Job description
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.