Senior Product Engineer - AI/ML Full Stack

We're seeking an innovative and versatile Senior Product Engineer to join our team in developing cutting-edge, AI-enhanced mobile applications. The ideal candidate is a full-stack developer with a strong understanding of AI/ML technologies, capable of rapidly prototyping and implementing new ideas.

Responsibilities:

• Design, develop, and maintain full-stack applications with a focus on AI/ML integration
• Rapidly prototype new product ideas and features using the latest AI/ML technologies
• Collaborate with product managers, designers, and data scientists to turn concepts into reality
• Implement and optimize machine learning models for production environments
• Develop and maintain scalable, efficient, and reliable backend services
• Create responsive and intuitive front-end interfaces for web and mobile platforms
• Continuously research and evaluate new technologies and open-source projects for potential application
• Contribute to architectural decisions and help define best practices
• Participate in code reviews and mentor junior developers
• Troubleshoot, debug, and optimize application performance

Requirements:

• 5+ years of experience in full-stack development
• Strong proficiency in multiple programming languages (e.g., Python, JavaScript/TypeScript, Go)
• Experience with modern web frameworks (e.g., React, Vue.js, Angular) and mobile app development (React Native, Flutter, or native iOS/Android)
• Solid understanding of AI/ML concepts and experience implementing ML models in production
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
• Experience with database technologies (both SQL and NoSQL)
• Strong understanding of RESTful APIs and microservices architecture
• Proficiency in version control systems (e.g., Git) and CI/CD pipelines
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work in a collaborative environment

Bonus Qualifications:

• Experience with MLOps and ML model deployment in production environments
• Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Knowledge of natural language processing (NLP) and computer vision techniques
• Experience with real-time data processing and streaming technologies
• Contributions to open-source projects
• Experience with serverless architectures
• Understanding of DevOps practices and tools

How to Apply:

1. Submit your resume and links to relevant projects or GitHub profile
2. Send your application materials to [email protected]

We're excited to see your technical skills in action and your approach to integrating AI/ML into full-stack development!