This position is posted by Jobgether on behalf of a partner company. We are currently looking for a AI Automation Engineer (RPA & Agent Development) in United States.

This role sits at the intersection of automation engineering, cloud architecture, and applied AI, focusing on transforming traditional RPA systems into modern, intelligent agent-based solutions. You will design and build scalable AI-driven workflows that leverage LLMs, orchestration frameworks, and AWS-native services. The work directly impacts enterprise efficiency by replacing static automation with adaptive, reasoning agents. You will collaborate closely with product, engineering, and business teams to identify high-value automation opportunities. This is a hands-on, highly technical role in a fast-evolving environment where innovation and experimentation are encouraged. The ideal candidate thrives in building production-grade systems that combine AI, cloud infrastructure, and workflow orchestration.

Accountabilities:

In this role, you will be responsible for driving the evolution of automation systems from legacy RPA to intelligent, agent-based architectures while ensuring scalability, reliability, and business alignment.

Lead the migration of existing RPA workflows into modern AI-driven agent frameworks, redesigning processes for flexibility and intelligence.
Design, build, and deploy AI agents using frameworks such as LangGraph, Strands, or similar orchestration tools.
Develop and maintain agentic workflows on AWS using services like Lambda, Bedrock, Step Functions, S3, and API Gateway.
Orchestrate multi-step workflows with memory, tool usage, state management, and external system integrations.
Integrate automation solutions with enterprise platforms such as CRM, ERP, ATS, and internal APIs and databases.
Improve performance, reliability, observability, and cost efficiency of automation pipelines through continuous optimization.
Partner with cross-functional stakeholders to identify, prioritize, and deliver high-impact automation opportunities.

Requirements:

The ideal candidate brings strong technical expertise in automation and cloud engineering, combined with hands-on experience in AI/LLM systems and a product-minded approach to problem solving.

5–10 years of experience in software engineering, automation engineering, or related technical roles.
Strong background in RPA platforms such as UiPath, Automation Anywhere, or Blue Prism.
Hands-on experience with AWS services including Bedrock, Lambda, S3, Step Functions, and IAM.
Proven experience building or contributing to LLM-powered agents or AI-driven systems.
Experience with orchestration frameworks such as LangGraph, Strands, or similar tools.
Strong programming skills in Python (preferred) or JavaScript.
Solid understanding of APIs, event-driven architecture, and workflow orchestration patterns.
Familiarity with enterprise system integration and secure deployment practices is highly valued.
Experience transitioning from traditional RPA to AI/agent-based automation is a strong plus.

Benefits:

Competitive salary aligned with experience and market standards
Fully remote work model (United States-based)
Opportunity to work on cutting-edge AI and agent-based automation systems
Exposure to modern cloud-native architecture on AWS
Collaborative and innovation-driven work environment
Strong ownership of projects with high business impact
Professional growth in AI, automation, and distributed systems

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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