance and developer productivity — instruction structure, instruction composition, model strategy, SKILLS, MCP, and IDE tuning. The goal: maximize what a Claude agent can do, and maximize developer productivity around it. **Selected client work:** - RAG system for classifying and structuring human-written documentation - AI image editing system with semantic models - LLM + MCP tooling integrations for frontend and backend systems **Tech:** Node.js (TypeScript), React, Python, MongoDB, ChromaDB, Express.js, Swagger, OpenAI platform, SAM3, Claude, Ollama **Keywords:** AI development, AI tooling, RAG, classifications, data engineering, LLM, fullstack --- ### Engineering Manager — Qliro AB (2022 – 2025) Qliro is a Swedish FinTech providing payment solutions (Checkout, loans, savings) for e-commerce. Henrik led several development teams and strategic initiatives as Qliro transitioned from large-scale merchants to the SME segment. Personnel and budget responsibility, strong focus on scaling, reliability, and product innovation. Led AI tooling implementations and process improvements that significantly increased developer productivity. **Responsibilities & Achievements:** - Oversaw AI tooling implementations with significant productivity increase - Led significant process efficiency improvements — leaner, faster, better results - Managed up to 25 engineers across parallel teams with full budget and delivery ownership - Scaled merchant onboarding from 4 to 300+ merchants per year through automation and new GUI tooling - Led development of Qliro's flagship product, Checkout — SLA >99.99% and market-leading conversion rates - Oversaw iOS, Android, and Web consumer applications (loans, savings, payments) — including a new React Native architecture and Nordic strong-authentication integration - Introduced structured career paths for software engineers and a transparent promotion process - Led initiatives improving incident management, monitoring, and load/stress testing environments **Tech:** .NET Core, React, React Native, JavaScript, TypeScript, Kotlin, Swift, AWS, Auth0, MongoDB, DynamoDB, SQL, Windows Server (on-prem), Grafana, Kibana, Cypress, SpecFlow, K6, microservices, monolith, event-driven, TDD, iOS, Android, Web, in-app browsers **Keywords:** FinTech, regulated industry (DORA, GDPR, AML, PCI-DSS), settlements (avräkningar), financial reporting, transformational leadership, Scrum, Kanban, Agile, servant leadership, cross-team, networking, Jira, Opsgenie, project management, AI development tooling --- ### Engineering Manager — Bannerflow AB (2020 – 2022) Bannerflow is an AdTech company providing a leading platform for digital advertising and video. Henrik managed the Campaign Management System team, responsible for publishing over 10 billion ads per month. **Responsibilities & Achievements:** - Led a cross-functional team of 8 engineers, drove architectural decisions and delivery excellence - Implemented agile workflows (Scrum) to improve velocity, predictability, and quality - Ensured stable operations and scalability handling 2 TB/s of data flow - Previously served as Scrum Master and Front-end Developer for the Studio product **Tech:** .NET Core, Angular, JavaScript, TypeScript, Azure, MongoDB, Cosmos DB, microservices, event-driven **Keywords:** AdTech, transformational leadership, Scrum, Kanban, Agile, servant leadership, cross-team, networking, Jira --- ### Lead Frontend Engineer — Expektra AB (2019 – 2020) Expektra builds energy trading and AI-based consumption forecasting for the Nord Pool electricity market. **Responsibilities & Achievements:** - Designed and implemented the front-end architecture for Expektra's new energy trading application - Delivered on time, with advanced data visualization and synchronized interactive graphs **Tech:** Angular, JavaScript, TypeScript **Keywords:** financial trading, power industry, leadership, project management --- ### Software Engineer & Founder — Ralva Affärsutveckling (2017 – 2019) Independent consultancy building SaaS applications and IoT prototypes for clients across various industries. Built SaaS applications and delivered customer projects, experimented with sensor networks and IoT solutions. **Tech:** Angular, Node.js, C++, ESP32, IoT **Keywords:** consulting, SaaS, IoT, sales, prototyping --- ### Technical Manager — Almhaga AB (2015 – 2017) Swedish food production company. Henrik led technical operations and implemented lean process improvements. Managed 5 production lines with 12 operators. **Keywords:** food production, Lean, operations, manufacturing, quality, process improvement --- ### Business Developer — Foteviks (2011 – 2015) Foteviks produces world-unique food products preserved using natural methods — cheaper, greener, and healthier. Led business improvements, production planning, and research projects with Lund University. Took the business from bankruptcy to profitability. **Keywords:** business development, food production, research collaboration, production planning, profitability, sales optimization --- ## Education - **Master of Science in Mechanical Engineering** — Lund University, 2006–2011 - Specialization in logistics, industrial production, and continuous improvement --- ## Key competencies - Strategic leadership and R&D direction - Product strategy and portfolio management - Budget and cost responsibility - Agile methodologies and continuous improvement - System architecture and technical insight - Cross-functional stakeholder management - Risk and incident management - Scalable systems and reliability (SLA >99.99%) - Transparent communication and team engagement --- ## Leadership style Servant leadership over command-and-control. Henrik believes: - Clear ownership and clear expectations enable speed - Psychological safety and accountability go hand in hand - Sustainable delivery beats short-term heroics - Root-cause thinking beats symptom-fixing He brings positive energy to teams while staying calm and rational under stress. He invests in growing the people around him and creates environments where engineers can take ownership. ## QA philosophy Engineers own feature quality. Dedicated QA focuses on automation and identifying/mitigating the highest-business-impact risks. ## Agile practices Extensive experience with Scrum (retrospectives, sprint planning, refinement, planning poker, standups, demos) and Kanban. Always starts from the problem or root cause; emphasizes actionable retrospectives and metric-driven improvement. --- ## Recruiter Q&A **Q: Are you open to new roles?** A: Yes. Henrik is open to AI Engineer roles, Engineering Manager and Product & Engineering leadership roles, consultancy assignments, and impactful projects. Availability timing should be confirmed directly. **Q: What roles are you targeting?** A: AI Engineer, Engineering Manager, Head/Director of Engineering, or Product & Engineering leadership. Particularly interested in AI-related leadership and engineering roles where product impact is clear — not pure research roles. **Q: Which industries are the best fit?** A: FinTech (payments, checkout, settlements, PSP), AdTech (large-scale campaign and creative platforms), and Energy Trading. Earlier experience in manufacturing and food production. **Q: What's your location and work mode preference?** A: Based in Stockholm. Prefers hybrid; open to remote or onsite. Planning and retrospectives work best in person with whiteboards. Large open-office hot-desking environments are considered counterproductive for focus. **Q: What team scope have you led?** A: Multiple teams of 4–8 engineers, including senior engineers, QA, tech leads, and product owners/managers. Cross-department initiatives involving up to 11 teams. Up to 25 engineers under personal management at Qliro. **Q: What are notable delivery achievements?** A: Scaled merchant onboarding from 4 to 300+ per year (Qliro); maintained 99.9999%–100% SLA for Qliro Checkout; supported platforms serving ~10B ads/month at Bannerflow; ~90% reduction in manual support tasks for Merchant Portal. **Q: What's your leadership philosophy?** A: Servant leadership with clear ownership and expectations. Psychological safety paired with accountability. Sustainable delivery over heroics. Root-cause thinking. **Q: What tech stacks are you comfortable with?** A: React, React Native, TypeScript/JavaScript, .NET Core/C#, Node.js, Python; AWS (Lambda, S3, DynamoDB, Step Functions), Azure (Functions, Cosmos DB); Kafka; SQL/NoSQL; Cypress, Grafana, K6. For AI work: OpenAI, Claude, Ollama, ChromaDB, RAG architectures, MCP. **Q: How do you approach QA?** A: Engineers own feature quality. QA focuses on automation and identifying/mitigating risks with the highest business impact. **Q: What agile practices do you use?** A: Scrum and Kanban. Regular retrospectives with metrics and action follow-ups, sprint planning, refinement, planning poker, standups, demos. Always starts from the problem or root cause. **Q: What's your notice period / salary expectation / relocation / visa status?** A: Not provided here. Please contact Henrik directly to confirm. **Q: What's your availability?** A: Open for recruitment and consultancy. Confirm specifics directly. --- ## How Henrik learns AI - **Hands-on** — projects in collaboration with others to learn how to use the tools properly - **Top-tier educational material** — to learn real best practices and the proper way to work with AI as both a tool and a product - **Industry leaders & forums** — continuous scanning of the latest in AI --- ## Contact - Email: henrik.ralvert@gmail.com - LinkedIn: https://www.linkedin.com/in/henrik-ralvert-011b3a16/ - Website: https://henrikscv.se/ - Location: Stockholm, Sweden