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Improved Job Description: Python Developer (Backend AI/ML Systems) 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: 2022 | Headquarters: Hyderabad, India | Stage: High-Growth AI Startup
Role: Python Developer (Backend AI/ML Systems) Employment Type: Full-Time, On-Site
Location: Hyderabad, India
Department: Engineering
Reports To: Engineering Manager / CTO
Experience Level: 2-6 years
The Opportunity We're seeking talented Python Developers to build the backbone of our AI-powered video intelligence platform.

You'll architect and develop high-performance backend systems that process real-time video streams, deploy computer vision models at scale, and deliver actionable insights to enterprise clients.
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: Build scalable backend systems for real-time video processing
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, Rabbit MQ, or Kafka
Implement Web Socket 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, Res Net, custom CNNs) into production
Build inference pipelines that integrate Tensor Flow, Py Torch, and Open CV models
Develop video preprocessing and post-processing modules for AI workflows
Implement model serving infrastructure using Tensor Flow Serving, Torch Serve, 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 Postgre SQL, Mongo DB, 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
Dev Ops & Infrastructure (10%) Deploy and manage applications using Docker containers and Kubernetes orchestration
Implement CI/CD pipelines with Git Hub Actions, Git Lab 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: 2-6 years of hands-on Python development experience
✅ Backend Frameworks: Strong proficiency in Fast API , Django , or Flask
✅ API Development: Experience building and documenting RESTful APIs
✅ Databases: Working knowledge of SQL (Postgre SQL, My SQL) and No SQL (Mongo DB, Redis)
✅ Object-Oriented Programming: Strong OOP concepts and design patterns
✅ Version Control: Proficient with Git and collaborative development workflows
✅ Data Structures & Algorithms: Solid understanding of core CS fundamentals
✅ Linux/Unix: Comfortable working in Linux environments
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: Exposure to Tensor Flow, Py Torch, scikit-learn, or computer vision libraries (Open CV, Pillow)
Video Processing: Experience with FFmpeg, GStreamer, or video codec optimization
Real-Time Systems: Knowledge of Web RTC, video streaming protocols (RTSP, HLS, DASH)
Async Programming: Proficiency with async/await, asyncio, and concurrent programming
Message Queues: Experience with Rabbit MQ, Kafka, or AWS SQS
Containerization: Hands-on experience with Docker and Kubernetes
Cloud Platforms: AWS (EC2, Lambda, S3), GCP, or Azure experience
Performance Optimization: Experience profiling and optimizing Python applications
Testing: Strong unit testing practices with pytest, unittest, or similar frameworks
API Documentation: Experience with Swagger/Open API, Postman
Startup Experience: Previous experience in fast-paced startup environments
Open Source: Contributions to open-source Python projects
Our Technology Stack Backend:
Python 3.9+
Fast API / Django REST Framework
Celery for async task processing
Web Socket for real-time communication
AI/ML:
Tensor Flow / Py Torch
Open CV for computer vision
YOLO, Res Net, Custom CNNs
ONNX Runtime for model serving
Databases & Storage:
Postgre SQL (primary database)
Mongo DB (document storage)
Redis (caching layer)
AWS S3 / Azure Blob (video storage)
Infrastructure:
Docker & Kubernetes
AWS / GCP / Azure
Git Hub Actions (CI/CD)
Nginx / Gunicorn
Tools & Monitoring:
Git & Git Hub
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 Application Review (2-3 days)
Phone Screening (30 mins) - HR and basic technical discussion
Technical Assessment (90 mins) - Coding challenge or take-home assignment
Technical Interview (60 mins) - System design and problem-solving with engineers
Culture Fit (30 mins) - Discussion with team lead or founder
Offer - Typically within 1 week of final interview
Timeline: 7-10 business days from application to offer
How to Apply Ready to build the future of video intelligence?
Send us:
Resume/CV highlighting relevant Python and backend experience
Git Hub Profile (if available) showcasing your code
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:
JFDDEZq X
Apply Email: (Subject: Python Developer - (Your Name))
Linked In: (Company Linked In Page)
Website: eizen.ai/careers
Portfolio Bonus: Share links to personal projects, open-source contributions, or technical blog posts!
Why Join eizen.ai?

Mission-Driven: Transform industries through AI-powered visual intelligence
Early-Stage Impact: Join a growing team (30-50 employees) where your contributions matter
Learn from the Best: Work alongside Ph Ds and experts in computer vision and deep learning
Innovation Culture: Hackathons, research days, and freedom to experiment
Growth Trajectory: Be part of the journey from startup to industry leader
Real-World Impact: Your code will process millions of video frames daily for global enterprises
Recognition: Meritocracy-based culture with clear growth paths and rewards

Required Skill Profession

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