--- title: 'Software Engineering Intern at Qontext' canonical: 'https://feeny.ai/job/software-engineering-intern-qontext-berlin-p0r7qh4qdm7s' type: 'job' last_seen: '2026-09-06' --- # Software Engineering Intern at Qontext - **Company:** Qontext - **Location:** Berlin, Germany - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-03-06 - **Last confirmed live:** 2026-09-06 - **Apply:** https://jobs.ashbyhq.com/qontext/db01a1b4-896a-4d06-a756-ec0b3c9278ee ## Job description We're building the self-maintaining source of truth for the AI-native company, the context repository that keeps company knowledge structured, up-to-date, permission-aware, and ready for every AI agent. That takes people who are exceptionally talented, obsessed by the vision, and set on doing the best work of their lives. If that's you, read on. We're building the self-maintaining source of truth for the AI-native company, the context repository that keeps company knowledge structured, up-to-date, permission-aware, and ready for every AI agent. We hire people who are exceptionally talented, obsessed by the vision, and set on doing the best work of their lives. ## THE OPPORTUNITY You'll work shoulder to shoulder with our founders and first full-time hires on real product, shipped to real users. No busywork, no side projects kept far from the codebase. Depending on your strengths, you go deep in one of four areas: - Database: The data model, versioning, and consistency at the core of the context repository. - Platform: The DevOps backbone: Deployment, scalability, and reliability that keep the platform fast and always up. - Product: The surfaces where users control access controls, run change reviews, and shape their context. - Applied AI: MCP clients, evals, and the agent workflows that turn the repository into something AI can actually use. We're already live with 15+ design partners and launching v1 in Q3 2026. The architecture, the product, and the category are still being decided. You'll help decide them. ## WHAT YOU’LL DO - Own at least one project end to end, from idea and design to shipping and iterating on user feedback - Ship features across the stack in TypeScript or Python, in the area that fits you best - Move fast and keep quality high: write tests, sharpen interfaces, and leave the codebase better than you found it - Take real responsibility from week one and push your work over the line yourself ## YOU’LL THRIVE HERE IF YOU… - Have raw drive and outwork the room, because you want to, not because anyone asks - Love distributed systems and hard logic problems, and chase the root of things - Turn research and theory into production-grade product - Are endlessly curious and pragmatic, and obsessed with making AI truly useful - Want ownership and the pressure that comes with it, in a fast-paced early-stage team ## WHY JOIN US - Challenge: A genuinely hard intellectual and systems problem - Cutting edge: Turning the latest research into a product used at scale - Mission: Building the infrastructure for the next generation of work - Impact: Shape the company and architecture from day one - Ownership: Competitive salary plus meaningful early equity - Culture: Deep-tech mindset, transparency, radical candor and fast execution ## PROCESS 1. Get to know each other · 30 min 2. Chat with co-founder(s) · 30 min 3. Technical interview · 1h 4. Take-home case · 3h 5. Case discussion · 1h 6. Offer ## PRACTICAL INFO - Location: Berlin - Start date: ASAP - Type: Full-time for 3-6 months ## About Qontext ## Core Business - **Primary industry**: AI infrastructure / knowledge management for enterprises - **Target customers**: B2B – engineering, customer service, operations, RevOps, sales, and marketing teams that use AI agents internally - **Mission**: Provide the independent context layer that every serious AI stack will run on, turning fragmented company knowledge into a governed, continuously evolving company state. ## Products & Services - **Qontext Context Repository (SaaS)**: A centralized platform where companies store structured files, folders, skills, and references. Features include context enrichments, continuous updates, change reviews, user permissions, access controls, retrieval logs, and version history. Exposed via MCP (Model Context Protocol), CLI, and API. Integrates with tools like n8n, Make, and Confluence. - **Integrations & Connectors**: Verified nodes/apps for n8n and Make, Confluence connector, and MCP support for any MCP-compatible AI client (e.g., Cursor, ChatGPT, Decagon). ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding – $2.7M (pre-seed round led by HV Capital, February 2026) - **Notable Investors/Partners**: HV Capital (lead); angel investors include Bastian Nominacher (co-founder Celonis), Jan Oberhauser (founder n8n), Wade Foster (co-founder Zapier), Philipp Heltewig (co-founder Cognigy), Emil Eifrem (co-founder Neo4j), and others. Partnerships with Make, n8n, Atlassian (Confluence), and {Tech: Europe}. - **Growth Signals**: Headcount of 7 employees with +14.3% monthly growth; ISO 27001 certified (June 2026); GDPR compliant; active in community events (AI Council SF, Big Hack Berlin); integrations with major automation platforms. ## Competitive Advantages - **Independent context layer** – no vendor lock-in; works with any AI tool that supports MCP. - **Governance and security** – ISO 27001 certified and GDPR by design. - **Continuous, permission-aware updates** – context stays fresh and access-controlled. - **Built for AI-native companies** – designed from the ground up for agents, not retrofitted. - **Strong founder/advisor network** – backed by experienced founders from Celonis, n8n, Zapier, Neo4j, etc. ## Strategic Focus - Become the default context repository for AI agents across all business functions. - Expand integrations with more AI clients, automation platforms, and enterprise tools. - Scale the engineering team and product to support larger deployments. - Maintain independence and openness (MCP, no lock-in) while building a horizontal infrastructure layer. ## Why Work Here - **Culture**: “Aim for excellence,” “own real problems,” “be direct, respect people,” “move with urgency” – early-stage startup where everyone drives end-to-end outcomes. - **Team**: Small (7 people), highly technical (50% engineering), with founders who have deep AI/data infrastructure experience. Office in Berlin, with some remote flexibility (hybrid likely). - **Perks**: Work on core AI infrastructure used by leading companies; backed by top-tier investors and angel advisors; open roles include Backend Engineer, AI/ML Engineer, Product Engineer, Software Engineering Intern, and Founder’s Associate Intern. - **Growth**: High ownership and impact from day one; monthly headcount growth of 14% signals rapid scaling. ## Sources 1. [qontext.ai](https://qontext.ai/) 2. [qontext.ai/about](https://qontext.ai/about) 3. [qontext.ai/careers](https://qontext.ai/careers) 4. [jobs.ashbyhq.com/qontext](https://jobs.ashbyhq.com/qontext) 5. 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