Summary About the Work

We’re building model-orchestrated AI agents on AWS to power our operations — a governance layer on top, domain agents underneath, each running scoped “skill” prompts against a shared toolset.

Some workflows run as full automations; others are human-in-the-loop, where the agent drafts and a person reviews before anything executes.

We’re looking for someone who can start immediately and move fast without sacrificing accuracy.

What You’ll Do

- Build and deploy agents/workflows in our AWS environment
- Author agent skills (prompt + scoped tools) for each domain
- Build both fully automated workflows and human-in-the-loop tasks:
- agent drafts → human review/approval → execute
- Wire tool integrations and guardrails, including scoped access, review gates, and kill-switches
- Ship clean, documented, testable builds through our CI pipeline
- Operate and coordinate multiple AI coding/agent sessions simultaneously to accelerate delivery
- Break larger projects into parallel workstreams, delegate those workstreams to agents, review their output, resolve conflicts, and integrate the final build

Must Have

- Strong AWS experience:
- ECS Fargate
- Lambda + SQS
- DynamoDB
- API Gateway
- Cognito
- CodePipeline
- Amazon Bedrock experience, or comparable LLM/agent framework experience
- Proven experience building LLM agents or tool-using workflows in production
- Experience building integrations against third-party APIs, including REST APIs and webhooks
- Reliable overlap with US working hours (Eastern to Pacific) for huddles and reviews
- Ability to start immediately




- Strong judgment, testing discipline, and attention to detail

Critical: Multi-Agent ExecutionWe are specifically looking for someone who knows how to use AI development tools as a force multiplier, not someone who launches one Claude Code session and waits for it to finish. You will be provided with multiple Claude Code accounts/environments and are expected to:

- Run multiple agents and development workstreams in parallel
- Give each agent clearly scoped assignments
- Keep several builds, research tasks, tests, and debugging efforts moving simultaneously
- Review agent output rather than blindly accepting it
- Catch errors, inconsistencies, and integration issues
- Reassign or redirect agents quickly when a workstream gets stuck
- Integrate parallel work into a stable final product

Think of this role less like a traditional developer working one ticket at a time and more like a technical lead managing a small team of AI engineers at once.

What We Care About

Speed + accuracy.

We want someone who can dramatically increase throughput by orchestrating AI effectively while still owning the quality of what gets shipped.

Using AI is expected. Sitting idle while AI works is not.

You should be comfortable thinking:

“What can I run in parallel right now?”

rather than:

“What do I work on after this finishes?”

If you are highly technical, move quickly, can manage multiple AI workstreams at once, and know how to turn agent output into clean production systems, we want to talk.

You don't need to speak English for this role

📌 AWS Developer — AI Agents & Workflow Orchestration (México)
🏢 Happen Ventures
📍 México