Senior Applied AI Engineer– Agentic Systems (m/f/x)

Beroe x nnamu GmbH; München; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

4-Day Work Week

Up to 24 Days Paid Vacation

Competitive Compensation

Flexible Work Arrangements

Team Events

Work Abroad Flexibility

Job summary

Beroe X nnamu GmbH in Germany seeks a senior software engineer to architect and own production-grade AI systems, including multi-agent components, retrieval-augmented generation, and memory/evaluation frameworks. You will push reliability and cost efficiency while delivering scalable backend services.

The role requires 7+ years of software experience, deep Python expertise, and hands-on work shipping AI in production with LLMs, RAG, and tool calls.

Qualifications

• 7+ years of software engineering experience.
• Strong proficiency in Python.
• Experience building and operating AI systems in production.
• Experience with LLM applications, RAG, tool calling, and multi-step workflows.
• Strong debugging and reliability focus.

Responsibilities

• Own platform capabilities end-to-end.
• Design resilient distributed systems.
• Build scalable backend services and APIs.
• Improve reliability, performance, and cost efficiency.
• Raise engineering standards and mentor other engineers.

Skills

Python

Distributed systems

AI in production

LLM/RAG

Tool calls

Debugging

Software fundamentals

Tools

LangGraph

LlamaIndex

Vector databases

Knowledge graphs

AI observability

Job description

Your tasks

The One- Line Vision:
We're looking for engineers who have taken AI systems from working demos to production systems that real users depend on.
If you've only wired prompts together and called it AI engineering, this isn't your role.
If you've fought hallucinations in production, built evaluation frameworks, debugged agent failures, and care deeply about reliability, cost, and customer impact, keep reading.
Why Max:

MAX is an AI-native, always-on decision engine for enterprise procurement. It is the missing layer between intelligence and execution, combining millions of live market signals, customer spend, contract and supplier data, Beroe's market intelligence, and codified procurement methodologies. MAX continuously senses, reasons, and surfaces the decisions that need attention, moving procurement from reacting to anticipating, from episodic to continuous, and from information overload to decision intelligence.

Why Now: The platform is already live and in the hands of customers. The next generation of capabilities is largely unbuilt, and you will help define it.

What you will build:

• Production-grade multi-agent systems.
• Large-scale Retrieval-Augmented Generation (RAG) systems.
• AI memory, evaluation, and observability frameworks.
• Recommendation engines and autonomous monitoring agents.
• Explainable decision intelligence and enterprise knowledge systems.

Problems you will tackle:

• Multi-agent orchestration and long-running workflows
• Multi-agent orchestration and long-running workflows
• AI memory, evaluation, and observability frameworks.
• AI memory, evaluation, and observability frameworks.
• Explainable decision intelligence and enterprise knowledge systems.

Responsibilities

• Own platform capabilities end-to-end.
• Design resilient distributed systems.
• Build scalable backend services and APIs.
• Improve reliability, performance, and cost efficiency.
• Raise engineering standards and mentor other engineers.

Your profile

What are we looking for:

• 7+ years of software engineering experience.
• Strong software engineering fundamentals and deep proficiency in Python.
• Experience building and operating AI systems in production.
• Experience with LLM applications, RAG, tool calling, and multi-step workflows.
• Experience evaluating AI quality and strong debugging skills.

Strong Plus:

• Modern AI orchestration frameworks (LangGraph, LlamaIndex, or similar).
• Vector databases and knowledge graphs.
• AI observability platforms.
• Large enterprise datasets and event-driven architectures.

Hiring Philosophy

• We care more about systems you've built than frameworks you've used.
• We value ownership, pragmatism, and engineering excellence.

The Role is probably Not for you if:

• Your experience is primarily demos and hackathons.
• You've never operated systems in production.
• You over-index on prompt engineering.
• You prefer experimentation over ownership and delivery.

Why us?

At Beroe X nnamu GmbH, we prioritize a balanced work-life experience. Here’s what we offer you:

• 4-Day Work Week & up to 24 Days Paid Vacation – More time to recharge
• Competitive Compensation – Fair salary and comprehensive benefits.
• Flexible Work Arrangements – Work the way that suits you. Professional Development – Access to training and certifications.
• Team Events – Bi-annual company events and quarterly lunch get-togethers.
• Work Abroad Flexibility – Remote work from the EU or selected non-EU countries for up to 8 weeks a year with travel insurance coverage

We operate on a hybrid model with offices in Berlin and Munich, offering a 32-hour, 4-day workweek. This means:

• In-Office Collaboration: Work from the office two days a week
• Manage Your Own Hours: Flexibility to work around your needs as long as team goals are met.

Our Culture: We are committed to fostering a collaborative, innovative and inclusive work environment where everyone’s ideas matter.We know that diverse teams lead to better outcomes and welcome applicants from all backgrounds.