Applied AI Engineer – Real-Time AI Search (Hybrid)

Vespa.ai; Trondheim; Hybrid; NOK 850,000 - 1,200,000; Full time

Benefits offered by this job

Relocation assistance

Norwegian language training

Competitive salary and benefits

Job summary

Vespa.ai seeks an Applied AI Engineer to advance AI-driven search at scale. You will evaluate models, integrate relevant ones with Vespa, build reference apps and demonstrations, and push platform improvements for AI workloads.

You’ll collaborate with the engineering team and customers to understand real-world use cases. Based in our Trondheim office, you’ll be on-site mostly with flexibility to work from home as agreed.

Qualifications

• 3+ years of professional software development experience.
• Strong programming skills in Python and Java, or one of them with willingness to work in the other.
• Solid practical understanding of modern AI/ML: embeddings, transformer models, LLMs, retrieval and ranking, and how to evaluate them.
• Experience running ML inference in production systems.
• Ability to explain technical concepts clearly to engineers and technical decision-makers.
• Good understanding of sound software engineering principles and practices.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Fluent written and spoken English. Norwegian is not required.

Responsibilities

• Track developments in embedding models, rerankers, LLMs, retrieval techniques and AI frameworks, and assess their relevance for Vespa and its users.
• Design and build integrations between Vespa and current models and frameworks (ONNX, Hugging Face, LLM APIs, agent frameworks).
• Build and maintain reference applications, benchmarks and demonstrations showing how to solve AI-driven problems with Vespa.
• Propose and prototype improvements to Vespa that make it more capable for AI workloads.
• Work with users and customers to understand how they combine Vespa and AI, and advise on effective approaches.
• Contribute technical content — sample apps, blog posts, documentation — based on this work.

Skills

Python

Java

ML knowledge

English proficiency

ML in production

Tools

ONNX

Hugging Face

LangChain/LlamaIndex

PyTorch

Vespa

Job description

Vespa.ai seeks an Applied AI Engineer to advance AI-driven search at scale. You will evaluate models, integrate relevant ones with Vespa, build reference apps and demonstrations, and push platform improvements for AI workloads.

You’ll collaborate with the engineering team and customers to understand real-world use cases. Based in our Trondheim office, you’ll be on-site mostly with flexibility to work from home as agreed.