About FlytBase
At FlytBase, we’re not just creating a product—we’re on a zero-to-one journey, building a whole new global category that’s never existed before.
What does that mean? We’re on a mission to unlock the world’s third dimension with fully autonomous drones. It’s the first of its kind. Therefore, everything we do requires first-principle thinking, bold experimentation, and a willingness to push boundaries.
If you’re bored of cookie-cutter playbooks and ready for something fresh, exciting (and yes, involving drones), this is your place.
Don’t believe it? Challenge us—We’d be more than happy to tell you why we’re so confident in what we’re building!
Role and Responsibilities:
- Design Agentic AI Systems
- Develop frameworks for agent-to-agent communication, dynamic task assignment, and context-aware decision-making using tools like LangGraph, AutoGen, or OpenAI Swarm.
- Implement RAG pipelines and memory management to ground agents in domain-specific knowledge (e.g., technical manuals, historical logs).
- Build Versatile AI Capabilities
- Work with Vision-Language Models (VLMs) to analyze aerial/sensor imagery alongside text-based reasoning for tasks like anomaly detection.
- Create agents that autonomously execute Python functions (e.g., data analysis, API calls) based on contextual triggers.
- Optimize for Real-World Impact
- Deploy scalable AI workflows on AWS/GCP, balancing GPU utilization and latency for time-sensitive applications.
- Implement observability tools (e.g., LangSmith) to monitor agent behavior, debug failures, and improve system reliability.
- Human-in-the-Loop Intelligence
- Design oversight mechanisms for AI agents, balancing autonomy with safety (e.g., bias testing, fallback protocols) 11.
- Optimize agent observability with tools like LangSmith for debugging and performance monitoring.
Best suited for candidates who
We care about your engineering mindset, not your industry pedigree.
- Proven AI Development Experience:
- Portfolio of projects demonstrating multi-agent systems, RAG implementations, or decision automation (GitHub/Kaggle links required).
- Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Technical Breadth:
- Experience with cloud platforms (AWS, GCP) and vector databases (Pinecone, Milvus).
- Familiarity with agentic frameworks (LangChain, CrewAI) and LLM orchestration.
- Problem-Solver Mindset:
- Ability to ship production-ready code that balances innovation with scalability.
- Culture Fit:
- Thrive in ambiguity, embrace failure as a learning tool, and challenge KPIs to chase goals.
How to apply:
To apply, send across your CV with a cover letter to careers@flytbase.com, or submit your application below!