Senior Ai Agent

hace 1 semana


Desde casa, México DCMMG A tiempo completo

Senior AI Agents & Voice Automation Engineer

Production Systems | High Ownership | Mexico (Remote)

Location: 100% Remote

Language: Fluent English (spoken and written)

Schedule: Full-time, long-term

We are hiring a senior-level AI systems builder who can design, orchestrate, and deploy complex, multi-agent automations that actually run in production.

This is not a prompt engineering role.

This is not an experimentation or learning role.

This is not a single-agent or no-code-only position.

If you have not already:

  • Built multi-agent systems
  • Shipped voice agents used by real users
  • Owned deployments that broke and were fixed under pressure

This role will not be a fit.

What We Are Building

We deploy production-grade AI agents that:

  • Coordinate multiple agents with shared context and state
  • Orchestrate decision-making across tools, data sources, and workflows
  • Handle real-time voice conversations with reliability and fallback logic
  • Integrate deeply with CRMs, internal systems, and client workflows

These systems touch revenue, operations, and customer experience.

They must work consistently, not "most of the time."

Who This Role Is For

You are a senior builder who:

  • Thinks in systems, not single prompts
  • Has designed agent-to-agent communication and orchestration
  • Understands memory, state, routing, retries, and failure handling
  • Can reason about latency, cost, reliability, and scale
  • Is comfortable owning systems end-to-end without supervision
  • Can clearly explain why something broke and what to do about it

You have already moved beyond tutorials, demos, and isolated proofs of concept.

Absolute Requirements (Non-Negotiable)

You must have personally:

  • Built and deployed at least 2 production AI systems used by real users or businesses
  • Designed multi-agent architectures (not just single agents with tools)
  • Shipped voice AI agents that handle real conversations
  • Owned deployment, monitoring, debugging, and post-launch fixes
  • Supported a live system for 30+ days after launch

If this does not describe your experience, do not apply.

Core Responsibilities

  1. Multi-Agent AI Systems

  2. Architect and build elaborate agent ecosystems with:

  3. Specialized agents (voice, reasoning, routing, data, execution)
  4. Shared memory and state management
  5. Predictable handoffs and decision logic
  6. Combine existing agents and new agents into one cohesive automation
  7. Design systems that remain stable as complexity increases

  8. Voice AI (Mastery Required)

  9. Build and deploy production voice agents using tools such as:

  10. Twilio, ElevenLabs, Whisper, Deepgram, or equivalents
  11. Design call flows, interruption handling, retries, and fallbacks
  12. Manage transcription accuracy, response latency, and conversational reliability
  13. Ensure voice agents behave consistently under real-world conditions

  14. Automation & Orchestration

  15. Orchestrate agents and workflows using:

  16. n8n, Make, Zapier, and/or custom backends
  17. Integrate CRMs, databases, APIs, and internal tools
  18. Design workflows that scale without becoming brittle

  19. Deployment & Ownership

  20. Deploy systems into staging and production environments

  21. Implement monitoring, logging, and error visibility
  22. Document architecture, assumptions, and failure modes
  23. Own outcomes, not just tickets

Required Technical Background

You should be strong in most of the following:

  • OpenAI or similar LLM APIs
  • Agent frameworks (LangChain, LangGraph, custom agent architectures)
  • Multi-agent orchestration patterns
  • Voice AI pipelines (TTS, STT, call handling)
  • Automation tools (n8n, Make, Zapier)
  • APIs, webhooks, and backend integrations
  • Deployment environments (AWS, GCP, Vercel, Docker, etc.)

Strong Advantages

  • AI agents for sales, lead qualification, or customer support
  • CRM-heavy automation environments
  • Custom web app or backend development
  • Monitoring, logging, and reliability engineering
  • Experience balancing accuracy vs latency vs cost in production

How to Apply

To be considered, submit:

  • Your resume

Job Type: Full-time

Pay: $26, $45,659.00 per month

Work Location: Remote


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