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Specialized LLM/agent skills lower pool but metro locations and mid-level role increase candidate competition.
Core LLM, Python, and cloud skills transfer easily, but UiPath/RPA and enterprise automation increase domain specificity.
Extensive mandatory technical stack and domain-specific AI/RPA skills indicate strict technical screening.
Design, develop, and deploy enterprise-grade Agentic AI and Intelligent Automation solutions using LLMs, UiPath, Power Automate, and integration with enterprise systems.
Create and implement multi-agent workflows with Human-in-the-Loop controls, including solution design documentation and collaboration with business stakeholders.
Manage AWS environments, secure API integrations, and CI/CD pipelines to ensure scalable, secure, and production-ready AI automation systems.
Bachelor's Degree in Computer Science, Engineering, IT, or related field.
Strong experience in Python, JavaScript, SQL, REST APIs, UiPath and/or Microsoft Power Automate, and database integrations.
Hands-on experience with AWS provisioning and Infrastructure as Code tools (Terraform, CloudFormation, AWS CDK).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building AI-powered automation with multi-agent or Agentic AI systems and integrating them into enterprise environments.
Comfortable working with cloud architectures, secure API integrations (OAuth, JSON/XML), and CI/CD/DevOps practices for production-grade deployment.
Ability to interpret and translate complex business requirements into technical AI automation solutions collaborating across teams.