Full Stack Software Ecosystem Creator

4 days ago

Bengaluru, Karnataka, India beBeeDeveloper Full time ₹ 80,00,000 - ₹ 1,20,00,000
Software Ecosystem Developer

We are seeking a highly skilled Senior Full Stack Engineer to build and lead the development of our cutting-edge military object detection platform.

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

Key Responsibilities:

  • Design automated systems for satellite image ingestion, preprocessing, and patch generation.
  • Implement seamless integration of object detection and classification models.
  • Develop automated validation and human-in-the-loop review workflows.
  • Create robust database systems for storing, indexing, and retrieving intelligence data.
  • Design intuitive platforms for intelligence dissemination and visualization.
  • Establish cloud-native architecture handling large-scale data processing.

Required Skills:

  • 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.

Desired 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.

Technical Requirements:

  • 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.

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