Job Overview:
We are seeking a talented and experienced RPA engineer to join our team. The ideal candidate will design, develop, and deploy automated workflows using Robotic Process Automation tools. You will collaborate with business transformation team to identify opportunities for automation and drive process efficiencies. This role requires technical expertise in RPA platforms, problem-solving skills, and a strong understanding of business processes.
Job Description:
1. Process Analysis and Feasibility:
• Collaborate with team to analyze and document processes suitable for automation.
• Assess the feasibility of automation for various workflows using RPA.
2. Design and Development:
• Develop efficient, scalable, and reusable automation workflows using RPA.
• Design end-to-end automation solutions while adhering to best practices and organizational standards.
3. Testing and Deployment:
• Conduct rigorous testing to ensure automation workflows are accurate, reliable, and robust.
• Deploy bots to production environments and validate their performance.
4. Monitoring and Maintenance:
• Monitor deployed automations for performance and stability.
• Troubleshoot and resolve issues, applying updates and optimizations as needed.
5. Continuous Improvement:
• Identify opportunities to enhance existing automation workflows.
• Stay updated with advancements in RPA, as well as general RPA technologies, tools, and best practices.
The software engineer role breaks down customer requirements into features and implement as an integrated solution. Seeking candidates with a strong sense of responsibility to identify, analysis and debug software issues and align counterpart, outsourcing partner or IHV to come up with a workable solution or fix plan.
Responsibilities of The Role:
1. System Software Issue Analysis
2. Driver and OS Compatibility Analysis, Evaluation.
3. Driver and Application Management.
4. New Technology Survey and Research.
Join our team and have the opportunity to design and develop innovative full-stack applications focused on our enterprise-level Agentic AI and Digital Twins platform, driving digital transformation in the industry. We are looking for passionate individuals who are eager to build high-performance AI-driven applications, integrating cutting-edge technologies such as large language models and real-time data processing to deliver exceptional experiences for enterprise users. In this role, you will collaborate closely with cross-functional teams to translate business needs into innovative technical solutions, ensuring our systems meet the highest standards of security and performance, and become a key player in advancing the industry.
And followings are the R&R for this job:
• Design, develop, and maintain full-stack applications for an Enterprise Agentic AI and Digital Twins platform.
• Build and optimize scalable, high-performance AI-driven enterprise applications, integrating LLMs, multi-agent systems, and real-time data processing.
• Develop intuitive front-end interfaces for enterprise users, enabling seamless interaction with AI-powered decision-making tools.
• Work with AI/ML, cloud, and data engineering teams to integrate AI models, data pipelines, and simulation environments into enterprise workflows.
• Ensure system security, scalability, and performance optimization for enterprise-level applications.
• Collaborate with product managers, data scientists, and engineers to translate business needs into technical solutions.
• Design, build, and manage an enterprise on-prem GenAI platform, including model hosting, orchestration, and monitoring.
• Collaborate with IT dept,engineers, and business stakeholders to integrate GenAI solutions into core business functions.
• Evaluate, implement, and manage AI tools and frameworks (e.g., Hugging Face, LangChain, MLflow, NVIDIA Triton).
• Work with RPA (Robotic Process Automation)to embed AI into automation workflows.
• Ensure data privacy, governance, and compliance requirements are met for on-prem AI solutions.
• Develop internal standards, documentation, and best practices for AI deployment and model lifecycle management.
• Optimize performance of AI models and pipelines in resource-constrained environments.
• Provide guidance on hardware and software infrastructure for AI workloads
• Research and test emerging GenAI technologies and advise on adoption strategies.
Responsibilities:
1. Develop and design backend service systems for business related purposes
2. Capable of working independently on projects by analyzing, designing, developing and maintaining the systems
3. Ensuring that code adheres to defined standards and best practices for performance, scalability, stability, and quality.
4. Might take the responsibility of management.
Qualification:
1. 5+ year of backend experience in the enterprise application service.
2. A solid foundation of either one of backend framework: .Net framework、.Net Core. Capable of using the framework to write high quality code.
3. Experience with data modeling and system design for e-commerce or financial scenarios are preferred.
4. Have a solid knowledge of enterprise integration patterns, micro-services implementation and SOA.
5. Talents who have backend experience in finance, payment, billing, accounting industry are preferred
6. Being comfortable operating in dynamic environments, self-directed, approachable and a great team player