Jobs at Langdock

Build production-grade AI agents, workflows, applications, and integrations for enterprise customers. Lead technical discovery, design solutions, manage proofs of concept and rollouts, measure business impact, create reusable implementation patterns, support partners, and communicate customer needs internally. The role requires hands-on experience with LLM APIs, agent systems, retrieval, tool use, workflow automation, data privacy, security, identity, and integration architecture, plus fluency in German and English.

Twelve-month, fully onsite AI Associate program in Berlin focused primarily on resolving customer support tickets involving LLM behavior, APIs, integrations, enterprise compliance, billing, and access control. The role investigates technical issues, explains AI concepts clearly, escalates bugs, supports customer adoption, and takes on cross-team projects such as workshops, documentation, sales calls, and internal AI tooling. Strong performers may transition to a permanent business-team role.

Build and own AI-powered GTM systems that generate qualified pipeline, connect CRM and product signals, automate sales workflows, support partnerships and expansion, and improve seller productivity. The role involves integrating APIs and data sources, testing AI outputs, running commercial experiments, measuring impact, and documenting reliable workflows. It is an in-office builder role in Berlin focused on turning ambiguous commercial problems into practical automation solutions.

As a Product Engineer, you'll design, build, and ship features end-to-end while staying close to users to ensure product effectiveness. You will work across different product areas and utilize a variety of technologies including TypeScript, React, and Node.js.

Own full sales cycle for enterprise AI platform, run technical discovery and solution scoping, present to executives, build technical credibility with IT and engineering stakeholders, develop go-to-market strategies, and drive revenue while coordinating with customer success and product teams.

The Design Engineer role involves creating UI solutions end-to-end in code, likely using React and Next.js, while ensuring high design standards and collaborating closely with product and engineering teams.

Build and operate core platform services (model gateway, durable agent runtime, execution sandbox, integrations) as productized internal APIs. Design service boundaries, plan migrations, implement, deploy, observe, and own long-term reliability and incident response for backend systems running on Kubernetes and multi-cloud infrastructure.

Design and build robust production systems across distributed execution, storage, secure compute, inference, and scheduling. Solve correctness, performance, reliability, and cost tradeoffs; operate what you build; measure workloads, identify bottlenecks, and deliver measurable improvements in multi-cloud Kubernetes environments.

Deploy, operate, and scale the Langdock enterprise AI platform across customer cloud environments. Own end-to-end deployments using infrastructure-as-code, run deployment operations and on-call support, build CI/CD and monitoring (e.g., Datadog), translate customer compliance and networking requirements into infrastructure, and drive platform standardization and automation. Serve as primary technical contact for customers, including C-level stakeholders.

As an Enterprise Account Manager, you will manage enterprise accounts, drive AI adoption, build relationships, and strategize customer expansion and retention. You will also work cross-functionally and utilize automation tools to enhance your performance.