Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, mid-level seniority, generalist senior software title, and broad sought skills drive high competition.
Role requires specialized RPA and GenAI experience but skills are moderately transferable across enterprise sectors.
Explicit 4+ years plus mandatory RPA, GenAI, LLM, and platform integration experience makes shortlisting highly strict.
Lead design, build, and deployment of end-to-end intelligent automation solutions combining RPA, Generative AI, and Agentic AI technologies.
Manage moderately complex technical initiatives including strategy planning, coding, testing, and documentation.
Lead projects, resolve complex technical challenges, and provide guidance to less experienced staff in automation and AI integration.
4+ years of software engineering experience (work experience, training, military experience, or education equivalent).
Hands-on experience with intelligent automation and RPA tools (UiPath or equivalent).
Experience integrating AI-driven solutions using programming languages like Python, and working with LLM platforms (Google Vertex AI, Azure OpenAI, AWS Bedrock, or equivalent).
Preferred certifications in RPA, low-code/no-code platforms, GenAI/LLM technologies, or cloud AI (UiPath, Microsoft Power Platform, Google, Microsoft, AWS).
Experienced in enterprise-grade software engineering focused on automation lifecycle from design through deployment and maintenance.
Skilled in building and integrating AI agent frameworks and multi-agent systems using frameworks like LangChain, LangGraph, Semantic Kernel, or Google ADK.
Proficient with scalable, maintainable solution design including AI/LLM Ops, CI/CD, secure coding, and cloud-agnostic deployment environments.