Client-Facing AI Solutions Engineer

Predli AB

Stockholms kommun

On-site

SEK 700,000 - 900,000

Full time

14 days+

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Job summary

Predli AB is seeking a Forward Deployed Engineer to help shape the future of Predli and applied AI. You will work closely with clients to translate their AI ambitions into production-ready systems that deliver real business value.

This role sits at the intersection of engineering, product, and operations. You'll move between client environments and our product, designing scalable AI solutions, APIs, and data pipelines, and contributing to Predli Studio.

Qualifications

  • Hold a degree in Machine Learning, Computer Science, Data Science, or a related field with a solid understanding of core ML principles.

Responsibilities

  • Design and build AI solutions that create real business value by applying pre-trained models in new and practical ways, especially within language models.
  • Build and extend features in Predli Studio that enable teams to use AI in their daily work.
  • Develop scalable APIs, backend services, and data pipelines for production AI systems.
  • Work with cloud infrastructure (AWS, GCP, Azure) and container technologies such as Docker and Kubernetes.
  • Collaborate with clients and non-technical stakeholders to turn ideas into working solutions.
  • Explore new AI tools and frameworks through internal projects and bring the most useful ones into production.
  • Participate in knowledge sharing and code reviews to strengthen how we build as a team.

Skills

Python
TypeScript
ML concepts
Data pipelines
APIs
Databases
Team collaboration

Education

Bachelor's or higher in ML/CS/DS

Tools

Docker
Kubernetes
AWS
GCP
Azure

Job description

Predli AB is seeking a Forward Deployed Engineer to help shape the future of Predli and applied AI. You will work closely with clients to translate their AI ambitions into production-ready systems that deliver real business value.

This role sits at the intersection of engineering, product, and operations. You'll move between client environments and our product, designing scalable AI solutions, APIs, and data pipelines, and contributing to Predli Studio.

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