Agentic AI Orchestrator

Job Title:

Agentic AI Orchestrator

Location:

Remote | Salary:
Full-Time | $140K–$170K Base + Performance Bonus (Total Comp Potential ~$220K) |

Reports to:

CEO | Job #: 7372

This is one of the newest and fastest-growing roles in AI. As an Agentic AI Orchestrator, you design and operate systems where multiple specialized AI agents collaborate to complete complex, multi-step workflows — autonomously and reliably in production.

You're not building chatbots. You're architecting coordination layers: defining how agents communicate, delegate, fail gracefully, and recover — s role sits at the intersection of systems engineering, AI architecture, and product thinking.

• Agent coordination:
  Define communication protocols between specialized agents
• Task routing:
  Distribute subtasks to the right agent at the right time
• State & memory:
  Manage shared context, working memory, and checkpointing
• Failure handling:
  Design fallback logic, retries, and graceful degradation

• Design end-to-end multi-agent architectures — from orchestration topology to inter-agent communication schemas
• Build and maintain the orchestration layer using frameworks such as Lang Graph, Auto Gen, CrewAI, or custom-built systems
• Define agent roles, capabilities, and boundaries — research agents, coding agents, data agents, tool-use agents, and critic/evaluator agents
• Implement robust task decomposition: break complex goals into agent-executable subtasks with clear success criteria
• Manage shared memory, vector stores, and context windows across agent interactions to prevent hallucination and state drift
• Design tool-use layers: connect agents to APIs, databases, code interpreters, web search, and internal systems
• Build observability into multi-agent pipelines — trace agent calls, log decisions, monitor token costs, and detect failure patterns
• Establish evaluation frameworks for agentic workflows: correctness, latency, cost per task, and task completion rates
• Collaborate with ML Engineers and product teams to translate business workflows into agent-executable pipelines
• Maintain security and permission boundaries — agents must not exceed their defined scope or access unauthorized systems

• 3+ years software or AI engineering, systems in production
• Python (expert) — async patterns, concurrency
• LLM APIs:
  OpenAI, Anthropic, or Gemini (tool use, function calling)
• Agent frameworks:
  Lang Graph, Auto Gen, or CrewAI
• RAG pipelines and vector database integration
• REST / Graph
  
  QL API design and consumption
• Prompt engineering for agent personas, instructions, and constraints
• Strong debugging instinct — agents fail in non-obvious ways

• Custom orchestration without a framework (raw LLM + state machine)
• Multi-modal agents: vision, code execution, document processing
• Lang Smith, Arize, or custom eval tooling for agents
• Experience with OpenAI Assistants API or Anthropic tool use
• Fine-tuned models used as specialized sub-agents
• Workflow automation (n8n, Zapier, or custom task queues)
• Security design for agentic systems (scope, sandboxing, guardrails)
• Experience in B2B SaaS, recruiting tech, or operations automation

Python, Lang Graph, Auto Gen, CrewAI, OpenAI / Anthropic APIs, Pinecone / pgvector, Redis, FastAPI