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Forward Deployment Engineer

Role overview

Qualifications

  • Several years of practical experience capturing customer requirements and translating them into production implementation plans
  • Hands-on production experience with LLM-based applications
  • Proven experience building and integrating APIs, webhooks, and common authentication patterns
  • German language proficiency at B2 level or above

Responsibilities

  • Serve as the technical bridge between product and customer setups, translating requirements into robust production implementations
  • Lead rollouts of AI assistant configurations, including workflows, logic, data flows, prompts, and guardrails
  • Implement integrations with third-party systems via APIs, webhooks, and common services
  • Build reusable templates, deployment playbooks, and best practices to make setups scalable and repeatable

Key facts

  • Remote from: Germany
  • Full time
  • DevOps Engineer
  • 60 - 90K yearly
  • German

Hard skills

Other skills

  • Problem Solving
  • Communication
  • Delivery Focused

About the company

Clera Inc. logo

Clera Inc.

Staffing & Recruiting

Clera is an AI talent agent that represents job candidates and connects them directly with hiring managers at venture-backed startups. The platform uses artificial intelligence to match professionals with suitable career opportunities and facilitates introductions via email, iMessage, and WhatsApp, bypassing traditional job application processes.

Company details

IndustryStaffing & Recruiting
Company size11-50

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Job description

About the Role

This is a technical role at the intersection of product and customer deployments for a fast-growing AI phone assistant platform serving small and medium-sized businesses. You will own end-to-end rollouts, from requirements capture through integrations, glue code, and monitoring, ensuring live customer setups run reliably in production. Your work directly shapes the feedback loop between real-world deployments and the product roadmap.

What You'll Do

  • Serve as the technical bridge between product and customer setups, translating requirements into robust production implementations.

  • Lead rollouts of AI assistant configurations, including workflows, logic, data flows, prompts, and guardrails.

  • Implement integrations with third-party systems via APIs, webhooks, and common services such as CRMs, calendars, ticketing, and payments.

  • Develop small-to-medium features and glue code to map customer use cases to production systems, including tests, monitoring, and logging.

  • Debug live issues across calls, flows, and data pipelines, and deploy rapid fixes under production conditions.

  • Build reusable templates, deployment playbooks, and best practices to make setups scalable and repeatable.

  • Surface product pain points, feature gaps, and recurring patterns with concrete recommendations to keep the feedback loop tight.

What We're Looking For

  • Several years of practical experience capturing customer requirements and translating them into production implementation plans.

  • Hands-on production experience with LLM-based applications, including prompting, tool use, RAG, evaluation, and failure modes.

  • Proven experience building and integrating APIs, webhooks, and common authentication patterns such as OAuth and API keys.

  • Strong coding ability to implement features and glue code, with solid testing, monitoring, and logging practices.

  • Familiarity with cloud deployment fundamentals and observability tooling for production debugging.

  • German language proficiency at B2 level or above.

  • Pragmatic, delivery-focused mindset with a bias toward shipping fast and iterating.

  • Bonus: experience with voice or telephony integrations, workflow automation tools, TypeScript or Python, SQL, or GDPR and data privacy considerations.

Compensation & Benefits

Salary range: 60,000 to 90,000 EUR annually. Visa sponsorship is not available for this role.

Location

Fully remote, based in Germany.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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