Forward Deployed Engineer

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

Zusammenfassung

Merantix is seeking an AI Deployment Engineer in Berlin to own the last mile of Unum deployments. You will work directly with customers, building integrations and deployment logic so that Unum becomes trusted and valuable in production environments.

You will turn messy enterprise realities into working software, shaping workflows with users and contributing to core platform capabilities, with a focus on adoption and impact.

Qualifikationen

• 2+ years of professional experience in software, product engineering, applied AI or forward deployed engineering.
• Proficiency in Python and experience with TypeScript, cloud infrastructure, integrations, and Terraform.
• Experience with LLM APIs and turning model capabilities into workflows, not just demos.
• Strong customer proximity and ability to work close to users and constraints.
• Excellent product judgement and execution in messy environments.
• Founder mindset with ownership and that ability to create structure.

Aufgaben

• Own the last mile: deploy Unum end-to-end inside customer environments, making it usable, trusted and valuable in production.
• Build integrations, templates, and deployment logic around actual customer systems and users.
• Translate customer pain into reusable product patterns and core platform enhancements.
• Develop high-impact applications, connectors, and agentic workflows across prototype, deployment, and monitoring.
• Drive adoption by working with users and stakeholders to ensure value is delivered.
• Design how AI agents surface findings, request feedback, and trigger approvals in enterprise workflows.

Kenntnisse

Python

TypeScript

Cloud infrastructure

Terraform

LLM APIs

Customer-facing

Full-stack

Jobbeschreibung

Your mission is to own the last mile of enterprise AI deployment for our 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 escalated when they get stuck. You will help define what governed autonomy looks like in real enterprise workflows.

WHY YOU

• Experience: 2+ 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 to 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.