Senior Agentic AI Engineer (Python, AWS Bedrock & LangGraph)
Summary
Fully remote senior engineer role designing and shipping production agentic AI applications: building AI agents on AWS Bedrock/AgentCore, LangGraph workflows with state routing, and asynchronous FastAPI services, plus Step Functions orchestration and secure IAM/enterprise practices. Monday–Friday on US Eastern hours from the Philippines, Dominican Republic, or US.
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.