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Senior AI Engineer

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Onsite

Senior AI Engineer

Backlight

Senior AI Engineer

Skills

Google Cloud PlatformDeep LearningFlaskPythonPyTorchTensorFlowMachine LearningAIAWSNLP / Natural Language ProcessingFastAPIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Stockholm, Sweden

Work mode:

Onsite

Published on:

19 August 2026

What they need


The Mission Backlight is a global media technology company dedicated to improving the entire video content lifecycle, from creation to monetization. Our suite of SaaS solutions empowers creative teams at every stage of production.

As our Senior AI Engineer, Multimodal Systems, you will architect and build the next generation of AI-powered features by integrating computer vision, speech processing, and natural language understanding. You’ll transform raw data into intelligent, low-latency systems that define the future of video content.

Responsibilities

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

Requirements We're looking for someone who can hit the ground running and make an immediate impact.

  • Master's or Ph.D. in Computer Science, AI, or a related quantitative field.
  • 3+ years of hands-on experience developing and deploying production AI/ML systems.
  • Expertise in Python, including ML frameworks (TensorFlow, PyTorch) and web frameworks (Flask, FastAPI).
  • Deep understanding of deep learning architectures (Transformers, CNNs, RNNs).
  • Solid grasp of NLP concepts, embedding techniques, and vector search.
  • Proven experience deploying ML models in major cloud environments (AWS, GCP, Azure).

Bonus points

  • Experience with LLM tools, vector databases, signal processing, MLOps, or distributed computing.

Work Arrangement Location: Stockholm, Sweden

Time zone: CET

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