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Senior AI Vision Systems Developer

3 weeks ago


Ajmer, Rajasthan, India beBeeEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Vision Platform Engineer

We're seeking a seasoned engineer to develop and lead the development of our AI vision platform. You'll be responsible for creating the entire software ecosystem that transforms cutting-edge military object detection models into a production-ready, scalable platform.

This is a high-velocity role where you'll leverage the latest AI development tools to build at unprecedented speed while maintaining enterprise-grade quality and security standards.

Key Responsibilities:
  • Create Automated Image Processing Pipelines: systems for satellite image ingestion, preprocessing, and patch generation
  • Integrate AI Models through Model Integration Layers
  • Develop Quality Control Systems: automated validation and human-in-the-loop review workflows
  • Design Data Management Platforms: robust database systems for storing, indexing, and retrieving intelligence data
  • Build End-User Interfaces: intuitive platforms for intelligence dissemination and visualization
  • Implement Scalable Infrastructure: cloud-native architecture handling large-scale data processing
Requirements:
  • 5+ years of experience in software engineering with 2+ years in AI/ML system integration
  • Proven track record of leading technical teams (2-10 developers)
  • Experience shipping production ML/AI systems at scale
Ai-Native Development Expertise:
  • Expert-level proficiency in leveraging AI coding tools
  • Demonstrated ability to use AI assistants for rapid prototyping, code generation, and debugging
  • Experience with AI-powered testing, documentation, and deployment tools
  • Track record of delivering projects 2-3x faster than traditional development approaches
Core Technical Skills:
  • Backend Development: Python, Node.js, or Go for high-performance systems
  • Computer Vision Integration: Experience with OpenCV, PIL, and ML model deployment
  • Database Systems: PostgreSQL, MongoDB, or similar for geospatial and metadata storage
  • Cloud Platforms: AWS, GCP, or Azure with container orchestration
  • API Development: RESTful and GraphQL APIs for system integration
  • DevOps: CI/CD pipelines, infrastructure as code, monitoring systems
What Makes You Ideal:
  • You're obsessed with building fast and iterating quickly
  • You see AI tools as force multipliers, not just conveniences
  • You can rapidly prototype complex systems and scale them to production
  • You thrive in fast-paced, high-stakes environments