AI Agent Orchestration Engineer - Python/LangChain

Description :

- Role Overview.

As an AI Agent Orchestration Engineer, you will :

- Build multi-agent orchestration frameworks using LangChain, AutoGen, CrewAI, or custom systems.

- Implement memory, context-handling, tool-use logic, and message passing.

- Develop agent scheduling, error-handling, fallback, and supervision logic.

- Integrate vector stores, APIs, and event-driven workflows.

- Monitor and evaluate agent performance, reliability, and process flow.

Technical Requirements & Skills :

- Experience : 2+ years in agentic AI, workflow automation, or backend architecture.

- Tools : LangChain, AutoGen, LlamaIndex, Redis queues, Celery, or Kafka.

- Programming : Strong Python engineering skills.

- Infra : Understanding of cloud deployments, async execution, and containerization.

- AI : Knowledge of LLM behavior, RAG, embeddings, and reasoning systems.

What Were Looking For :

- Engineer capable of designing stable, interpretable, multi-agent architectures.

- Comfortable with fast iteration and prototyping.

- Strong systems-thinking mindset.

Why Join Us? :

- Impact : Build orchestration layers for cutting-edge agentic systems.

- Flexibility : Fully remote, project-based advanced AI engineering roles.

- Innovation : Collaborate with AI automation teams across domains