Senior AI Automation & LLM Engineer

WAMO LABS; Lahore; Hybrid; PKR 350,000 - 500,000; Full time

Benefits offered by this job

Performance bonuses bi-annually

Paid time off

Annual learning budget

Hardware & tools stipend on day one

Home internet stipend, monthly

Health & wellness coverage

Hybrid & remote flexibility

Quarterly team events and annual team/

Annual retreat

Job summary

WAMO LABS is seeking an AI Automation Engineer to design, build, and scale automation workflows and agent-based systems. You will work on real-world n8n workflows, multi-agent pipelines, and LLM-driven automations supporting internal operations and product features.

You will design, develop, and maintain automation workflows, integrate LLMs, ETL pipelines, and FastAPI services, collaborate across teams, and communicate requirements and timelines clearly.

Qualifications

• 2–4 years of experience in automation, AI, or backend engineering.
• Proficient in Python.
• Experience with automation tools like n8n, Zapier, or Make.com.
• Familiar with LangChain / LangGraph and agent-based automation frameworks.
• Strong ETL, API integration and FastAPI experience.
• Familiar with vector DBs and RAG workflows.
• Good communication skills and problem-solving.

Responsibilities

• Design, develop, and maintain automation workflows using n8n (preferred) or similar tools.
• Build multi-agent systems using LangChain or LangGraph for task automation.
• Integrate LLMs into step-by-step automation pipelines (prompts, actions, routing).
• Develop ETL workflows for data extraction, cleaning, and transformation.
• Deploy and maintain FastAPI-based services for automation endpoints.
• Integrate vector databases and build RAG-based automation flows.
• Create monitoring, logging, and reliability mechanisms for automation systems.
• Collaborate with cross-functional teams to transform manual work into automated processes.
• Clearly communicate requirements, limitations, and timelines with stakeholders.

Skills

Python

Automation experience

Backend engineering

LangChain / LangGraph

ETL

APIs

FastAPI

Vector DBs / RAG

Communication skills

Tools

n8n

Zapier

Make.com

LangChain

LangGraph

FastAPI

Job description

We are looking for an AI Automation Engineer to design, build, and scale automation workflows and intelligent agent-based systems. You will work on real-world n8n workflows, multi-agent pipelines, and LLM-driven automations that support internal operations and product features.

What you'll do

• Design, develop, and maintain automation workflows using n8n (preferred) or similar tools.
• Build multi-agent systems using LangChain or LangGraph for task automation.
• Integrate LLMs into step-by-step automation pipelines (prompts, actions, routing).
• Develop ETL workflows for data extraction, cleaning, and transformation.
• Deploy and maintain FastAPI-based services for automation endpoints.
• Integrate vector databases and build RAG-based automation flows.
• Create monitoring, logging, and reliability mechanisms for automation systems.
• Collaborate with cross-functional teams to transform manual work into automated processes.
• Clearly communicate requirements, limitations, and timelines with stakeholders.

What we're looking for

• 2–4 years of industry experience in automation, AI, or backend engineering.
• Strong proficiency in Python.
• Experience with n8n, Zapier, Make.com, or similar automation tools.
• Experience with LangChain / LangGraph or agent-based automation frameworks.
• Good understanding of ETL pipelines and API integrations.
• Hands‑on experience with FastAPI (or similar frameworks).
• Familiarity with vector DBs and RAG workflows.
• Strong problem‑solving skills and willingness to explore new technologies.
• Good communication skills, especially in explaining technical workflows.

Competitive up to 400k

• Performance bonuses paid bi‑annually
• Generous paid time off, planned and casual
• Annual learning budget for courses, certifications, and conferences
• Hardware & tools stipend on day one
• Home internet stipend, monthly
• Health & wellness coverage
• Hybrid & remote flexibility where the work allows
• Quarterly team events and an annual retreat