Senior AI Data Engineer - Remote, LLM & Automation

Qmulus Solutions Inc.; Manila; Remote; PHP 1,200,000 - 2,000,000; Full time

Job summary

Qmulus Solutions Inc. seeks a Senior Agentic Data Engineer to join our global data organization and help build AI-powered data infrastructure. You will design autonomous agent workflows, connect CRM/ERP/Product/HRIS to cloud data warehouses, and automate data pipelines in a scalable, production-ready environment.

The role combines data engineering, cloud infrastructure, analytics, and generative AI to deliver robust data solutions. Remote, graveyard-friendly schedule, international team.

Qualifications

• 6+ years of experience in Data Engineering, AI/Software Engineering, or Cloud Infrastructure roles
• Advanced proficiency in Python and SQL for building data pipelines, API integrations, automation scripts, and data processing workflows
• Hands-on experience building AI agents, tool-calling workflows, or LLM-powered applications is required
• Experience with LangChain, LangGraph, Anthropic Claude APIs, or similar AI/LLM frameworks
• Practical experience writing and managing cloud infrastructure using Terraform or similar Infrastructure-as-Code tools
• Experience designing and optimizing cloud data environments, particularly Snowflake or AWS, is preferred
• Familiarity with dbt, modern data modeling frameworks, and version-controlled transformation tools is preferred
• Experience with Kafka, Spark, or other streaming technologies is preferred
• Experience building and integrating APIs and enterprise data sources is an advantage

Responsibilities

• Build, deploy, and maintain autonomous AI agent workflows using frameworks such as LangChain and LangGraph and LLMs such as Anthropic Claude.
• Develop agentic data ingestion mechanisms that connect upstream systems including CRM, ERP, Product, and HRIS platforms to cloud data warehouse environments.
• Design automated solutions that detect, isolate, and address schema changes and data pipeline issues.
• Develop near real‑time data streaming architectures and API integrations using Python, Kafka, Spark, or similar technologies.
• Use Terraform and Infrastructure-as-Code to securely provision and manage cloud infrastructure.
• Develop AI‑powered solutions capable of translating natural‑language requests into dbt models, optimized SQL, and automated BI dashboards.
• Build automation that improves data pipeline management, analytics, BI development, monitoring, and governance.
• Implement intelligent data monitoring, RBAC governance, PII masking, and data lineage through agentic workflows.
• Collaborate with Data Engineering, Analytics Engineering, IT, Security, and business teams to develop scalable data solutions.
• Proactively identify opportunities to automate repetitive data platform activities and improve the reliability and efficiency of data operations.

Skills

Python

SQL

AI agents

LangChain/LangGraph

Terraform

Snowflake/AWS

Kafka/Spark

APIs

Tools

dbt

Terraform

Job description

Qmulus Solutions Inc. seeks a Senior Agentic Data Engineer to join our global data organization and help build AI-powered data infrastructure. You will design autonomous agent workflows, connect CRM/ERP/Product/HRIS to cloud data warehouses, and automate data pipelines in a scalable, production-ready environment.

The role combines data engineering, cloud infrastructure, analytics, and generative AI to deliver robust data solutions. Remote, graveyard-friendly schedule, international team.