At SwiftSight, we are driven by the belief in the transformative power of technology to create a safer, more efficient, and sustainable future for all. Using advanced AI and real-time 5D modeling, we deliver comprehensive data analytics to decision-makers across various industries. Our cutting-edge AURA system enables limitless applications that enhance safety, healthcare, autonomous navigation, space exploration, and more.
LOCATION
Remote
EMPLOYMENT TYPE
Full-time
Role Description
We are seeking an experienced Full Stack Engineer specializing in Computer Vision and AI to join our innovative team. The ideal candidate will bridge the gap between cutting-edge AI technologies and scalable web applications, with a focus on developing and deploying computer vision solutions.
Key Responsibilities
- Design and implement end-to-end computer vision applications using modern deep learning frameworks (PyTorch, TensorFlow)
- Develop and maintain scalable REST APIs and microservices for AI model deployment
- Build and optimize AI pipelines for real-time computer vision processing
- Implement blockchain solutions for secure data handling and model verification
- Create intuitive web interfaces for AI model interaction and visualization
- Deploy and maintain cloud-based AI solutions on platforms like AWS, GCP, or Azure
- Ensure high performance and reliability of vision-based systems
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
- 5+ years of experience in full stack development
- Strong proficiency in Python and its AI/ML ecosystem (NumPy, OpenCV, PyTorch/TensorFlow)
- Experience with modern web frameworks (FastAPI, Django, or Flask)
- Proven track record of implementing computer vision solutions in production
- Expertise in cloud services (AWS/GCP/Azure) and containerization (Docker, Kubernetes)
- Experience with distributed systems and microservices architecture
- Understanding of blockchain technology and smart contract development
Preferred Qualifications
- Experience with real-time video processing and streaming
- Knowledge of edge computing and model optimization
- Familiarity with MLOps practices and tools
- Experience with Web3 technologies and decentralized applications
- Background in advanced computer vision techniques (3D reconstruction, SLAM, object tracking
- Contributions to open-source AI/ML projects
Technical Skills
- Languages**: Python, JavaScript/TypeScript, Solidity
- AI/ML: PyTorch, TensorFlow, OpenCV, CUDA
- Web Development: React/Vue.js, FastAPI/Django, RESTful APIs
- Cloud: AWS (SageMaker, Lambda), GCP, or Azure
- DevOps: Docker, Kubernetes, CI/CD
- Blockchain: Ethereum, Smart Contracts, Web3 (Good to have)(Not Mandatory)
- Database: PostgreSQL, MongoDB, Redis
Compensation
Compensation for this position will be in the form of equity shares in the company until the company is adequately funded. The position would then transition to a paid position.
About SwiftSight PBC
At SwiftSight, we believe in the transformative power of technology to elevate humanity and redefine our interaction with the world. We pursue this mission because we are committed to creating a safer, more efficient, and sustainable future for all.
Harnessing advanced AI and real-time 5D modeling to provide comprehensive data analytics, we empower decision-makers across all industries and sectors. Our approach integrates the latest technologies with a relentless pursuit of excellence, ensuring that our solutions deliver actionable insights and predictive capabilities beyond traditional methods.
Through our cutting-edge AURA system, we deliver limitless applications that enhance every aspect of life. From improving safety and healthcare to advancing autonomous navigation and space exploration, SwiftSight is dedicated to empowering communities, protecting our environment, and advancing global security. We pave the way for a future where our collective potential knows no bounds.
Join the revolution in visual technology
- First name
- Last name
- Address
- Email
- Phone
- Position
LinkedIn
Cover Letter
- Are you legally authorized to work in the United States?
Yes
No
- Will you require sponsorship to work in the United States?
Yes
No
- Do you understand that the initial compensation for this position will be in the form of equity until the company is properly funded?
Yes
No
- Once the company is properly funded, what would be your preferred annual salary?
- Briefly describe your experience in Spatial Intelligence:
- Briefly describe your experience in Artificial Intelligence:
- What are you passionate about? If you could spend your life working on/doing one thing or group of things, what would it be?
What is your favorite book?
What is your favorite movie?