[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · NCR # Agentic AI & RPA UiPath Automation Developer NCR Software Engineering Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/423487J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Agentic AI & RPA UiPath Automation Developer ## Job description TCS Hiring for Agentic AI & RPA UiPath Automation Developer Role: Agentic AI & RPA UiPath Automation Developer Location: Noida Experience: 7 - 12 years Education: Minimum 15 years of regular, full-time education (10 + 2 + 3) (B. Tech preferred) UiPath Certification (Good to have). Job Role We are seeking highly skilled Agentic AI & RPA UiPath Automation Developers with strong expertise in UiPath RPA, Agentic AI, and AWS-based AI agent development using Python. The ideal candidate will be responsible for developing, deploying, and maintaining intelligent, autonomous automation solutions that integrate enterprise systems, cloud services, and AI-driven decision-making capabilities. This role requires a blend of excellence of RPA, cloud-native engineering, and agent-based AI, enabling scalable, secure, and intelligent business process automation. ### Skills Overall upto - 12 years of Experience with ~ 5+ years of hands-on experience in RPA using UiPath - Strong experience in Agentic AI concepts - Proficiency in Python for automation and AI development - Solid experience working with AWS cloud services - Strong understanding of REST APIs, JSON, OAuth, and system integrations Experience with databases (SQL / NoSQL) - Knowledge of Git, CI/CD pipelines, and DevOps practices UiPath Studio, Orchestrator, Robots REFramework and enterprise-grade automation AI Center / Document Understanding Experience building autonomous agents, tool-using agents, or workflow-based AI systems Understanding of prompt engineering, agent memory, reasoning, and orchestration - Familiarity with LLM-based frameworks or AI orchestration tools (preferred) - Strong analytical and problem-solving abilities - Excellent communication and stakeholder management skills - Ability to work independently and lead complex automation initiatives Mentoring junior developers and contributing to best practices Responsibilities: Build intelligent agents using Python integrating LLMs, workflows, tools, and event-driven logic - Implement reasoning, planning, memory, and tool-usage capabilities within AI agents Develop AI-driven automation use cases such as self-healing bots, decision intelligence, orchestration agents, and predictive automation - Design, develop, and deploy end-to-end RPA solutions using UiPath (Studio, Orchestrator, Robots) Implement REFramework, Dispatcher/Performer models, and reusable automation components Integrate UiPath bots with AI services, APIs, databases, and cloud platforms - Optimize bot performance, scalability, and reliability across environments - Perform code reviews, exception handling, logging, and bot monitoring - Develop and deploy AI and automation services on AWS Build agent-backed services using: AWS Lambda EC2 / ECS S3 API Gateway Step Funct ions EventBridge Integrate AWS AI/ML services (e.g., Bedrock, SageMaker, Textract, Comprehend – as applicable) - Ensure secure IAM roles, cost optimization, scalability, and high availability - Write clean, efficient, and scalable Python code for automation, AI agents, and cloud services - Develop microservices, APIs, and background workers supporting automation workflows - Implement asynchronous processing, multiprocessing, and event-driven patterns - Write unit tests and follow best coding practices - Follow enterprise security standards, compliance requirements, and audit practices - Implement logging, monitoring, alerting, and error-handling mechanisms - Maintain proper documentation, version control, and CI/CD pipelines