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CLAR AI

Converts conversations into executable workflows

Forward Deployed Engineer Intern

AI Application Engineering +1Confirmed live in the last 24 hours
InternshipMunich, GermanyNo salary listed

About the Job

Requirements

  • Writes clean code quickly and can build full-stack web applications; examples include React, TypeScript, and Node.js or Python.
  • Has built and shipped software beyond tutorial projects.
  • Is studying or has recently completed studies in computer science, information systems, engineering, or a related field, or is self-taught with a portfolio demonstrating ability.
  • Understands foundation models, retrieval, voice AI, multi-agent architectures, and external tools, and is interested in designing abstractions for reasoning, memory, and interaction.
  • Takes ownership, thinks in systems, focuses on outcomes, and can move from an initial sketch to deployment quickly while judging when to ship or polish.
  • Can work directly with customers and technical and business counterparts; German and English communication skills are specified.
  • Can work with ambiguity and messy customer data, break down complex problems, and progress without a fully defined roadmap.
  • Has a strong sense of product aesthetics and craftsmanship.
  • Is comfortable with occasional customer travel.

Responsibilities

  • Collaborate with customer personnel, from operators to executives, to understand operations, map workflows, and identify high-impact opportunities.
  • Translate unstructured business problems into robust, scalable AI agents; design architectures, define APIs, and implement full-stack solutions combining frontend interactivity with backend intelligence.
  • Own customer deployments end to end, including go-live, CI/CD pipelines, and runtime monitoring; ship quickly, iterate using user feedback and telemetry, and ensure agents deliver measurable value in live environments.
  • Identify recurring technical patterns across deployments and turn them into reusable building blocks that influence internal frameworks and products.

About the Company

CLAR AI

Converts conversations into executable workflows

CLAR AI automates enterprise workflows by turning everyday conversations into actions executed inside a company’s existing systems, including tasks like updating records and completing processes, through channels employees and customers already use (voice, email, WhatsApp, Teams). Its product uses agentic AI to understand a business context by modeling products, customers, processes, and rules, so the AI can act like an experienced colleague. A governance layer checks actions against standard operating procedures, enforces user roles, and allows human oversight when needed, ensuring consistent, compliant execution without a new user interface. The goal is to scale repetitive requests, improve data quality from conversations, and boost operational efficiency and customer satisfaction while staying within the current software stack.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Munich, Germany
Founded
2026

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