Senior AI Engineer (m/f/d) in B2B SaaS AI Startup

Traide GmbH; Berlin; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Berlin office

Lunch spots nearby

Job summary

traide AI, a Berlin-based AI startup, is seeking an AI Engineer focused on A/ML-Ops to bring AI-driven features from prototype to production at scale. You will collaborate with product and tech teams to design pipelines, CI/CD, and monitoring for LLM-based and agentic applications.

Join a collaborative team, embrace ambitious AI initiatives, and help build the AI DNA at traide AI in a fast-growing environment in Berlin.

Qualifications

• 5+ years in Data Science, ML, DL, MLOps, GenAI and AI-Agents; proven production deployments.
• Strong Software-Engineering or Data-Science background; BS in CS or related field.

Responsibilities

• Productionizing AI/ML systems from prototype to scalable production.
• Build CI/CD pipelines, deployment workflows, monitoring, and observability for AI/ML systems.
• Transform research insights into production-ready features.
• Ask probing questions to uncover root problems and drive practical solutions.
• Deliver robust, scalable, and user-friendly AI features.

Skills

Data Science & ML

MLOps & Generative AI

AI Deployment

Problem Solving

Team Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Python

PyTorch

CI/CD tooling

Job description

Our Mission

We are traide AI, an industry groundbreaking, VC-backed, B2B startup powered by AI (we did AI long before the hype).

Our exceptional revenue growth over the past years positions us at the brink of a significant expansion phase. We're building the definitive "global trade compliance intelligence platform" - going far beyond tariff classification to cover the full breadth of trade compliance, including tariff classification, export control classification, and much more, all fully powered by (artificial-) Intelligence. We're already transforming the landscape of international trade.

Our product, team, and vision have already convinced prestigious partners, and our customer base includes industry juggernauts, everyday industry heroes, alongside other notable figures in industry. We are rapidly solidifying our leadership position within the EU while eyeing global expansion.

AI is deeply embedded in the DNA of our company, reflected in the extensive AI expertise of our founders, the culture within our company and team, and our proven track record of developing and commercializing AI while delivering real business value with AI-centered features. This role aims to strengthen our AI DNA, enabling us to further execute our vision and mission.

Your tasks

As an AI Engineer, with focus on A/ML-Ops, you'll collaborate closely with our product and tech team to bring AI-driven features reliably into production and keep them running at scale. In this role, you'll engage in:

• Productionizing AI/ML systems: Take models and AI features from prototype to robust, scalable, well-monitored production systems - designing the pipelines, infrastructure, and tooling that make this possible.
• MLOps & Infrastructure: Build and maintain CI/CD pipelines, model deployment workflows, monitoring, and observability for AI/ML systems, including LLM-based and agentic applications.
• End-to-End Development: Transform research insights into production-ready features through careful planning, prototype development, quality assurance, and seamless integration of AI functionalities.
• Problem Solving & Innovation: With a curious and analytical mindset, you'll ask the deeper "why" questions to uncover root problems, explore creative solutions, and bring them to life.
• Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use.

While you'll take on significant responsibility, you're never alone. You can rely on a supportive team where knowledge-sharing and mutual growth are core values.

Who we're looking for

• Minimum of 5 years of professional experience in: Data-Sience, Machine learning, Deeplearning, MLOps Generative AI & AI-Agents. With a proven track record of developing and deploying AI-driven solutions in production environments. Focus is especially on bridge from prototype to bring it into production.
• Strong Software-Engineering OR Data-Science background. Have a Bachelor's degree in Computer Science, Software Engineering or comparable experience.
• Strong analytical, logical reasoning, skills with a creative approach to problem-solving.
• Willingness to learn new technologies, work within uncertainties and adapt to changing requirements.
• Communication skills, collaborative attitude and ability to work effectively within a diverse team.

Why us?

So, why choose traide AI?

On the product side

• Meetings and processes kept to a minimum and focus on getting things done (Kanban Style).
• We value clean and well-tested code and ship features only once they are up to standard
• Modern tech stack with the opportunity to shape future decisions: React + Chakra-UI, Node.js + GraphQL, Python + Pytorch, LLM/Generative AI and more

In the organization

traide AI is a place where you can be your authentic self!

We are creators, not rule followers. In our open culture, ideas take precedence over hierarchies, truth finding is essential

Our work culture is flexible and grounded entirely in trust and integrity, where everyone strives to grow & learn

And the cherry on top? Our offices are the coolest around - our cozy Berlin office is conveniently located at Rosenthaler Platz and offers fantastic lunch spots.

If you have any questions, just email us.

About us

We value diversity and are committed to creating an inclusive environment for all employees. If you're passionate about making a difference and eager to learn, we'd love to hear from you - even if you don't meet every requirement.

And one more thing: We're not just building an AI product, we're building an AI company. From how we think about processes to how we grow teams and shape our culture - AI is at the core of how we operate.

Application process: You will receive feedback within two weeks. The process includes interviews, a practical challenge, and conversations with our team.