---
title: '(Applied) AI Engineer at Qontext'
canonical: 'https://feeny.ai/job/applied-ai-engineer-qontext-berlin-qhdr4fgd9wdp'
type: 'job'
last_seen: '2026-09-06'
---

# (Applied) AI Engineer 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/2ff1c32d-6575-4da7-b511-923ae93ab678

## 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.

## THE OPPORTUNITY

You'll design and scale the backend that powers a company's brain, the logic that lets AI reason over live company knowledge instead of static data.

You'll own the architecture behind sync and retrieval: turning unstructured information from every data source into a structured, versioned, queryable context repository. Your work defines how AI systems across our customers' organizations reach relevant, up-to-date, permission-aware context in real time.

We're already live with 15+ design partners and launching v1 in Q3 2026. This is the rare moment where the product, the architecture, and the category are still yours to shape. We think of Qontext as a once-in-a-lifetime opportunity, and we hire people who feel the same.

## WHAT YOU’LL DO

- Design and implement the core backend logic of the context repository
- Build and optimize the sync, turning raw data source data into structured, graph-based context
- Develop high-performance retrieval and ranking, combining hybrid search, rule-based logic, and identity resolution
- Productize complex logic through clean APIs and modular components (MCP, CLI, API, etc.)
- Build evaluation and experimentation frameworks that continuously raise contextual accuracy

## YOU’LL THRIVE HERE IF YOU…

- Love distributed systems and high-complexity logic problems
- Are fluent in TypeScript or Python and have an eye for clean, scalable architecture
- Turn research and theory into production-grade product
- Have a bias for ownership and thrive in fast-paced, early-stage environments
- Are endlessly curious and pragmatic, and care about making AI truly useful

## 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
- Compensation: €65k - €100k + equity package

## 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. [linkedin.com/company/qontext-ai](https://www.linkedin.com/company/qontext-ai)

## Other roles at Qontext

- [Backend Engineer](https://feeny.ai/job/backend-engineer-qontext-berlin-1qgt1s8ga2am) — Berlin, Germany
- [Software Engineering Intern](https://feeny.ai/job/software-engineering-intern-qontext-berlin-p0r7qh4qdm7s) — Berlin, Germany
- [Product Engineer](https://feeny.ai/job/product-engineer-qontext-berlin-dax380zk0erd) — Berlin, Germany
- [Unsolicited Application](https://feeny.ai/job/unsolicited-application-qontext-berlin-83stqxr7w4sn) — Berlin, Germany
- [Founders Associate (Intern)](https://feeny.ai/job/founders-associate-intern-qontext-berlin-ae9gratfrqgs) — Berlin, Germany