AI Engineer (m/f/d)

Alasco GmbH; München; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

VSOP program

Hybrid: 2 days in Munich office

Learning & development budget

28 vacation days

Navit/Wellpass €40/mo

Company events

Zusammenfassung

Alasco GmbH in Munich is seeking a Senior Product & Engineering professional to help build an agentic AI platform for real estate. You’ll shape autonomous workflows, forecast budgets, and oversee end-to-end development from idea to observability.

You’ll work across dashboards, reporting, valuations, and planning, with a strong emphasis on LLM infrastructure, data engineering, and reliable AI systems. Fluent German and English are required, with hybrid work (2 days in Munich, 3 days remote).

Qualifikationen

• Experience building software used by real users.
• Strong understanding of agent architectures and prompt design.
• Ability to prepare unstructured data and optimize context windows.
• Comfort debugging and reviewing code in an existing codebase.
• Familiarity with AI coding tools and clear handoff practices.
• Fluency in German and English.

Aufgaben

• Own agentic workflows end to end and build autonomous systems.
• Establish eval-driven development with ground-truth sets to measure reliability and catch regressions.
• Collaborate across AI product areas: dashboards, reporting, valuations, and planning.
• Handle LLM ops and observability with tracing and monitoring to catch hallucinations.
• Talk to customers and internal stakeholders to inform better decisions.
• Name trade-offs openly on time, cost, UX, or quality.

Kenntnisse

TypeScript

Python

LLM infrastructure

Context/data engineering

Debug/refactor code

German & English

Tools

Langfuse

Jobbeschreibung

Munich | Hybrid (3 days remote) | Full-time Product and Engineering | 90.000–120.000€

The Role

We're turning Alasco into the leading agentic AI platform for real estate. Picture a project developer opening their dashboard and seeing at a glance whether their budget will hold in three months, because an autonomous agent in the background is running complex forecasts and flagging anomalies. You build that moment.

From the first idea to the metric that tells you whether it worked. You build the AI core features of our financial management product: orchestrating agent harness systems, writing evals that keep our models reliable in a finance-critical domain.

You own the full lifecycle: from rapid prototyping through context engineering to Observability.

What you'll do

• Own agentic workflows end to end: you build autonomous systems that take on complex tasks.
• Establish eval-driven development: you build evaluation frameworks and ground-truth sets that make agent reliability measurable and catch regressions before they reach production.
• Work across our AI product areas: dashboards, reporting, valuations, and planning within financial management, depending on what the team is prioritizing.
• Handle LLM ops and observability: you implement tracing (e.g. Langfuse) and monitoring to catch hallucinations and scale reliability.
• Talk to customers: whenever a direct conversation leads to a better decision, whether with customers or internal stakeholders.
• Name trade-offs directly: on time, cost, UX, or quality, you say it out loud instead of staying quiet.

What you bring

• Real product software experience: you've built software that actual users rely on, ideally with TypeScript and Python.
• A deep understanding of LLM infrastructure: you've worked with agent architectures and systematic prompt design.
• Expertise in context and data engineering: you know how to prepare unstructured data and use context windows efficiently, cutting noise and maximizing relevance.
• Confidence in an existing codebase: you debug, refactor, and review your own code and other people's without hesitation.
• A deliberate approach to AI coding tools: you use them regularly and can explain what you hand off to the tool and what you check yourself.
• Fluent German and English: you communicate confidently in both languages day to Day.

Why Alasco

• Your success pays off: with our VSOP, you share in Alasco's long-term success. When we grow together, you win too.
• Hybrid working model: 2 days in our Munich office, 3 days remote.
• Invest in your strongest asset, yourself: €2,000 learning and development budget per year plus three L&D days. Whether you're refining your prompt design or picking up something new, you decide.
• AI is part of the craft here, not the roadmap: you work with tools that give you back real time for the work that matters.
• Time that's yours alone: 28 vacation days a year, so you can switch off between ambitious goals.
• Your day, your allowance: €40 a month for Navit or Wellpass, for the ride to the office or a workout after hours.
• We celebrate wins together: Alascians come together at company and team events. Not because it's on the calendar, but because strong teams share more than numbers.

About Alasco

Real estate is one of the world’s largest, most capital-intensive - and least digitized - industries. We’re changing that. Alasco is building the leading AI Platform for Real Estate, purpose-built for an era in which AI fundamentally reshapes how decisions are made.

If you want to work where technological possibility has a direct seat at the decision-making table, this is your place.

We deliver impact to several hundred customers already today - making investment and construction decisions measurably better for our customers. And we’re just getting started.

We welcome applications from all people. Regardless of gender, origin, religion, age, sexual orientation, or disability.

Hiring process

• Intro Call with Recruiting
• Hiring Manager Interview
• On-site Interview (including a task)
• Meet one of the Co-CEOs