AI Deployment Engineer

Join us to build the brain of the modern enterprise.

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 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.
• Build integrations, templates, and deployment logic around actual customer systems, constraints, and users. You will operate where product, engineering, delivery, and customer reality meet.
• 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.
• 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.
• 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.
• Design how AI agents surface findings, request feedback, trigger approvals, and escalate when they get stuck. You will help define what governed autonomy looks like in real enterprise workflows.

Why You

• 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.
• Strong engineering fundamentals, with proficiency in Python and experience building full-stack applications. Experience with TypeScript, cloud infrastructure, integrations, and Terraform is a plus.
• You have built with LLM APIs and understand how to turn model capabilities into useful workflows, not just demos.
• You enjoy working close to users, understanding their real constraints, and turning ambiguous problems into working systems.
• You do not just build what is asked. You understand why something matters, how it affects adoption, and when to challenge the request.
• You are comfortable with messy environments, unclear requirements, legacy systems, stakeholder complexity, and production constraints. You make progress without needing a perfect brief.
• 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.

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

About ML6

We guide the AI revolution towards positive impact.

We believe in using the full potential of artificial intelligence to spark innovation, increase efficiency, accelerate growth, and create lasting impact. Our mission is clear: ensure that the next wave of technological breakthroughs drives progress not just for businesses, but for humanity as a whole. We bring AI ambitions to life.