Senior Multimodal AI Engineer - Real-Time Vision & Speech

Backlight; Stockholms kommun; On-site; SEK 1,000,000 - 1,600,000; Full time

Job summary

Backlight is seeking a Senior AI Engineer, Multimodal Systems in Stockholm to architect and deploy AI features across video content. You will integrate computer vision, speech processing, and NLP to deliver low-latency products used in production pipelines.

You will lead model development from research to deployment, mentor engineers, and collaborate with cross-functional teams to advance multimodal capabilities in a fast-growing media tech environment.

Qualifications

• Master's degree or PhD in CS/AI or related quantitative field.
• 3+ years hands-on experience developing and deploying production AI/ML systems.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch) and web frameworks (Flask, FastAPI).
• Deep learning architectures such as Transformers, CNNs and RNNs.
• Strong NLP, embeddings, and vector search fundamentals.
• Experience deploying ML models in AWS, GCP, or Azure.

Responsibilities

• Own the technical roadmap for multimodal AI initiatives.
• Design, develop, and deploy AI models from research to production.
• Build and optimize object detection for real-time video analysis.
• Develop ASR and TTS systems for audio-visual content.
• Create advanced semantic search for text data.
• Integrate AI systems into scalable pipelines and optimize performance.
• Mentor junior and mid-level engineers and foster innovation.

Skills

Python

TensorFlow

PyTorch

Flask

FastAPI

Transformers

CNNs

RNNs

NLP concepts

Vector search

Cloud deployment

MLOps

Education

Master's degree in Computer Science or AI

PhD in Computer Science or AI

Tools

AWS

GCP

Azure

Job description

Backlight is seeking a Senior AI Engineer, Multimodal Systems in Stockholm to architect and deploy AI features across video content. You will integrate computer vision, speech processing, and NLP to deliver low-latency products used in production pipelines.

You will lead model development from research to deployment, mentor engineers, and collaborate with cross-functional teams to advance multimodal capabilities in a fast-growing media tech environment.