Full-Time
Product Engineer
Full Stack
Posted on 9/17/2025
Langdock
11-50 employees
Model-agnostic enterprise AI platform
Compensation Overview
€90k - €140k/yr
Berlin, Germany
In Person
 Software Engineering (1) |
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- 2–3+ years of proven experience in a full stack engineering role, building production applications
- Strong frontend development skills with JavaScript/TypeScript, React (preferably Next.js), and Tailwind CSS
- Solid backend development experience with Node.js and API design
- Comfortable working with databases, particularly PostgreSQL, and understanding data modeling concepts
- API integration experience with REST APIs and modern patterns like tRPC
- Fluent English communication skills for technical discussions and collaboration within the team
- Candidates with a stronger background in either frontend or backend are welcome, but you should be comfortable working across the full stack.
- Contribute to the development of product features across our AI platform, from technical design to user-facing implementation
- Build end-to-end solutions spanning frontend (Next.js), backend (Node.js), and database layers
- Collaborate with our design team and customers to gather insights, feedback, and iterate on product features
- Implement user interfaces, including full screens, reusable components, and user flows
- Maintain and optimize our codebase for performance and user experience
- Take over "Support Engineer" rotations, in which all members from the engineering team regularly shift their focus on supporting our customers and the customer support team
- Hands-on experience with Language Models and AI/ML integrations (OpenAI, Anthropic, Google, etc.)
- Enterprise software development experience with security and compliance considerations
- Experience with Redis for caching and session management
- Vector databases and semantic search implementation
- A strong sense for user experience (UX) and experience working with design systems
Langdock is an enterprise AI platform that helps organizations securely deploy generative AI across their workforce. It is model-agnostic, giving access to multiple providers (OpenAI, Anthropic, Google, Meta) to avoid vendor lock-in, and it emphasizes security with GDPR, ISO 27001, SOC 2 Type II, and EU data hosting. The platform includes an employee chat interface, customizable AI assistants, enterprise search, and a unified API, with workflows that integrate with tools like Slack, Google Drive, and Confluence. Its goal is to help knowledge workers use AI tools productively while maintaining data security and regulatory compliance.
Company Size
11-50
Company Stage
Seed
Total Funding
$3.1M
Headquarters
Berlin, Germany
Founded
2023
Simplify's Take
What believers are saying
- Preconfigured AI agents expand beyond chat to HR, sales, contract analysis task automation.
- Custom deployment for 1,000+ seat enterprises enables scalable cloud or on-premise implementations.
- Platform analytics track adoption, model usage, and governance controls for data-driven optimization.
What critics are saying
- Dust and competitors deliver end-to-end workflow automation; Langdock limited to internal Q&A.
- OpenAI ChatGPT Enterprise erodes core chat market with superior security and lower per-seat costs.
- Anthropic and Google release integrated platforms with multi-LLM switching, commoditizing Langdock's layer.
What makes Langdock unique
- Model-agnostic platform prevents vendor lock-in across 30+ LLMs from OpenAI, Anthropic, Mistral.
- GDPR-compliant with ISO 27001, SOC 2 Type II, EU data hosting for regulated enterprises.
- Native integrations with Slack, Google Drive, Microsoft 365, Notion enable seamless workflow embedding.
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Benefits
Remote Work Options
Hybrid Work Options
Flexible Work Hours
Paid Vacation
Paid Holidays
Health Insurance
Dental Insurance
Vision Insurance
Wellness Program
Mental Health Support
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↑ 8%2 year growth
↑ 11%Langdock, a Germany-based platform provider for businesses to utilize large language models (LLMs) while maintaining data control, has secured $3 million in seed funding. The round was led by General Catalyst and La Famiglia, with participation from over 25 angel investors, Y Combinator, and notable figures like Rolf Schrömgens and Hanno Renner. The funds will support Langdock's operational and growth initiatives under CEO Lennard Schmidt.
A German AI startup backed by General Catalyst is considering opening a US office, its first overseas office.Founded in 2023, Langdock has an office in Berlin but its executives are spending a considerable amount of time in New York and San Francisco.Lennard Schmidt, Langdock CEO and co-founder, says the US is “more dynamic when it comes to AI than Europe”.He said: “I think for us it’s still on the table if we move to the US.”Schmidt said that should the startup open an office in the US, it would retain its Berlin office.Schmidt also pointed out that Germany was behind the US and UK in commercialising AI research.He said: “In Germany we have these very established institutions around doing deep research, what we do lack is the commercial aspect of taking that research and commercialising some of it.“I feel the UK is in a better position right now, but also Paris, given their ties to the big American companies that have research facilities there.”Germany has some well-known AI companies, such as Helsing, Aleph Alpha and Black Forest Labs.Langdock is looking to capitalise on the fervour around ChatGPT and other LLMs while addressing employer concerns around data sharing and compliance when introducing AI chatbots into the workforce.Langdock has built what is essentially a model agnostic chatbot, which sits between the LLM and a business, that it says employers can roll out centrally, securely, and compliantly to its employees, saying it gives businesses “peace of mind”.Its tech, is says, basically addresses concerns a business might have when introducing ChatGPT, Claude or Gemini into the workforce.Schmidt, who along with his co-founders Jonas Beisswenger and Tobias Kemkes, attended Berlin startup university CODE, says: “We take away all the concerns about what happens to the data because we have essentially all the compliance in place for that in terms of contract work and providers we work with.”One potential benefit of Langdock, whose $3m seed fundraise last year was also backed by La Famiglia and Y Combinator, is that its clients, which include US pharma giant Merck and payment startup Mondu, are not tied to using one LLM for life, but can chop and change as they see fit.While it is relatively easy for individual users to swap models, it is harder for enterprises given compliance and regulatory challenges.Merck, for instance, uses Langdock as its AI base layer, which Merck calls MyGPT (with the Merck chatbot looking very similar to ChatGPT), which is rolled out to around 23,000 employees, about 45 per cent of its workforce.Langdock, which has 15 employees, has European and US clients, but Schmidt points out European firms have more regulatory and data concerns than US firms, given the relative tightness of the rules, along with concerns about data sharing
Langdock, the platform empowering companies to leverage large language models (LLMs) while staying in control of their data, has raised a $3 million seed round led by General Catalyst alongside La Famiglia.
Plenty of large corporations want to join the AI revolution, but many feel it’s too early to be locked into one foundational model. That means there’s a market for a layer between companies and Large Language Models (LLMs) — something companies can use to pick LLMs easily without needing to commit for all time to one platform.That’s the market Langdock is targeting with its chat interface that sits between LLMs and a company. Based out of Germany, the startup has recently raised a $3 million seed round led by General Catalyst, and its European seed-stage partner, La Famiglia.“Companies don’t want to have a vendor lock-in on just one of those LLM providers,” Lennard Schmidt, co-founder and CEO of Langdock, told TechCrunch. “So we’ve kind of abstracted that away in an interface that allows a company to choose which of the underlying models from different vendors can be used by employees.”Langdock’s chat interface lets companies tap foundational models, open source models, or host their own models and make that accessible, Schmidt said.The funding round also saw participation from Y Combinator and some noted German founders, including Rolf Schrömgens (Trivago), Hanno Renner (Personio), Johannes Reck (GetYourGuide), and Erik Muttersbach (Forto), along with around 25 other angel investors.In particular, there is a European play here: Langdock is “going heavy” into the idea that companies in the EU will want to safely and securely integrate LLMs in a manner that’s compliant with regulation.That means employees can operate in a slightly more closed environment, enabling them to create, for instance, prompt libraries, use more than one LLM, and add sensitive documents.In addition to the chat interface, the company also offers security, cloud and on-premises solutions.Langdock claims to have a number of customers including Merck, GetYourGuide, HeyJobs, and Forto. Merck has rolled out the startup’s interface to its 63,000 employees. Walid Mehanna, chief data and AI officer at Merck, said in a statement: “We are early adopters of GenAI and see a paradigm shift in how technology can enable our employees to become more effective and efficient in their daily work life.”Langdock is not the only company to tackle this space.Dust, based out of Paris, has raised €5 million to date and is backed by Sequoia