Senior AI/LLM Engineer

Your Role

As a founding Senior AI/LLM Engineer on our innovative Mission Control team, you will play a pivotal role in shaping the technical direction of our products. Your solutions will transform Staffbase customers into strategic storytellers and help measure impact of their communications. You will drive the development of scalable, robust AI-enabled systems that redefine customer’s experiences.

Our environment

• Working with skilled and similar-minded professionals in a team that values diversity and inclusivity.
• We aim to create a flexible and agile work environment that promotes the well-being and work-life balance of our employees.
• We believe that team events during working hours play a vital role in building an exceptionally effective team, and we encourage them.
• We are enthusiastic about technology and committed to using it to improve the world.
• We follow the "You build it, you run it" approach and take pride in it.

What you’ll be doing

• Build & Deploy AI Solutions : Build and maintain scalable, secure, and reliable AI/ML pipelines for processing large volumes of textual data. Work with orchestration tools (e.g., Dagster) to manage complex data workflows.
• Enhance & Optimize : Leverage APIs, vector databases, and prompt engineering to improve system performance and efficiency.
• Collaborate & Innovate : Work cross-functionally with product, design, and engineering teams to create user-centric, AI-driven solutions.
• Experiment & Learn : Run experiments, embrace fast failures, and iterate quickly for continuous product improvement.
• Mentor & Grow : Share knowledge, support team growth, and stay ahead of AI trends to drive innovation.

What you need to be successful

• 4+ years of experience in machine learning, NLP, recommendation systems, RAG, conversational agents or other AI-driven applications
• Experience working in a product team in a software development environment
• Proven experience leading ML projects, making strategic technical decisions, and mentoring engineers
• Experience building and deploying ML models in cloud environments, utilizing containerization and orchestration tools like Docker and Kubernetes
• Experience with MLOps best practices, model monitoring, and model versioning
• Good to have understanding of data engineering concepts and workflow
• Strong product-oriented thinking with a deep understanding of customer needs and domain-specific challenges.
• Strong programming and engineering skills, with the ability to design, build, and maintain scalable AI systems.
  
• Clear, effective communication skills, with the ability to translate complex AI concepts into practical, actionable solutions for cross-functional teams.
• Fluent in English, both written and spoken

What you'll get

• Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan).
• Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560.
• Growth Budget - all employees get a yearly budget for external training of €1000, and one day off for growth per year (increase to two days in 2nd year).
• Wellbeing - in addition to our yearly vacation of 31 days, we’re running a 4-day-work week every year in August with full payment.
• Benefits platform - Through the provider ThanksBen, all employees receive EUR 35 (tax-free) per month to spend on their well-being. This covers, for example, sports courses, massages and many retailers.
• Support - we’re offering a company pension scheme.
• Sports & Health - join our sport courses in the offices. The offices are equipped with fruits, drinks and snacks.
• Team Building - Regular team and office events including the yearly Staffbase Camp.
• Volunteers Day - you’ll get one day off per year for supporting a social project.
• Employee Referral Program - one of your friends is a fit to one of our full-time openings? Refer them and get a referral bonus paid.

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