Job Description
## RPA Developer – AI & Automation
**Department:** Robotics Process Automation (RPA) | **Industry:** Artificial Intelligence (AI)
**Location:** Bhubaneswar | **Job Type:** Full-time | **CTC:** INR 4.6-12.2 LPA
### Role Overview
This position calls for a RPA Developer – AI & Automation who can take ownership of core responsibilities within our Robotics Process Automation (RPA) team. The role is positioned at the junior level and reports into the broader Robotics Process Automation (RPA) charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to robotics process automation (rpa).
- Apply working knowledge of Robotics Process Automation (RPA) and Cloud Platforms (AWS/GCP/Azure) to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- B.Tech (CS/AI) or equivalent qualification.
- 1 years of relevant experience (junior level).
- Working proficiency in: Robotics Process Automation (RPA), Cloud Platforms (AWS/GCP/Azure), Python, Natural Language Processing, Deep Learning, Model Deployment (MLOps).
### Additional Notes
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months. Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Learning and certification support is available for tools and frameworks directly relevant to the role. The package is structured with a fixed component, performance bonus, and standard health coverage. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
**Department:** Robotics Process Automation (RPA) | **Industry:** Artificial Intelligence (AI)
**Location:** Bhubaneswar | **Job Type:** Full-time | **CTC:** INR 4.6-12.2 LPA
### Role Overview
This position calls for a RPA Developer – AI & Automation who can take ownership of core responsibilities within our Robotics Process Automation (RPA) team. The role is positioned at the junior level and reports into the broader Robotics Process Automation (RPA) charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to robotics process automation (rpa).
- Apply working knowledge of Robotics Process Automation (RPA) and Cloud Platforms (AWS/GCP/Azure) to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- B.Tech (CS/AI) or equivalent qualification.
- 1 years of relevant experience (junior level).
- Working proficiency in: Robotics Process Automation (RPA), Cloud Platforms (AWS/GCP/Azure), Python, Natural Language Processing, Deep Learning, Model Deployment (MLOps).
### Additional Notes
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months. Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Learning and certification support is available for tools and frameworks directly relevant to the role. The package is structured with a fixed component, performance bonus, and standard health coverage. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week.