
Intelligent Automation Specialist
13 hours ago
This role involves the development and implementation of cutting-edge, AI-driven solutions that combine low-code platforms with intelligent automation capabilities.
- Achieve seamless integration of public and private large language models (LLMs) to unlock advanced features such as text summarization, semantic search, and conversational agents.
- Design complex workflow automations guided by RPA principles, embedding LLMs for adaptive automation, including dynamic error handling and process logic.
- Pursue innovative applications of machine learning and natural language processing to drive real-time insights within business apps.
- Optimize application reliability, scalability, and performance, minimizing latency, ensuring high availability, and adhering to best practices in privacy and data protection.
Key Responsibilities:
- Leverage Appsmith AI to develop sophisticated, intuitive applications incorporating natural language querying, smart widget recommendations, and AI-driven actions.
- Collaborate with cross-functional teams to design scalable, LLM-enhanced applications harnessing RPA methodologies for automated processes.
- Maintain detailed documentation for AI features, LLM/RPA integrations, and best practices to foster reusability, compliance, and rapid onboarding.
- Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
- 3-6 years of proven software development experience, with 2+ years in low-code/no-code and AI-enhanced applications, preferably with RPA tools.
- Advanced skill in JavaScript, SQL, and API integration for building custom AI functionality.
- Demonstrated experience with LLMs and their APIs for enabling generative and analytical features.
- Solid grasp of Git for version control, branching, and team workflows.
- Flexible Work Arrangements: Remote-first environment with flexible arrangements for distributed teams.
- Innovative Culture: A culture centered around innovation in AI and automation, fostering continuous learning and knowledge sharing.
- Professional Development: Opportunities for professional growth and development in AI and RPA.
Evaluate your skills and qualifications against these requirements and seize the opportunity to make a significant impact in the field of intelligent automation.
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