Senior AI Engineer

Deeploi

München

Vor Ort

EUR 90.000 - 130.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Public transport ticket
Urban Sports Club/EGYM
Corporate Benefits
VSOP

Zusammenfassung

Deeploi in München (Germany) seeks an experienced AI/ML Engineer to design and build LLM-powered agents automating support workflows across Zendesk, Intercom, and internal systems. You will own prompt engineering, tool-use design, and MLOps infrastructure to ensure production-quality agents with measurable impact.

Join a small, ambitious team in Berlin and Munich backed by top European VCs, with a competitive salary plus virtual share package (VSOP) and benefits like public transport tickets and

Qualifikationen

  • 6+ years of experience in Software or Machine Learning Engineering.
  • Proven track record deploying LLM/GenAI systems in production.
  • Experience designing AI systems for scale in automation or decision support.
  • Hands-on with LLM architecture: tool calling, RAG, orchestration, memory/context management, evaluation, guardrails.
  • Strong MLOps and production AI infrastructure (deployment, CI/CD, monitoring, incident handling).
  • Proficiency in Python and/or TypeScript/JavaScript.
  • Excellent English (C1); German is a plus.

Aufgaben

  • Design and build LLM-powered AI agents to automate support workflows across Zendesk, Intercom, and internal systems.
  • Develop agents that understand requests, plan next steps, retrieve relevant context, take action, and elevate to human agents when needed.
  • Own prompt engineering, tool-use design, and evaluation frameworks to ensure reliable, production-quality agent behavior.
  • Build and maintain the MLOps infrastructure behind it (model serving, CI/CD, monitoring, safe rollouts).
  • Track impact through KPIs such as resolution time, first-touch resolution, and automation rate.
  • Integrate these systems with our existing TypeScript/Python stack, internal APIs, and knowledge bases.
  • Work closely with Support, Product, and Engineering to identify the highest-impact automation opportunities.
  • Share what you learn with the team and help other engineers apply LLM-driven automation effectively.

Kenntnisse

6+ years experience
LLM/GenAI systems
AI workflow automation
Tool calling / RAG
MLOps in prod
Python / TypeScript
English (C1)
German (nice)

Jobbeschreibung

Your mission
  • Design and build LLM-powered AI agents that automate support workflows across Zendesk, Intercom, and internal systems.
  • Develop agents that understand requests, plan next steps, retrieve relevant context, take action, and elevate to human agents when needed.
  • Own prompt engineering, tool-use design, and evaluation frameworks to ensure reliable, production-quality agent behavior.
  • Build and maintain the MLOps infrastructure behind it (model serving, CI/CD, monitoring, safe rollouts).
  • Track impact through clear KPIs such as resolution time, first-touch resolution, and automation rate.
  • Integrate these systems with our existing TypeScript/Python stack, internal APIs, and knowledge bases.
  • Work closely with Support, Product, and Engineering to identify the highest-impact automation opportunities.
  • Share what you learn with the team and help other engineers apply LLM-driven automation effectively.

Your profile
  • 6+ years of experience in Software or Machine Learning Engineering.
  • Proven track record building and deploying LLM, GenAI, or agentic AI systems in production.
  • Experience designing AI systems that solve real business problems at scale — ideally in workflow automation, decision support, or autonomous task execution.
  • Hands-on expertise with LLM application architecture: tool calling, RAG, orchestration, memory/context management, evaluation, and guardrails.
  • Solid background in MLOps and production AI infrastructure (deployment, CI/CD, monitoring, evaluation, incident handling).
  • Proficiency in Python and/or TypeScript/JavaScript.
  • Excellent English (C1); German is a plus.

Why us?
  • High impact and ownership from day one — your work will directly shape deeploi's AI strategy.
  • A small, ambitious team in Berlin and Munich — backed by top European VCs including Atomico and Cherry Ventures.
  • Competitive salary + virtual share package (VSOP).
  • Benefits: public transport ticket or Urban Sports Club/EGYM, Corporate Benefits.
  • Well-equipped offices in Berlin and Munich.
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