New opportunities in Latin America!
🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects.
We invite a skilled AI Engineer to join our team in building GPU-accelerated video analytics for real-time safety monitoring across large fleets and industrial environments. In this role, you’ll help design and optimize pipelines that detect and track actionable safety events in high-volume video streams. You’ll work on real-world systems that make an impact, collaborating with engineering and product teams to deliver reliable, high-performance solutions.
🟩 What's in it for you:
- Collaborate with top engineers on an innovative, technically challenging computer vision project
- Build impactful systems that enhance safety across large fleets and industrial operations
- Gain hands-on experience with GPU-accelerated video analytics, temporal tracking, and real-time safety monitoring
✅ Is that you?
- 7+ years of software engineering experience with strong backend skills
- 3+ years of experience shipping computer vision solutions to production
- Strong Python proficiency
- Experience with OpenCV, PyTorch, async I/O frameworks, and API integrations
- Hands-on experience with YOLO/Ultralytics or similar object detection frameworks
- Experience detecting, labeling, and tracking objects in video
- Solid knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation
- Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning)
- Ability to communicate and collaborate effectively with engineering and product teams
- Upper-Intermediate+ English level
Desirable:
- Experience with Azure Event Hub, Blob Storage, Application Insights, or similar
- Familiarity with Docker, cloud deployments, and production monitoring systems
- Experience in temporal/sequence analysis for event detection
- Experience with video analytics in safety, compliance, or industrial/transportation environments
🧩Key responsibilities and your contribution
In this role, you’ll develop and maintain robust backend solutions that process video data and deliver actionable insights using pre-trained computer vision models.
- Develop and optimize GPU-accelerated video inference pipelines for real-time processing
- Implement, evaluate, and improve object detection models (YOLO or similar)
- Build temporal smoothing and tracking logic for safety event detection
- Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools
- Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services
- Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs
- Contribute to dataset curation, labeling, and model evaluation; fine-tuning/training as needed
- Support containerized deployments (Docker) and assist with monitoring and scaling production workload
Our next steps:
✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract
Interested? Find out more:
📋 How to Join Us
💻 LinkedIn Page
📈 Our website
💻 IG Page
By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data. I agree to have my Personal Data being stored and processed by Dev.Pro.
Skills Required
- 7+ years of software engineering experience with strong backend skills
- 3+ years of experience shipping computer vision solutions to production
- Strong Python proficiency
- Experience with OpenCV and PyTorch
- Experience with asynchronous I/O frameworks and API integrations
- Experience with YOLO, Ultralytics, or similar object detection frameworks
- Experience detecting, labeling, and tracking objects in video
- Knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation
- Experience optimizing GPU inference, including batching, stride, TensorRT, CUDA, quantization, and throughput tuning
- Ability to communicate and collaborate effectively with engineering and product teams
- Upper-Intermediate or higher English proficiency
- Experience with Azure Event Hub, Blob Storage, Application Insights, or similar services
- Familiarity with Docker, cloud deployments, and production monitoring systems
- Experience with temporal or sequence analysis for event detection
- Experience with video analytics in safety, compliance, or industrial or transportation environments
What We Do
Dev.Pro helps innovative technology companies scale their business by leveraging our software engineering expertise to support them every step of the way. It was founded by entrepreneurs and technologists, with the goal of helping technology-driven companies to develop their innovative software products and grow their businesses. True to our roots, we remain creative and nimble, tailoring our engagement with clients to meet their specific needs. Some come to us for our engineering expertise, some for the rapid delivery, and some for cost efficiency. But what truly sets us apart is the alliance we forge with our clients over time, aligning our success with theirs. None of this would be possible without the people who choose to grow their careers with us. If you're one of the candidates we're in touch with: Dev.Pro recruiters only ever contact candidates from @dev.pro email addresses. We will never ask you to open unfamiliar links, install software, or run code as part of our hiring process. If you receive a suspicious message claiming to be from Dev.Pro, please reach out to us directly at [email protected].
