Software Architect Position

4 days ago

Bhavnagar, Gujarat, India beBeeFullStack Full time ₹ 20,00,000 - ₹ 30,00,000

Job Summary

About the Role

We are seeking an exceptional Sr. Software Architect to design and develop a cutting-edge software ecosystem for our AI vision platform.

This high-velocity role involves leveraging latest AI development tools to build systems that transform military object detection models into production-ready, scalable platforms processing satellite imagery and delivering actionable intelligence.

Key Responsibilities
  • Create Image Processing Pipeline: Automated systems for satellite image ingestion, preprocessing, and patch generation.
  • Develop AI Model Integration Layer: Seamless integration of object detection and classification models.
  • Implement Quality Control Systems: Automated validation and human-in-the-loop review workflows.
  • Design Data Management Platform: Robust database systems for storing, indexing, and retrieving intelligence data.
  • Build End-User Interface: Intuitive platforms for intelligence dissemination and visualization.
  • Establish Scalable Infrastructure: Cloud-native architecture handling large-scale data processing.
RequirementsTech Leadership Experience
  • 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 (GitHub Copilot, Cursor, Claude, GPT-4, etc.).
  • 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 (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.
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.

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