Design and build scalable orchestration systems for AI agents, integrating multiple tools and APIs. Implement memory, context-handling, and message passing logic. Monitor and evaluate agent performance and process flow.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
About BeGig
BeGig connects founders with elite AI and automation talent. As part of our network, you work on high-value AI agent and automation projects.
Your Opportunity
Join BeGig as an AI Agent Orchestration Engineer and build scalable orchestration systems that manage task delegation, tool calling, memory, and communication between multiple AI agents.
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 We’re 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.