Job Description
Looking for a Junior AI Security & Compliance Engineer who's genuinely interested in AI Security & Privacy and wants to make an impact from day one.
You'll be working out of Indore (internship), and honestly, the day-to-day is going to revolve around Privacy and Python. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai security & privacy.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 0 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 8.1-14.9 LPA - fair for the junior level band and open to discussion based on what you bring.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Compensation includes standard statutory benefits along with performance-linked variable pay.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The organisation has historically promoted from within for a majority of its senior and lead openings. The package is structured with a fixed component, performance bonus, and standard health coverage.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Interested candidates should be prepared to walk through relevant past work during the interview process. The next logical step from this position is a senior or lead-track role within the same function.
Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
You'll be working out of Indore (internship), and honestly, the day-to-day is going to revolve around Privacy and Python. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai security & privacy.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 0 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 8.1-14.9 LPA - fair for the junior level band and open to discussion based on what you bring.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Compensation includes standard statutory benefits along with performance-linked variable pay.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The organisation has historically promoted from within for a majority of its senior and lead openings. The package is structured with a fixed component, performance bonus, and standard health coverage.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Interested candidates should be prepared to walk through relevant past work during the interview process. The next logical step from this position is a senior or lead-track role within the same function.
Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.