Senior Agentic AI Engineer (Python, AWS Bedrock & LangGraph)

Global BPO Solution Ltd.

Manila

Remote

PHP 7,643,000 - 10,828,000

Full time

3 days ago
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Job summary

Global BPO Solution Ltd. is seeking a hands-on Senior Agentic AI Engineer to design, develop, integrate, and optimize production-ready autonomous AI applications. You will build scalable, secure AI workflows using AWS Bedrock, AgentCore, LangGraph, Python, and FastAPI.

You will deploy agentic AI solutions in production, implement secure APIs, and ensure reliability and performance across distributed cloud architectures. Strong English communication and a dedicated home office are required.

Qualifications

  • Expert-level Python software engineering experience.
  • Production applications experience with FastAPI.
  • Hands-on LangGraph knowledge: state management, routing, persistence.
  • Experience building agentic AI solutions on AWS Bedrock and AWS AgentCore.
  • Experience with AWS Step Functions and distributed architectures.
  • Strong IAM and secure API design capabilities.
  • Excellent written and spoken English.

Responsibilities

  • Design, build, and deploy AI agents using AWS Bedrock and AgentCore.
  • Develop LangGraph workflows with state management and routing.
  • Create production-grade FastAPI services and asynchronous Python APIs.
  • Integrate tools and multi-step workflows with human-in-the-loop approvals.
  • Apply AWS Step Functions orchestration and distributed cloud architectures.
  • Ensure enterprise AI security practices and IAM controls.
  • Refactor legacy agent architectures for reliability and scale.

Skills

Python
FastAPI
LangGraph
AWS Bedrock
AWS AgentCore
Distributed systems

Tools

AWS Step Functions
IAM & security
Runtime/Gateway/Registry

Job description

Job Description

Employment Type: Full-Time
Work Setup: Fully Remote
Location: Philippines, Dominican Republic, or United States
Work Schedule: Monday-Friday, 8:00 AM-5:00 PM US Eastern Time

About the Role

We are seeking a hands-on Senior Agentic AI Engineer to design, develop, integrate, and optimize production-ready autonomous AI applications.

You will build scalable, secure, and distributed AI workflows using AWS Bedrock, AgentCore, LangGraph, Python, and FastAPI. This role requires strong software engineering expertise and practical experience deploying agentic AI solutions in production environments.

Key Responsibilities
  • Design, build, and deploy AI agents using AWS Bedrock and AgentCore.
  • Develop and maintain LangGraph workflows with state management, conditional routing, and graph persistence.
  • Build production-grade FastAPI services and asynchronous Python APIs.
  • Integrate external tools, multi-step workflows, and human-in-the-loop approval mechanisms.
  • Implement AWS Step Functions orchestration and distributed cloud architectures.
  • Apply secure API integrations, IAM policies, authentication controls, and enterprise AI security practices.
  • Refactor legacy agent architectures and optimize system reliability, scalability, and performance.
Qualifications
  • Expert-level Python software engineering experience.
  • Proven experience developing production applications using FastAPI.
  • Hands-on experience with LangGraph, including state management, conditional routing, and graph persistence.
  • Practical experience building agentic AI solutions using AWS Bedrock and AWS AgentCore, including Runtime, Gateway, and Registry.
  • Experience with AWS Step Functions, distributed systems, orchestration frameworks, and multi-agent architectures.
  • Strong understanding of IAM, secure API design, authentication, and enterprise AI deployment.
  • Excellent written and verbal English communication skills.
  • A dedicated home office with reliable high-speed internet, suitable hardware, and UPS backup where applicable.
What We Offer
  • Competitive base salary package.
  • Fully remote work arrangement.
  • Opportunity to work on high-impact, production-level AI engineering projects.
  • Access to enterprise-grade cloud infrastructure and modern AI development tools.
  • Continuous professional development opportunities.
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