Senior AI Engineer

Deeploi; Germany (OH); On-site; USD 102,762 - 171,271; Full time

Benefits offered by this job

VSOP

Public transport ticket

Corporate Benefits

Well-equipped offices

Job summary

Deeploi is hiring in Germany for a senior role focused on designing and delivering LLM-powered AI agents that automate support workflows across Zendesk, Intercom, and internal systems.

The role emphasizes prompt engineering, tool use design, and MLOps infrastructure, with a production-focused track record in ML or software engineering. Excellent English is required; German is a plus.

Qualifications

• 6+ years of experience in software or ML engineering.
• Proven track record deploying LLM/GenAI in production.
• Experience building AI systems for workflow automation or decision support.
• Hands-on with LLM architecture: tool calling, memory, guardrails.
• Strong Python and/or TypeScript/JavaScript skills.
• Excellent English (C1); German a plus.

Responsibilities

• Design and build LLM-powered AI agents for support workflows across Zendesk, Intercom, and internal systems.
• Develop agents that understand requests, plan next steps, retrieve context, take action, and escalate when needed.
• Own prompt engineering, tool-use design, and evaluation frameworks for reliability.
• Build and maintain the MLOps infrastructure behind it (model serving, CI/CD, monitoring).
• Track impact with KPIs like resolution time, first-touch resolution, and automation rate.
• Integrate systems with TypeScript/Python stack and internal APIs/knowledge bases.

Skills

LLM Engineering

Python

TypeScript/JavaScript

MLOps

Agent design

Tool calling

RAG

Memory/Context management

Software architecture

Production deployment

Tools

CI/CD

Git

Docker

Kubernetes

Job description

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.