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High competition due to recognizable brand, metro hiring, and popular mid-level software/AI engineer profile.
High because specialized Agentic AI and RPA skills limit cross-industry transferability.
High due to multiple mandatory technical skills across AI, automation, cloud, and integrations.
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Design, develop, integrate, and deploy enterprise-grade AI-powered automation and Agentic AI solutions using platforms like CrewAI, UiPath Agent Builder, Python, REST APIs, and Microsoft Power Automate.
Develop multi-agent autonomous task workflows with Human-in-the-Loop controls, including solution design documentation and API integrations with OAuth, JSON, and XML.
Manage AWS environments, implement Infrastructure as Code (Terraform, AWS CloudFormation, AWS CDK), and support CI/CD and DevOps practices to ensure scalable, secure production-ready cloud architectures.
Proven experience in Python, JavaScript, SQL, REST APIs, UiPath and/or Microsoft Power Automate, Excel Macros, Outlook Automation, and database integration.
Hands-on experience with AI concepts including OCR, prompt engineering, agent orchestration, and AI memory.
Experience with AWS environment provisioning and Infrastructure as Code tools such as Terraform or AWS CloudFormation.
Bachelor's Degree in Computer Science, Engineering, Information Technology, or related field.
Proficient in developing and deploying complex Agentic AI systems combining multiple AI frameworks and enterprise automation platforms.
Experienced in secure API design and integration, cloud infrastructure management, and implementing CI/CD pipelines aligned with DevOps practices.
Comfortable collaborating with cross-functional teams to translate business process requirements into scalable, well-architected automation solutions.