Full Stack AI Engineer

Merantix; Berlin; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Unum, born from ML6, is building the core of an Enterprise Superintelligence platform in Berlin. You will contribute to the core stack across data, models, and UX, shipping end-to-end features that empower enterprises with governed autonomous agents and production-grade workflows.

We seek engineers with at least 1 year of shipping experience, strong Python skills, and experience with full-stack development (TypeScript, Terraform). A cloud/infrastructure mindset is essential for this role.

Qualifikationen

• 1 year of professional software/product engineering experience with end-to-end shipping.
• Proficiency in Python and building full stack apps; familiarity with TypeScript and Terraform.
• Experience building LLM-powered workflows using common LLM APIs.
• Engineering mindset: question why something exists and how it fits the grand vision.

Aufgaben

• Engineering Excellence: build high impact applications for Unum’s platform.
• Impact-Driven Development: identify needs and deliver solutions end-to-end.
• Thoughtful Design: translate AI capabilities into trustworthy experiences.
• Agentic Interaction: design how AI findings are presented and feedback requested.

Kenntnisse

Python

TypeScript

Terraform

LLM APIs

Cloud

Tools

Full stack applications

Jobbeschreibung

Your mission is to build the core of Unum - our Enterprise Superintelligence platform. Born out of ML6, Unum is the operational brain for the modern enterprise. It moves organizations past basic AI chatbots by deploying governed autonomous agents that safely integrate with enterprise data, execute complex workflows, and handle real-world operations in production. From adoption-focused user experiences to the core platform infrastructure, you’ll build across every layer of the stack. Are you ready to build the brain of the modern enterprise?

YOUR IMPACT

• Engineering Excellence: Build high impact applications and tools that accelerate Unum’s solutions. You’ll apply AI models in novel ways to solve real world customer and internal workflow problems.

• Impact-Driven Development: Identify real needs and build technical solutions around them. You work across the full lifecycle: prototype, iterate, ship and maintain and stay close to the problem you're solving.

• Thoughtful Design: Translate AI capabilities into clean, trustworthy experiences. Think carefully about how what you build is used – by end users, by colleagues, or by other systems.

• Agentic Interaction: Design how AI agents present their findings and ask for feedback.

WHY YOU

• Experience: min. 1 year of professional experience in software/product engineering with a proven track record of shipping end-to-end products (being a former founder or early engineer at a start up who built a product from scratch is a big plus!).

• Tech Stack: Proficiency in Python and in building full stack applications (experience with TypeScript and Terraform). Familiarity with cloud and infrastructure.

• AI Native: Experienced in building LLM powered workflows using common LLM APIs

• Engineering Mindset: You don't just "build what's on the ticket." You think about why something needs to exist, who it serves, and how it fits into the broader Unum vision.

WHY ML6

Less talking, more doing. Join us and push the boundaries of AI.

• Driving seat: Whether you want to grow further in your role or expand scope and responsibilities at one point, we shape the path together and provide support to accelerate your career in our fast evolving environment.

• Value driven innovation: Our work is guided by a commitment to Do Good and Excellence in Delivery. You’ll work on challenging, diverse projects where your passion for technology creates a real-world impact.

• Transparent rewarding: We offer an attractive, optimized total package. Your salary depends on your expertise and impact. This expertise will be translated to a level and scope group on our salary grid and will be defined during the hiring process. Check out our Reward Philosophy to read more.