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Piano Software Norway Drammensveien 165, 0277 Oslo Om jobben Lagre favoritt Stillingstittel AI Engineer Type ansettel...

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Selected role

ML/AI Engineer

DeepOcean Oslo, N03, NO

$433k Senior Full-time

Piano Software Norway

Drammensveien 165, 0277 Oslo

Om jobben

Lagre favoritt

Stillingstittel

AI Engineer

Type ansettelse

Fast, heltid 100%

Antall stillinger

Arbeidsspråk

Engelsk

Vis flere detaljer

About Piano

Piano helps the world’s leading digital businesses grow revenue by understanding and influencing customer behavior. Our platform unifies analytics, audience segmentation, and commercial personalization in one AI-driven system, enabling media companies and digital services to maximize the value of every user interaction. Headquartered in Amsterdam with offices across the Americas, Europe, and Asia-Pacific, Piano serves hundreds of global brands including the BBC, Deutsche Telekom, Nikkei, and the Wall Street Journal.

At Piano, engineers and data scientists tackle complex technical challenges at scale, from globally distributed systems and real-time machine learning models to production LLM applications that are transforming how our customers work. We embrace a culture of innovation, collaboration, and craftsmanship where you’ll solve meaningful problems that impact millions of users worldwide.

The Role

We're looking for an ML/AI Engineer who enjoys turning real-world data (behavioral and text data) into useful product solutions. You'll work with our Data Science team to prototype, evaluate, and ship ML/AI features across Piano's platform: from LLM-powered content understanding to personalization and intelligent customer workflows. This is not a single-product role, you will work across initiatives where large language models, machine learning, and intelligent automation create real value for our customers and internal teams, spanning the full lifecycle from prototyping to deployment and optimization in production.

You'll design and build production systems leveraging LLMs for classification, summarization, content understanding, and conversational AI, collaborating closely with backend and frontend teams to integrate AI into existing products. While the role is centered on applied AI engineering, we highly value experience with traditional ML as the day-to-day work blends LLM-based development with classical machine learning, and someone who moves fluidly between both worlds will thrive here.

Beyond the technical scope, we're hiring for how you think. The engineers who will do their best work are the ones who care about feeding AI systems the right information, validating what those systems produce, and optimizing for quality, cost and latency.

What You’ll Do

Build AI-powered features for tasks such as classification, summarization, content understanding, recommendations, and conversational interfaces across Piano’s product suite.

Collaborate with backend, frontend, product, and data science colleagues to integrate AI into existing products.

Help improve targeting and personalization logic by combining data science, machine learning, and product knowledge.

Help build evaluation methods so we can measure whether our AI systems are useful, accurate, and reliable.

Optimize LLM inference for cost, latency, and quality through context engineering, caching, model selection, and batching.

Operate retrieval-augmented generation (RAG) pipelines and optimize retrieval quality through experimentation with embeddings, chunking strategies, and ranking algorithms.

Deploy reliable and operate services in Kubernetes with support from existing infrastructure, CI/CD, monitoring, and platform practices.

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