Full Time
1000/mo
24
Apr 28, 2026
**Title:** Python Engineer – AI Agent Systems (Fast Build, High Impact)
**Company:** Nimblo
**Type:** Full-time / Contract (remote – Philippines)
**Comp:** $1,000–$3,000/month (will scale quickly with performance)
---Senior Python Engineer – AI Agent Systems (Fast Build, High Impact)
Company: Nimblo
Type: Part-time ? Full-time (Remote – Philippines)
Comp: $1,000/month starting (fixed) ? scales with performance and active projects
About Nimblo
Nimblo builds AI-powered operational systems for enterprise companies.
We do not build chatbots.
We replace real workflows and roles with structured AI systems.
Clients pay $20K+/month. Execution speed matters.
Role Overview
You will take clear requirements (PRDs) and turn them into:
Working AI workflow systems
Fast demos for sales
Production-ready agent systems
These systems:
Ingest data (CRM,
Move through defined workflow states
Use AI for decision-making
Trigger actions (messages, updates, follow-ups)
Log and track everything
Example Project
Build an AI agent that:
Ingests inbound leads
Qualifies them using AI
Drafts personalized outreach
Updates CRM
Schedules follow-ups
Tracks workflow state end-to-end
Required Stack
You must be strong in:
Python (advanced)
FastAPI (or similar)
PostgreSQL / Supabase
Async jobs / task queues
API integrations (CRM,
LLM APIs (OpenAI or similar)
How We Build
Every system is:
A workflow with state + logic + AI decision points
Not:
Chatbots
Prompt scripts
No-code automations
Nice to Have
CrewAI (for multi-agent systems)
LangGraph
Workflow/state machine experience
Internal tools / automation systems
What We Care About
You build fast (days, not weeks)
You turn ambiguity into structure
You don’t over-engineer
You think in workflows, not features
You can debug and ship independently
What We Don’t Want
Zapier / n8n-only builders
Chatbot-only experience
People who need perfect specs
Slow executors
Comp Structure
Starts at $1,000/month (part-time, fixed)
Scales to full-time as projects increase
Compensation increases with output and ownership
Required Application Task
Answer this clearly and concisely:
A client wants:
“An AI agent that handles inbound leads and follows up automatically.”
Define the workflow (step-by-step)
Where is AI used?
What database tables would you create?
What endpoints/services are required?
Why This Role Matters
You will build systems that:
Replace real operational work
Generate measurable ROI
Scale across enterprise clients
This is a core build role, not support.
Growth Path
Rapid comp increases with performance
Ownership over system architecture
Lead future builds and engineers
How to Apply
Send:
Short intro
Relevant work (GitHub or examples)
Answers to the task above
We move fast. Qualified candidates will be contacted within 48 hours.
## About Us
Nimblo builds **AI-powered operational systems** for enterprise companies.
We don’t build chatbots.
We replace real workflows and roles with structured AI systems.
Our clients pay $5k+/month to deploy these systems — speed and execution matter.
---
## What You’ll Be Doing
You will take clear requirements (PRDs) and turn them into:
Working AI-powered workflow systems
Fast demos for sales
Production-ready agent systems
These systems:
* ingest data (CRM,
* move through workflow states
* use AI to make decisions
* trigger actions (messages, updates, follow-ups)
* log everything
---
## Example Project
Build an AI agent that:
* ingests inbound leads
* qualifies them using AI
* drafts personalized outreach
* updates CRM
* schedules follow-ups
* tracks workflow state end-to-end
---
## Tech Stack (Required)
You must be strong in:
* **Python (advanced)**
* **FastAPI (or similar)**
* **PostgreSQL / Supabase**
* **Async jobs / task queues**
* **API integrations (CRMs,
* **OpenAI or similar LLM APIs**
---
## Important: How We Build
Every system is:
a workflow with state + logic + AI decision points
NOT:
a chatbot
a prompt script
a no-code automation
---
## Nice to Have (Not Required)
* CrewAI (only for multi-agent systems)
* LangGraph
* Experience with workflow engines / state machines
* Experience building internal tools or automation systems
---
## What We Care About
* You build fast (days, not weeks)
* You can turn ambiguity into structure
* You don’t over-engineer
* You think in workflows, not features
* You can debug and ship without hand-holding
---
## What We Don’t Want
* People who rely on Zapier / n8n
* People who only build chatbots
* People who need perfect requirements to start
* People who move slowly
---
## First Task (Required to Apply)
Answer this:
A client wants:
“An AI agent that handles inbound leads and follows up automatically.”
In plain English:
1. What is the workflow? (step-by-step)
2. Where does AI get used?
3. What database tables would you create?
4. What endpoints/services would you build?
Keep it concise and structured.
---
## Why This Role Matters
You will be building systems that:
replace real operational work
generate measurable ROI
scale across multiple enterprise clients
This is not a support role — this is a core build role.
---
## Growth
If you perform:
* compensation scales quickly
* you’ll help define our core system architecture
* you’ll lead future builds and engineers
---
## How to Apply
Send:
* short intro
* relevant projects (GitHub or examples)
* answers to the task above
---
We move fast — strong candidates will be contacted within 48 hours.