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CLAR AI

Converts conversations into executable workflows

Forward Deployed Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeMunich, Germany

About the Job

Requirements

  • Strong software engineering foundations and the ability to write clean, production-ready code.
  • Ability to build full-stack web applications using technologies such as React, TypeScript, Node.js, or Python.
  • Understanding of foundation models and combining model capabilities with retrieval, voice AI, multi-agent architectures, and external tools.
  • Ability to communicate with technical and business counterparts in German and English.
  • Comfort with occasional travel to customers.
  • Ability to work effectively with ambiguity, messy customer data, and problems without a defined roadmap.
  • Strong sense of product aesthetics and craftsmanship.

Responsibilities

  • Immerse in customers’ operations and collaborate with operators, executives, and others to 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.
  • Manage go-live processes, including CI/CD pipelines and runtime monitoring.
  • Ship quickly, iterate based on user feedback and telemetry, and ensure deployed agentic systems deliver measurable value.
  • Maintain uptime, latency, reliability, user experience, and accuracy in live environments.
  • Identify recurring technical patterns across deployments and help productize them.
  • Influence system design standards and the evolution of internal frameworks, product roadmap, and technical direction.

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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