AI Engineer - API & Integrations Team

The API & Integrations team addresses particular challenges at Factorial. We sit at the intersection between product and platform. We own product surface while we also design developer experiences for internal and external developers of integrations.

• We build tools for Factorial product teams to publish in our extensive public API.
• We build an integrations framework to achieve the best user experience and developer experience when using integrations. Several factorial products are already using this framework. And we keep expanding it.
• We enable our developer partners to extend Factorial and live the best developer experience. With the acquisition of YepCode, we will be boosting how we build integrations, placing AI at the center of the process.

Our mission is not only to unblock markets that rely on a fragmented market of different external software (payroll software solutions, ERPs, cloud-based identity services, etc.), but also to lower the barrier so that anybody (even HR managers) is able to create new integrations.

What You'll Do

As a Product AI Engineer at Factorial, you'll help define and build the next generation of our AI-native product using modern AI development practices.

You will:

• Build product using Spec Driven Development We define clear specifications before shipping - including expected behaviours, constraints, and success criteria - and use them to guide implementation, iteration and evaluation using most powerful LLMs.

• Design and implement AI Skills Create reusable, well-scoped AI capabilities that can automate and take actions safely within Factorial's workflows, and also when building integrations

• Develop and maintain evaluation frameworks (Evals) Measure quality, correctness and reliability of AI outputs using automated and human-in-the-loop evaluations to ensure continuous improvement in production.

• Apply Retrieval-Augmented Generation (RAG) Build systems that ground AI responses in trusted, up-to-date company data, balancing probabilistic models with deterministic sources of truth.

• Design human-in-the-loop and agentic workflows Combine LLMs, rules, and user oversight to automate real business processes while keeping humans in control of critical decisions.

• Own systems end-to-end From problem definition and system design to shipping, monitoring and iteration in production.

• Stay close to our customers We have a strong customer-centric mindset: engineers regularly join customer calls, reviews, and feedback sessions to deeply understand real workflows, pain points, and constraints - ensuring we build the right solutions to real problems, not assumptions.

• Collaborate closely with Product and Design Shape how AI is embedded into core user experiences - not as a feature, but as part of the workflow.

• Share knowledge and raise the bar Mentor peers, document learnings, and contribute to Factorial's AI engineering best practices.

Who This Is For

Your title matters less than your mindset.

You might be mid, senior, or staff. What we care about is:

• AI as a habit: you've built real AI-powered systems or workflows (not just experiments)
• Proven impact: shipped projects, side projects, or contributions that made a measurable difference
• Product-first thinking: you design complete experiences, not just isolated components
• Speed & adaptability: you experiment, learn, and iterate fast

Do you have experience in Cloud computing?, * Solid software engineering fundamentals (any language - backend, frontend, ML)

• Experience shipping real products to production
• Knowledge of APIs, cloud platforms, and system design
• A fast learning curve with new tools and technologies

We care about people and we also offer a lot of benefits for employees:

• High growth, multicultural and friendly environment
• Alan as private health insurance
• Healthy life with Wellhub (Gyms, pools, outdoor classes)
• Save expenses with Cobee
• Language classes
• Breakfast in the office and organic fruit
• Nora discounts
• Free caffeine and theine
• Pet Friendly