Agentic AI Engineer
FlytBase
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Overview
Position Type
Full Time
Experience
0+ years
Job Description
Architect and deploy Agentic AI systems that enable autonomous drones to perceive, reason, and act independently—bridging cutting-edge AI with real-world robotics at global scale.
As an Agentic AI Engineer, you’ll design multi-agent AI frameworks where AI doesn’t just make suggestions—it takes action. You’ll integrate reasoning, perception, and execution into autonomous workflows that directly control drone fleets in the real world. This role blends deep AI/ML engineering with practical deployment skills to build scalable, safe, and high-performance systems.
• Architecting multi-agent frameworks for autonomous decision-making and agent-to-agent communication.
• Implementing Retrieval-Augmented Generation (RAG) pipelines and persistent memory to ground agents in domain-specific knowledge.
• Developing Vision-Language Model (VLM) solutions for aerial and sensor imagery analysis.
• Enabling agents to autonomously execute Python functions, API calls, and data analysis.
• Deploying AI workflows on AWS/GCP with optimizations for GPU efficiency and latency.
• Implementing observability and debugging tools (e.g., LangSmith) to monitor and refine agent behavior.
• Designing human-in-the-loop safety mechanisms, including fallback protocols and bias checks.