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We are looking for an AI Research Engineer to join the PAIR team and play a central role in the design, development, experimentation, and production deployment of innovative AI-driven services (LLMs, autonomous agents, automation, NLP, analytics services, etc.). You will be involved in the entire project lifecycle, from ideation and prototyping to production deployment, while actively contributing to the applied research initiatives of the Security Lab. You will work closely with multidisciplinary teams to turn ambitious ideas into concrete, robust, and scalable AI solutions in an environment that encourages continuous innovation.
Job Responsibility:
End-to-End Ownership of AI Solutions: Design, develop, and maintain AI services from prototype to production
Ensure robustness, performance, scalability, and operational reliability of solutions in industrial settings
Rigorous Experimentation & Applied Research: Methodically test and benchmark AI models (standards, metrics, comparisons)
Document results and propose innovative solutions tailored to cybersecurity challenges
Innovation & Technology Watch: Maintain active and structured monitoring of advances in AI/ML, LLMs, agents, NLP, as well as DevOps and MLOps best practices
Anticipate technological developments and contribute to the technical roadmap
Technical Leadership, Documentation & Collaboration: Be a key contributor to technical quality, knowledge sharing, and internal communication
Produce clear documentation and provide technical support to teams
Requirements:
Applied AI research engineer with at least 3 years of experience in backend development or AI in production
Strong command of Go (microservices, REST/gRPC, high performance) and Python for AI/ML
Solid experience with cloud-native architectures: Docker, Kubernetes, CI/CD, observability, distributed systems, and real-time services
AI/ML/NLP skills: LLMs, embeddings, classification, text generation, model evaluation
Proven ability to design, optimize, and deploy scalable AI services in production
Scientific curiosity, autonomy, rigor, and strong teamwork skills
Excellent communication skills, documentation abilities, and the capacity to simplify complex topics
Professional fluency in English, both written and spoken
Nice to have:
Familiarity with MLOps is a plus
Experience in deploying AI prototypes is highly valued
What we offer:
Free space for innovation and independent action in a fast-growing international company
Short decision paths and flat hierarchies in an open work atmosphere
Extensive onboarding with a welcome kit, 2-day Onboarding Bootcamp, a Mentoring Program, and regular feedback meetings
Temporary Employee Exchange Program – we provide the ability for you to work at our global office locations and explore the world (e.g. Berlin, Madrid, Malta, Montréal)
Home-office-option (in a hybrid setting) and flexible working time
Team events like Laser Tag, Office Movie Nights, Foodie Fridays and much more
Fit Kit subscription and private insurance for your health
Referral Bonus – 1500€ for each successful referral