TL;DR

Agentic AI Engineer (AI): Leading the design and deployment of AI agents and supporting software to automate discovery, assessment, and migration of legacy applications to cloud-native architectures. Focus on developing intelligent workflows, integrating with cloud platforms, and applying LLMs for optimizing migration paths.

Location: Fully Remote (US)

Salary: $110,880–$210,600

Company

%hirify_global% designs, builds, manages, and modernizes mission-critical technology systems for customers across diverse industries.

What you will do

Design and implement agentic AI systems that automate discovery, assessment, and migration of legacy applications.
Develop intelligent workflows for refactoring monolithic systems into microservices or serverless architectures.
Integrate AI agents with cloud platforms (Azure, AWS, GCP) to orchestrate infrastructure provisioning and data migration.
Build reasoning engines that optimize migration paths based on cost, performance, and compliance.
Collaborate with architects, DevOps, and business stakeholders to align AI-driven modernization with enterprise goals.
Monitor agent performance, retrain models, and continuously improve autonomy and reliability.

Requirements

Bachelor’s or master’s degree in computer science, AI, or a related field.
Experience in AI engineering, with a focus on agentic systems or autonomous workflows.
10+ years of experience in application development.
Deep understanding of application migration strategies (rehost, replatform, refactor, retire).
Proficiency in cloud-native development and infrastructure-as-code (Terraform, Pulumi).
Experience building autonomous agents using frameworks like LangChain or Semantic Kernel.
Strong programming skills in Python, Java, or other modern languages.

Nice to have

Experience with both modern and legacy application development.
Understanding of Legacy technologies (AS400, IBM Mainframe, HP Tandem).
Experience in reverse engineering of legacy source to generate business requirements.
Certifications in cloud architecture (e.g., Azure Architect Expert, AWS Solutions Architect).
Familiarity with enterprise platforms (SAP, Infor, Oracle) and legacy modernization tools.

Culture & Benefits

Investment in employee learning, training, and career growth opportunities.
Comprehensive benefits package including medical, dental, disability, retirement benefits, paid leave, and paid time off.
Access to industry-leading learning programs to receive certifications (Microsoft, Google, Amazon, Skillsoft).
Company-wide volunteering and giving platform for charitable activities.
Commitment to an equitable culture that welcomes people of all cultures, backgrounds, and experiences.