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Senior Agentic AI Engineer

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Summary

Fully remote senior engineer building production agentic AI systems: designing AI agents on AWS Bedrock and AgentCore, developing LangGraph workflows and asynchronous Python/FastAPI services, with Step Functions orchestration, secure IAM/authentication, and human-in-the-loop mechanisms, working US Eastern business hours.

Salary: ₱160,000 – ₱180,000 per month

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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