EXPRESSION OF INTEREST - AI
On-siteAuckland, Auckland, New Zealand
Job Summary
Design autonomous workflows where LLM-driven agents reason, plan, and execute complex tool manipulation. Build multi-agent coordination frameworks handling collaboration, conflict resolution, and parallel execution. Implement advanced prompt architectures including Chain-of-Thought and Tree-of-Thoughts. Develop rigorous testing benchmarks to ensure agent reliability, safety, and hallucination containment. Submit an Expression of Interest featuring a professional overview, project showcases with GitHub links or demos, and a paragraph on architectural approaches for agent state management and memory. This call targets software engineers, AI researchers, and system architects specializing in Agentic AI.
Required Qualifications
- Deep experience with LangChain, LangGraph, Langfuse, AutoGen, CrewAI, or LlamaIndex
- Advanced proficiency in Python, TypeScript, or C#
- Hands-on API integration and fine-tuning of OpenAI GPT, Anthropic Claude, and open-source models
- Vector databases (Pinecone, Chroma, Milvus)
- Graph databases
- Scalable orchestration (Kubernetes)
- Container engines (Podman, Docker)
Desired Qualifications
- Design autonomous systems that reason, plan, use tools, and execute complex workflows
- Building frameworks for collaboration, conflict resolution, and parallel execution between specialised agents
- Implementing techniques like Chain-of-Thought, and Tree-of-Thoughts
- Developing rigorous testing benchmarks for agent reliability, safety, and hallucination containment
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