Job Description
This position calls for an AI-Powered Automation Developer – Entry Level who can take ownership of core responsibilities within our Robotics Process Automation (RPA) team. This is a junior level opening based out of Hyderabad, offered on a full-time basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 2 years of hands-on exposure to robotics process automation (rpa). Day-to-day, the work draws heavily on Python, Statistical Modelling, Computer Vision, Model Deployment (MLOps), and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 10.8-18.8 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation has historically promoted from within for a majority of its senior and lead openings.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. References may be requested closer to the offer stage rather than at the start of the process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Learning and certification support is available for tools and frameworks directly relevant to the role. Compensation includes standard statutory benefits along with performance-linked variable pay. Interested candidates should be prepared to walk through relevant past work during the interview process.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 2 years of hands-on exposure to robotics process automation (rpa). Day-to-day, the work draws heavily on Python, Statistical Modelling, Computer Vision, Model Deployment (MLOps), and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 10.8-18.8 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation has historically promoted from within for a majority of its senior and lead openings.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. References may be requested closer to the offer stage rather than at the start of the process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Learning and certification support is available for tools and frameworks directly relevant to the role. Compensation includes standard statutory benefits along with performance-linked variable pay. Interested candidates should be prepared to walk through relevant past work during the interview process.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.