AI Automation Engineer (RPA & Agent Development)

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!
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