JOB DETAILS
Senior AI Engineer
Companydeeploi - This is IT
LocationMunich
Work ModeOn Site
PostedJuly 17, 2026

About The Company
deeploi is an all-in-one IT management platform. We combine automation with personal expert support so your team can stop spending time on routine IT.
We’re a team of 50+ people (and 4 office dogs) working from Berlin and Munich, driven by startup ambition, humor and team spirit.
With deeploi, companies get a full IT department in one platform: onboarding, offboarding, device management, cybersecurity, SaaS management, compliance, and unlimited IT support.
What that looks like in practice:
→ Onboard new hires in under 5 minutes
→ Order, configure, and ship devices in a few clicks
→ Fully secured, encrypted, and GDPR-compliant laptops from the very start
→ Track every device, user, and license in one real-time dashboard
→ Offboard leavers cleanly: accounts, data transfers, license recovery
→ Unlimited IT support with a 12-minute average response time
We are trusted by 200+ companies across Europe. Startups, agencies, consultancies, and scaling SMBs from 30 to 500+ employees.
4.8/5 ⭐ on OMR Reviews
99% customer satisfaction
17,000+ users managed
20+ years of IT experience
ISO 27001 certified | GDPR compliant
🧑💻 Whether you want to hand off your IT or work at deeploi, we would love to hear from you:
→ deeploi.io/kontakt-deeploi
→ deeploi.io/about-us
About the Role
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 escalate 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 like 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.
About us
Make millions of people work better every day.We seek bright brains to join the IT revolution and build Europe’s #1 IT Operating System.
deeploi was founded in 2023 and is backed by leading European investors including Atomico and Cherry Ventures to rethink how IT is done.
IT as a Service – not as a struggle: We are building an all-in-one IT platform, combined with premium support. From user on- and offboarding, to service and support, cybersecurity and device management – deeploi covers the entire scope of a company´s IT department.
Key Skills
LLMGenAIAgentic AI SystemsMLOpsPythonTypeScriptRAGPrompt EngineeringTool CallingModel ServingCI/CDEvaluation Frameworks
Categories
SoftwareTechnologyEngineeringData & Analytics
Benefits
Virtual Share Package (VSOP)Public Transport TicketUrban Sports ClubEGYMCorporate Benefits
Job Information
📋Core Responsibilities
Design and build LLM-powered AI agents to automate support workflows across various platforms and internal systems. Develop and maintain the underlying MLOps infrastructure, including model serving, monitoring, and evaluation frameworks.
📋Job Type
permanent employee
📊Experience Level
5-10
💼Company Size
49
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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