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Autonomous Teaming Tech Stack
AI defense and autonomous systems for military and defense operations
Autonomous Teaming builds AI defense capabilities and autonomous robotic systems for defense applications. The stack reveals dual engineering tracks: a large language model/agent foundation (CrewAI, LangChain, RAG) paired with computer vision and robotics infrastructure (YOLO, Detectron2, ROS, Jetson hardware). Active projects span UAV subsystems, real-time agent coordination, and secure edge deployment—reflecting a systems engineering culture operating across cloud, edge, and field environments. Hiring remains engineering-heavy with security and data roles scaling in parallel.
Tech Stack 58 technologies
Core StackLangChain Python React TypeScript Rust PyTorch Docker NumPy Pandas AWS MLflow Weights & Biases C++ RAG CrewAI Flowise Git YOLO DETR Faster R-CNN RNN ROS Detectron2 MMDetection CVAT Label Studio MinIO ClearML Jetson FPGA+28 more
AdoptingPython
What Autonomous Teaming Is Building
◆Challenges
- Defending against ai-powered asymmetric threats
- Ensuring safe and compliant flight operations
- Hardening server environments
- Handling large sensor data volumes
- Improving dataset quality
- Optimizing inference on edge hardware
- Deploying ml models on robots
- Operating in gps-denied environments
- New types of security threats
- Cost-effective defence solutions
▲Active Projects
- Scalable sensor data pipelines
- Dataset quality visualization tools
- Real-time agent coordination
- Secure it infrastructure and communication systems
- Secure endpoints and mobile devices
- Core autonomy for next generation robotic systems
- Scalable security policy implementation
- Manual uav test flights
- Production-ready ai agent development
- Build uav subsystems
Hiring Activity
Steady35 roles · 10 in 30d
Department
Seniority
Company intelligence
