Senior AI Engineer

At GetWhy, we're on a mission to change the way brands understand people. We help the world's biggest brands get closer to their consumers—faster, smarter, and with a human touch - through breakthrough research powered by AI. Companies like Coca-Cola, Heineken, Unilever and more trust us to deliver consumer insights in hours, not weeks.

We are building an end-to-end AI-powered human insights platform, redefining the boundaries of qualitative research. To fuel our journey, we raised a $34.5M Series A investment from PeakSpan Capital in 2024, making it one of Denmark's largest Series A rounds to date.

What the AI team does

We are dedicated to delivering high-quality AI products leveraging the latest tools and techniques and to serve them across our core products in a scalable way. 

For this, we use classic machine learning for predictive models to deal with fraud detection, language classification, visual understanding and automating internal workflows. These make heavy use of video processing, speech-to-text and multilingual translations models and pipelines. 

We also build a lot of functionality around state of the art LLMs. We treat off-the-shelf LLMs as future commodities and aim to benefit from their strengths while employing principled methodologies to build guardrails and fallback strategies for their weaknesses. We strive to achieve a deep understanding of prompt engineering, context management, and LLM behavior quirks (e.g., hallucinations, non-determinism, context management), by focusing on evaluation and observability through monitoring for latency, accuracy, and usage.

Who you are

We're looking for a Senior AI Engineer to join our growing stellar AI team. You will be responsible for all stages in the machine learning lifecycles across projects, from designing and defining data annotation steps to model training, validation and deployment.

More specifically, you should have these minimum qualifications:

• At least 5+ years developing machine learning systems.
• Proficiency in Python, along with a solid understanding of data structures and algorithms, and the capability to write production-quality code. 
• Experience designing and implementing scalable and robust machine learning pipelines for real-world use cases using cloud services on top of cloud providers (AWS, GCP, Azure).
• Experience working with LLMs, Prompt Engineering and AI Agents.
• Exceptional English skills, both spoken and in writing.

Preferred qualifications:

• Experience using LLMs at scale.
• Know what happens under the hood, as well as experience with LLM evaluation, dealing with hallucinations, inconsistent outputs, context management, conversational AI and voice technologies, including text-to-speech.
• Proven experience making data-driven engineering decisions; formulating hypotheses, conducting experiments, and analyzing results.
  
  

What you will do

• Build AI-powered features at scale using the latest advancements in LLMs.
• Work closely with researchers, engineers, and product teams to define feature scope and implementation strategies.
• Mentor junior team members and engage in collaborative learning with peers to promote knowledge sharing.
• Maintain and support production services to ensure reliability and stability.
• Participating in technical design discussions and promoting engineering best practices.
• Writing clean, maintainable, and well-structured code to meet delivery goals.

What we offer

• A highly ambitious AI team driven by sky-is-the-limit long term vision and goals, while working to identify and deliver intermediate milestones.
• A full-time position with a competitive salary plus benefits.
• A flexible work schedule with opportunities to work from home.
• A vibrant and international work environment with 60+ colleagues from 15+ nationalities.
• A modern, newly renovated Nordhavnen office with stunning waterfront views, office lunch, relaxation areas, gym, free daily energizers, snacks, and drinks.
• A company culture that values innovation, collaboration, and transparency.
• Annual company retreats and Friday bar events – we work hard, we celebrate hard.

How do I apply?

Click on the apply button and upload your resumé or LinkedIn profile. If we see a potential match, we'll invite you for a conversation at our office to get to know you better and share more about our culture and this opportunity.

So, what are you waiting for? Hit the apply button and come join the next Danish unicorn.