Job Title

Preventai is a fast-growing Swedish AI company transforming how surveillance infrastructure is used in retail. Our platform connects to existing camera systems and applies advanced Video Language Models (VLMs) to detect incidents and generate real-time alerts. We work with some of Sweden’s largest grocery chains and are expanding our team to support increasingly complex networked environments.About the Role We are looking for an experienced ( at least 2-4 years of experience ) Machine Learning / Computer Vision Engineer to build and deploy real-time AI systems focused on video analytics. You will work on developing, optimizing, and deploying tracking, action recognition, and VLM-based models in production environments. Strong problem-solving skills and a deep understanding of scalable inference pipelines are essential.Responsibilities Develop, optimize, and deploy Computer Vision, Tracking, Action Recognition, and VLM models to production. Build and manage real-time video pipelines usingRTSPandFFmpegfor multi-stream handling. Deploy AI inference services onGCP / Cloud / local serverinfrastructure with auto-scaling and GPU acceleration. Build scalable inference services usingFlask / FastAPI, Docker, and REST APIs. Work withCUDA , GPU optimization,TensorRT/ONNXfor real-time model performance. Implement model optimization techniques (quantization, pruning, batching, async pipelines). Build robustmulti-threaded / multi-process systemsfor high-throughput streaming. Debug and profile performance bottlenecks across model, networking, and system layers. Collaborate across research and engineering teams to deliver production-ready solutions.Required Skills Strong programming skills inPython . Hands-on experience withmodel deploymentin real-time applications. Expertise inRTSP streaming pipelines(decoding, multi-camera ingest, latency optimization). Strong experience withFFmpegfor real-time video manipulation. Cloud deployment experience withGCP(firestore / Cloud Run / GPU instances / Storage). Strong knowledge ofCUDA , GPU acceleration, memory optimization. Experience building APIs usingFlask / FastAPI , and creating robustREST APIservices. Proficiency withDockerand container-based deployments. Strongdebugging, profiling, performance optimizationexperience. Experience withmultithreading / multiprocessing . Experience working withtracking models, action recognition models, or VLMs .Nice to Have Experience withTensorRT, ONNX Runtime, Triton Inference Server, TorchServe. Real-time video streaming technologies (RTSP,HLS, WebRTC). CI/CD automation and DevOps best practices.What We Offer Work in a high-impact role within a Swedish funded AI company Direct influence on how cutting-edge AI systems are deployed across real-world infrastructures Access to a highly technical team with expertise in AI, computer vision, and systems engineering Competitive compensation and benefits Remote-first setup with occasional on-site fieldwork Opportunity to define and scale infrastructure practices from the ground upHow to Apply Please apply through LinkedIn, and please contact us at Preventai through LinkedIn in case you have any questions.