CG Infinity is seeking a Senior AI Automation Engineer to lead the transition from legacy RPA workflows to intelligent, agent-driven systems. This hands-on role involves designing, building, and scaling modern automation using agent frameworks and AWS-native services.
Responsibilities:
- Lead migration of legacy RPA solutions into agent-based architectures
- Design and develop AI agents using LangGraph, Strands, or similar frameworks
- Build and deploy agent workflows on AWS (Bedrock, Lambda, Step Functions, API Gateway)
- Orchestrate multi-step workflows with memory, state, and tool usage
- Integrate with enterprise systems (CRM, ATS, ERP, APIs, databases)
- Improve reliability, observability, and cost efficiency of automation pipelines
- Partner with business and product teams to identify automation opportunities
Requirements:
- 5–10 years of experience in software engineering, automation, or related roles
- Strong background in RPA (UiPath, Automation Anywhere, Blue Prism, etc.)
- Hands-on experience with AWS (Bedrock, Lambda, S3, Step Functions, IAM)
- Proven experience building or working with LLM-powered agents
- Experience with LangGraph, Strands, or similar orchestration frameworks
- Strong programming skills in Python (preferred) or JavaScript
- Solid understanding of APIs, event-driven systems, and workflow orchestration
- AWS Certified Solutions Architect – Associate or Professional
- AWS Certified Machine Learning – Specialty (highly valued)
- AWS Certified Developer – Associate
- UiPath Certified Advanced RPA Developer or equivalent (nice to have)
- Experience transitioning from RPA to AI/agent-based automation
- Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG)
- Experience with observability tools (CloudWatch, Datadog, etc.)
- Exposure to secure enterprise deployments (IAM policies, secrets management)
- Background in building internal platforms or reusable automation frameworks