ARE YOU READY?Build AI-powered capabilities directly into our core product and customer workflows
Work as part of cross-functional product squads from discovery through production
Turn complex customer problems into practical applications of AI and machine learning
Prototype rapidly, validate with real users and productionize what creates measurable value
Build with LLMs, RAG, agents, machine learning and other emerging AI technologies where they genuinely improve the product
Leverage proprietary ecosystem data to create intelligent recommendations, predictions and decision support
Design reliable, observable and scalable AI systems rather than isolated demos
Help create reusable AI capabilities that can be leveraged across multiple product domains
Shape how Applied AI becomes a core part of Intact's product engineering discipline
ARE YOU THE ONE?Degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related field, or equivalent practical experience
3+ years of experience building machine learning, AI or data-driven software products
Strong software engineering skills, ideally in Python and modern cloud environments
Hands-on experience taking AI/ML capabilities from prototype to production
Experience with modern LLM application development, including areas such as RAG, tool use, agents, evaluation and structured outputs
Strong understanding of ML fundamentals and when traditional machine learning is preferable to generative AI
Experience integrating models and AI services into real software products through APIs and production infrastructure
Comfortable working with imperfect data, ambiguous problems and rapidly evolving technology
Product-minded engineer who starts with the problem, not the model
Pragmatic builder who enjoys turning ideas into working software quickly
Curious about new AI capabilities without chasing technology for its own sake
Comfortable working directly with Product, Design, Engineering and customers
Strong communicator who can explain technical trade-offs clearly
High ownership, low ego and comfortable making decisions under uncertainty
Fluent in English, German and additional languages are a plus
Nice to have: Experience with with vector databases, embeddings, knowledge graphs or semantic; with AI evaluation, observability, guardrails and production monitoring; recommendation, prediction, classification or decision-support systems; with Azure and modern data platforms; and in B2B SaaS or highly regulated industries
Responsibilities
ARE YOU READY?Build AI-powered capabilities directly into our core product and customer workflows
Work as part of cross-functional product squads from discovery through production
Turn complex customer problems into practical applications of AI and machine learning
Prototype rapidly, validate with real users and productionize what creates measurable value
Build with LLMs, RAG, agents, machine learning and other emerging AI technologies where they genuinely improve the product
Leverage proprietary ecosystem data to create intelligent recommendations, predictions and decision support
Design reliable, observable and scalable AI systems rather than isolated demos
Help create reusable AI capabilities that can be leveraged across multiple product domains
Shape how Applied AI becomes a core part of Intact's product engineering discipline
ARE YOU THE ONE?Degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related field, or equivalent practical experience
3+ years of experience building machine learning, AI or data-driven software products
Strong software engineering skills, ideally in Python and modern cloud environments
Hands-on experience taking AI/ML capabilities from prototype to production
Experience with modern LLM application development, including areas such as RAG, tool use, agents, evaluation and structured outputs
Strong understanding of ML fundamentals and when traditional machine learning is preferable to generative AI
Experience integrating models and AI services into real software products through APIs and production infrastructure
Comfortable working with imperfect data, ambiguous problems and rapidly evolving technology
Product-minded engineer who starts with the problem, not the model
Pragmatic builder who enjoys turning ideas into working software quickly
Curious about new AI capabilities without chasing technology for its own sake
Comfortable working directly with Product, Design, Engineering and customers
Strong communicator who can explain technical trade-offs clearly
High ownership, low ego and comfortable making decisions under uncertainty
Fluent in English, German and additional languages are a plus
Nice to have: Experience with with vector databases, embeddings, knowledge graphs or semantic; with AI evaluation, observability, guardrails and production monitoring; recommendation, prediction, classification or decision-support systems; with Azure and modern data platforms; and in B2B SaaS or highly regulated industries
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