Senior Engineering Architect

22 hours ago

Mysore, Karnataka, India beBeeInnovator Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
AI Vision Platform Software Ecosystem Developer

About the Role

We're seeking a talented software engineer to build and lead the development of our AI vision platform. This is a high-velocity, AI-native role where you'll leverage the latest AI development tools to build at unprecedented speed while maintaining enterprise-grade quality and security standards.

The successful candidate will be responsible for creating the entire software ecosystem that transforms our cutting-edge military object detection models into a production-ready, scalable platform that processes satellite imagery and delivers actionable intelligence.

This includes building:

  • Automated systems for satellite image ingestion, preprocessing, and patch generation
  • Seamless integration of object detection and classification models
  • Automated validation and human-in-the-loop review workflows
  • Robust database systems for storing, indexing, and retrieving intelligence data
  • Intuitive platforms for intelligence dissemination and visualization
  • Cloud-native architecture handling large-scale data processing

The ideal candidate will have 5+ years of experience in software engineering with 2+ years in AI/ML system integration, proven technical leadership skills, and expertise in leveraging AI coding tools.

Key responsibilities include:

  • Leveraging AI assistants for rapid prototyping, code generation, and debugging
  • Experience with AI-powered testing, documentation, and deployment tools
  • Delivering projects 2-3x faster than traditional development approaches

Additionally, the candidate should possess expertise in:

  • Backend Development: Python, Node.js, or Go for high-performance systems
  • Computer Vision Integration: Experience with OpenCV, PIL, and ML model deployment (ONNX, TensorRT, TorchServe)
  • Database Systems: PostgreSQL, MongoDB, or similar for geospatial and metadata storage
  • Cloud Platforms: AWS, GCP, or Azure with container orchestration (Docker, Kubernetes)
  • API Development: RESTful and GraphQL APIs for system integration
  • DevOps: CI/CD pipelines, infrastructure as code, monitoring systems

The perfect candidate will understand the entire stack from data ingestion to user interfaces, architect systems that are both performant and maintainable, and balance speed of development with code quality and security.

This role requires someone who can move at the speed of innovation while building systems that our users' missions depend on. If you're an AI-native engineer who thrives on technical challenges and wants to build technology that matters, we want to hear from you.

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