Python Developers

Job description

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, 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:

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

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 GitHub 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: Apply Email:



(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

Required Skill Profession

Prb