Python Developers

About eizen.ai

At eizen.ai, we're revolutionizing how businesses leverage video intelligence and computer vision. Our enterprise-grade AI platform enables companies to build and deploy powerful visual intelligence applications without coding expertise—transforming operations across manufacturing, retail, healthcare, education, and more.

Our cutting-edge platform delivers:

• 99.8% accuracy

  in automated defect detection

• 5x faster throughput

  in manufacturing quality control

• Real-time video analytics

  with AI-powered insights

• No-code deployment

  of computer vision models

We're processing millions of video frames daily, powering intelligent visual inspection systems, real-time anomaly detection, and interactive AI agents that see, think, and act.

Founded:

Role: Python Developer (Backend AI/ML Systems)

Employment Type:

Location:

Department:

Reports To:

Experience Level:

The Opportunity

Python Developers

This is your chance to work on cutting-edge AI/ML infrastructure, build systems that process terabytes of video data, and see your code power intelligent automation across industries worldwide.

What makes this role exciting:

🧠 Work directly with ML engineers deploying computer vision models

⚡ Optimize performance for sub-second response times on video analytics

🌍 Impact Fortune 500 companies and transform how they operate

🔧 Own features end-to-end from design to production

Key Responsibilities

Backend Development (50%)

• Design, develop, and maintain scalable Python-based backend services and RESTful APIs
• Build microservices architecture for video processing, model inference, and data pipelines
• Develop asynchronous task processing systems using Celery, RabbitMQ, or Kafka
• Implement WebSocket connections for real-time video streaming and analytics
• Create efficient data processing pipelines for handling large-scale video datasets
• Write clean, maintainable, well-documented code following best practices
• Optimize API response times and system throughput for high-performance requirements

AI/ML Integration (25%)

• Collaborate with ML engineers to deploy computer vision models (YOLO, ResNet, custom CNNs) into production
• Build inference pipelines that integrate TensorFlow, PyTorch, and OpenCV models
• Develop video preprocessing and post-processing modules for AI workflows
• Implement model serving infrastructure using TensorFlow Serving, TorchServe, or ONNX Runtime
• Create annotation tools and data labeling systems for training AI models
• Build feedback loops for continuous model improvement based on production data

Database & Storage Management (15%)

• Design and optimize database schemas for PostgreSQL, MongoDB, or similar systems
• Implement efficient data storage strategies for video metadata and analytics results
• Work with cloud storage (AWS S3, Azure Blob, GCP Storage) for video asset management
• Build caching layers using Redis or Memcached for performance optimization
• Ensure data consistency, integrity, and security across distributed systems
• Optimize complex database queries and implement indexing strategies

DevOps & Infrastructure (10%)

• Deploy and manage applications using Docker containers and Kubernetes orchestration
• Implement CI/CD pipelines with GitHub Actions, GitLab CI, or Jenkins
• Monitor system performance using tools like Prometheus, Grafana, or New Relic
• Collaborate on cloud infrastructure management (AWS, GCP, or Azure)
• Ensure system reliability, scalability, and uptime through robust architecture
• Participate in on-call rotation for production support

Collaboration & Code Quality (10%)

• Participate in code reviews to maintain code quality and share knowledge
• Write comprehensive unit tests, integration tests, and documentation
• Work closely with frontend developers, ML engineers, and product managers
• Contribute to technical architecture decisions and system design discussions
• Mentor junior developers and contribute to team growth
• Stay updated with latest Python ecosystem, AI/ML tools, and best practices

Required Qualifications

Technical Skills

Python Expertise:

Backend Frameworks:

✅ API Development:

Databases:

Object-Oriented Programming:

Version Control:

Data Structures & Algorithms:

Linux/Unix:

Core Competencies

✅ Strong problem-solving and analytical thinking abilities

✅ Ability to write clean, efficient, and maintainable code

✅ Experience with software development lifecycle and agile methodologies

✅ Excellent debugging and troubleshooting skills

✅ Strong communication skills and ability to work in cross-functional teams

✅ Self-motivated with ability to work independently and take ownership

Education

✅ Bachelor's degree in Computer Science, Software Engineering, or related technical field

✅ Equivalent practical experience will be considered

Preferred Qualifications

AI/ML Experience:

Video Processing:

Real-Time Systems:

Async Programming:

Message Queues:

Containerization:

Cloud Platforms:

Performance Optimization:

Testing:

API Documentation:

Startup Experience:

Open Source:

Our Technology Stack

Backend:

• Python 3.9+
• FastAPI / Django REST Framework
• Celery for async task processing
• WebSocket for real-time communication

AI/ML:

• TensorFlow / PyTorch
• OpenCV for computer vision
• YOLO, ResNet, Custom CNNs
• ONNX Runtime for model serving

Databases & Storage:

• PostgreSQL (primary database)
• MongoDB (document storage)
• Redis (caching layer)
• AWS S3 / Azure Blob (video storage)

Infrastructure:

• Docker & Kubernetes
• AWS / GCP / Azure
• GitHub Actions (CI/CD)
• Nginx / Gunicorn

Tools & Monitoring:

• Git & GitHub
• Prometheus & Grafana
• Sentry for error tracking
• Postman / Swagger

Levels & Experience

We're hiring at multiple levels:

Python Developer (Mid-Level)

• Experience:

  2-4 years

• Focus:

  Feature development, API design, database optimization

• Skills:

  Strong Python, frameworks, databases, API development

Senior Python Developer

• Experience:

  4-6+ years

• Focus:

  System architecture, mentorship, technical leadership

• Skills:

  All of above + system design, performance optimization, team leadership

Interview Process

1. Application Review

   (2-3 days)

2. Phone Screening

   (30 mins) - HR and basic technical discussion

3. Technical Assessment

   (90 mins) - Coding challenge or take-home assignment

4. Technical Interview

   (60 mins) - System design and problem-solving with engineers

5. Culture Fit

   (30 mins) - Discussion with team lead or founder

6. Offer

   - Typically within 1 week of final interview

Timeline:

How to Apply

Ready to build the future of video intelligence?

Send us:

1. Resume/CV

   highlighting relevant Python and backend experience

2. GitHub Profile

   (if available) showcasing your code

3. Cover Letter

   (optional) explaining:

• Your most challenging Python project
• Why you're excited about AI and computer vision
• What you're looking to learn and build at eizen.ai

Apply via:

https://forms.office.com/r/y9JFDDEZqX

• Apply📧 Email:

  careers@eizen.ai

  (Subject: "Python Developer - [Your Name]")
• 💼 LinkedIn: [Company LinkedIn Page]
• 🌐 Website:

  eizen.ai/careers

Portfolio Bonus:

Why Join eizen.ai?

🎯 Mission-Driven:

🚀 Early-Stage Impact:

🧠 Learn from the Best:

💡 Innovation Culture:

📈 Growth Trajectory:

🌏 Real-World Impact:

• 🏆 Recognition:

  Meritocracy-based culture with clear growth paths and rewards