AI Agent Developer (40030)

Looking for an AI Agent Developer to design the Agent OS and build services for memory, planning, and agent coordination. You'll integrate LLMs, toolchains, and APIs in scalable, distributed environments. Proficiency in Python or Go and experience with LangChain or CrewAI is expected. Cloud, microservices, and async development are part of your daily toolkit. If you're excited about shaping agent-based systems, let’s connect.

🚀 Project
- design and develop the Agent OS for multi-agent coordination and task execution
- implement core services like memory, planning, scheduling, and environment modeling
- build APIs for defining and managing agents in dynamic environments
- integrate LLMs, vector stores, toolchains, and third-party APIs
- develop tools for agent lifecycle management and inter-agent communication
- ensure scalability, fault-tolerance, and low-latency performance
- collaborate with research and ML teams on real-world use cases
- contribute to documentation and developer best practices

🎯 Skills
- degree in computer science or related field
- 4+ years in systems development, distributed systems, or AI frameworks
- proficiency in Python, Rust, or Go
- experience with async programming and microservices
- familiarity with frameworks like LangChain, LangGraph, CrewAI, Autogen, ReAct
- understanding of multi-agent patterns (e.g., Supervisor, Judge)
- strong knowledge of AI/ML infrastructure and vector databases
- experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure)
- ENG C1

💡 Nice to have
- experience with behavior trees, multi-agent systems, or reinforcement learning
- contributions to open-source AI or agent frameworks
- experience with observability and monitoring tools
- exposure to knowledge graphs, memory systems, or RAG pipelines