Agentic AI Backend Engineer

Please make sure to include your CV incl. AI competency description and Agentic AI project references! The selection process will be fully in English. Please provide only English documents.

We are looking for a highly skilled freelancer to implement intelligent, autonomous agents within a multi-agent AI system tailored for expert sourcing workflows. 

This role is focused on the hands-on development of intelligent agent behavior in a hierarchical AI system designed to automate and streamline expert sourcing. You will be implementing core agent logic, particularly for the Supervisor Agent and its sub-agents, so they can autonomously handle complex tasks such as candidate evaluation, task routing, and process coordination. 

Your work will bring to life dynamic task decomposition, reasoning capabilities, memory handling, and inter-agent communication. You will also be responsible for ensuring robust integration with system components such as message buses, task queues, APIs, and databases. This is a deeply technical role requiring experience with distributed agent systems, prompt engineering, and AI frameworks. 

You’ll be part of a team and work closely with others. Clear communication is key, as tasks are coordinated and prioritized together. Active collaboration is essential. 

Required Skills/Tools Experience:
- Languages & Frameworks/Tools: TypeScript (NestJS), Python (FastAPI or Flask), Docker, NX 
- Agentic AI Tools: mastra, LangChain, AutoGPT, CrewAI (or similar) 
- Task & Message Infrastructure: NATS, Celery, Kafka 
- Databases: PostgreSQL, pgvector 
- API Design: REST, GraphQL, Webhooks, MCP, Websocket 
- Agent Concepts: Reasoning, prompt engineering, agent memory, task planning 
- Architecture Style: Non-blocking, event-driven systems 
- Other: Familiarity with distributed systems, agent execution environments, API interaction 

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