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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 ResponsibilitiesBackend 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 QualificationsTechnical Skills

✅ Python Expertise : 2-6 years of hands-on Python development experience

✅ Backend Frameworks : Strong proficiency in FastAPI, Django, or Flask

✅ API Development : Experience building and documenting RESTful APIs

✅ Databases : Working knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, 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 TensorFlow, PyTorch, scikit-learn, or computer vision libraries (OpenCV, Pillow)

Video Processing : Experience with FFmpeg, GStreamer, or video codec optimization

Real-Time Systems : Knowledge of WebRTC, video streaming protocols (RTSP, HLS, DASH)

Async Programming : Proficiency with async / await, asyncio, and concurrent programming

Message Queues : Experience with RabbitMQ, 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 / OpenAPI, 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+

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 : 7-10 business days from application to offer

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 : 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 PhDs 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