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Generalist AI role with broad LLM, integration, and recognizable employer increases applicant competition.
LLM and MLOps engineering skills transfer across industries but require ML specialization.
Requires specific LLM frameworks, ML libraries, RPA tools and degree but lacks explicit years requirement.
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Develop, deploy, and manage AI-driven automated systems and agentic workflows using LLMs and RPA technologies.
Identify and automate high-value process bottlenecks across departments such as Salesforce, Finance, and Customer Service to improve productivity.
Integrate AI capabilities with existing enterprise systems (CRM, ERP, Cloud) using Python, JavaScript, and APIs, and maintain system performance and reliability.
Bachelor’s or Master’s degree in Computer Science, AI, Data Engineering, or related field.
Strong proficiency in Python for scripting, automation, and API interaction.
Hands-on experience with LLM frameworks (e.g., LangChain, LangGraph) and ML libraries (TensorFlow, PyTorch, or Scikit-learn).
Experience with RPA tools (UiPath, Automation Anywhere) or workflow automation platforms (Make.com, Zapier). Work Experience Required: Not explicitly mentioned in the JD.
Experienced in agentic AI production and MLOps to handle AI-driven automation at scale.
Skilled in integrating advanced AI technologies with enterprise cloud and business systems (AWS, Azure AI, GCP).
Able to analyze and design systems that mimic complex human decision-making for task automation and orchestration.