Senior AI Agent Data Engineer

Qmulus Solutions Inc.; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Qmulus Solutions Inc. seeks a Senior Agentic Data Engineer to join its global data organization and advance AI-powered data infrastructure.

You will build autonomous agent workflows, connect CRM/ERP/HRIS to cloud warehouses, and develop real-time streaming solutions using Python, Kafka, and Spark. Ideal candidates have hands-on experience with LangChain, LangGraph, Anthropic Claude APIs, and Terraform, with preference for Snowflake or AWS cloud environments and dbt-based modeling.

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.

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/LLM frameworks

LangChain

LangGraph

Anthropic Claude APIs

Data pipelines

API integrations

Terraform

Cloud platforms (Snowflake/AWS)

Kafka

Spark

dbt

Tools

Terraform

Kafka

Spark

Snowflake

AWS

dbt

Job description

Qmulus Solutions Inc. seeks a Senior Agentic Data Engineer to join its global data organization and advance AI-powered data infrastructure.

You will build autonomous agent workflows, connect CRM/ERP/HRIS to cloud warehouses, and develop real-time streaming solutions using Python, Kafka, and Spark. Ideal candidates have hands-on experience with LangChain, LangGraph, Anthropic Claude APIs, and Terraform, with preference for Snowflake or AWS cloud environments and dbt-based modeling.