Senior Ai Agent
hace 1 semana
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
Multi-Agent AI Systems
Architect and build elaborate agent ecosystems with:
- Specialized agents (voice, reasoning, routing, data, execution)
- Shared memory and state management
- Predictable handoffs and decision logic
- Combine existing agents and new agents into one cohesive automation
Design systems that remain stable as complexity increases
Voice AI (Mastery Required)
Build and deploy production voice agents using tools such as:
- Twilio, ElevenLabs, Whisper, Deepgram, or equivalents
- Design call flows, interruption handling, retries, and fallbacks
- Manage transcription accuracy, response latency, and conversational reliability
Ensure voice agents behave consistently under real-world conditions
Automation & Orchestration
Orchestrate agents and workflows using:
- n8n, Make, Zapier, and/or custom backends
- Integrate CRMs, databases, APIs, and internal tools
Design workflows that scale without becoming brittle
Deployment & Ownership
Deploy systems into staging and production environments
- Implement monitoring, logging, and error visibility
- Document architecture, assumptions, and failure modes
- 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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