Call for Expressions of Interest: Agentic AI Development Candidates
We are seeking expressions of interest (EOI) from forward-thinking software engineers, AI researchers, and system architects specialising in Agentic AI. If you design autonomous systems that reason, plan, use tools, and execute complex workflows, we want to hear from you!
Role Focus Areas
Autonomous Workflows: Designing LLM-driven agents capable of multi-step reasoning, self-correction, and tool manipulation.
Multi-Agent Coordination: Building frameworks for collaboration, conflict resolution, and parallel execution between specialised agents.
Advanced Prompt Architecture: Implementing techniques like Chain-of-Thought, and Tree-of-Thoughts.
Evaluation & Guardrails: Developing rigorous testing benchmarks for agent reliability, safety, and hallucination containment.
Technical Stack & Skillsets
Frameworks: Deep experience with LangChain, LangGraph, Langfuse, AutoGen, CrewAI, or LlamaIndex.
Core Languages: Advanced proficiency in Python, TypeScript, or C#.
Models: Hands-on API integration and fine-tuning of OpenAI GPT, Anthropic Claude, and open-source models.
Infrastructure: Vector databases (Pinecone, Chroma, Milvus), graph databases, and scalable orchestration (Kubernetes) & container engines (Podman, Docker).
Submission guidelines (Optional)
To submit your Expression of Interest, please prepare the following information:
Professional Overview: A short summary of your background in AI and software engineering.
Project Showcase: Links to GitHub repositories, demo links if any, or technical write-ups of AI agents you have built.
Architectural Approach: A brief paragraph on your preferred philosophy for handling agent state management and memory.