Forward Deployed Engineer

ML6; Berlin; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Merantix is seeking an AI Deployment Engineer to own the last mile of Unum deployments, connecting it to real systems and shaping workflows with users. You will serve as a technical owner embedded close to the customer, turning messy enterprise reality into working software and repeatable patterns.

You will build integrations and deployment logic, translate customer pain into reusable product patterns, and drive adoption with stakeholders.

Formación

• 3+ years of professional experience in software, product engineering, applied AI, or forward deployed engineering.
• Strong engineering fundamentals to build full-stack applications; proficiency in Python and TypeScript.
• Experience with cloud infrastructure, integrations, and Terraform.
• AI native: built with LLM APIs and turned model capabilities into workflows.
• Customer proximity: enjoy working close to users and turning constraints into usable systems.
• Product judgement: understand why features matter and impact adoption.
• Execution orientation: comfortable with messy environments and production constraints.

Responsabilidades

• Own the Last Mile: Own the technical outcome of Unum deployments end to end in real customer environments.
• Customer-Embedded Engineering: Build integrations, templates, and deployment logic around actual customer systems, constraints, and users.
• Platform Learning: Translate customer pain into reusable product patterns for the core platform.
• Technical Execution: Build high-impact applications, connectors, agentic workflows, and tools across prototype to deployment.
• Trust & Adoption: Work with users to earn trust, clarify success, and drive adoption.
• Agentic Workflows: Design AI agent workflows, find feedback, approvals, and safe-escape mechanisms.

Conocimientos

Python

TypeScript

Cloud infrastructure

Terraform

AI/ML deployment

Customer-facing

Product judgement

Ownership mindset

Herramientas

LLM APIs

Integrations

Descripción del empleo

Your mission is to own the last mile of enterprise AI deployment for our own platform Unum. Our Enterprise Superintelligence platform is built to transform how enterprises operate, but getting it to actually run inside complex organizations is what makes it real. As an AI Deployment Engineer, you own the last mile: taking Unum into complex customer environments, connecting it to real systems, shaping workflows with users, and making sure the platform creates measurable adoption and impact.

This is not a traditional software engineering role, and it is not a classic solutions engineering role either. You are a technical owner embedded close to the customer, responsible for turning messy enterprise reality into working software, repeatable patterns, and stronger platform capabilities.

YOUR IMPACT

• Own the Last Mile: Own the technical outcome of Unum deployments end to end. You will work directly with customers inside real customer environments, understand how work actually happens, and make Unum usable, trusted, and valuable in production.

• Customer-Embedded Engineering: Build integrations, templates, and deployment logic around actual customer systems, constraints, and users. You will operate where product, engineering, delivery, and customer reality meet.

• Platform Learning: Translate specific customer pain into reusable product patterns. You will identify what should stay custom, what should become a template, and what should become part of the core Unum platform.

• Technical Execution: Build high-impact applications, connectors, agentic workflows, and tools that help Unum deliver faster and more reliably. You will work across prototype, implementation, deployment, monitoring, and iteration.

• Trust & Adoption: Work directly with users and stakeholders to earn trust, clarify success, and drive adoption. You will not just ship features, but make sure they are used, understood, and delivering value.

• Agentic Workflows: Design how AI agents surface findings, request feedback, trigger approvals, and escape when they get stuck. You will help define what governed autonomy looks like in real enterprise workflows.

WHY YOU

• Experience: 3+ years of professional experience in software, product engineering, applied AI, or forward deployed engineering. Experience as a founder, early engineer, technical lead, or customer-facing builder is a strong plus.

• Technical Depth: Strong engineering fundamentals to build full-stack applications. Proficiency in Python and experience with TypeScript, cloud infrastructure, integrations, and Terraform

• AI Native: You have built with LLM APIs and understand how to turn model capabilities into useful workflows, not just demos.

• Customer Proximity: You enjoy working close to users, understanding their real constraints, and turning ambiguous problems into working systems.

• Product Judgement: You do not just build what is asked. You understand why something matters, how it affects adoption, and when to challenge the request.

• Execution Orientation: You are comfortable with messy environments, unclear requirements, legacy systems, stakeholder complexity, and production constraints. You make progress without needing a perfect brief.

• Founder Mindset: You take ownership, create structure where none exists, and care deeply about whether the solution actually works in the field.

WHY UNUM

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.

• Drive innovation from the center: Help us scale and evolve Unum, the core platform powering ML6’s next-generation AI capabilities.

• 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.