Job Description
Artificial Intelligence (AI) is looking for an experienced Generative AI Systems Engineer to take ownership of the Generative AI charter at a mid level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 7 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Generative AI, Deep Learning, Python, Statistical Modelling, Machine Learning. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Lucknow on a full-time arrangement. Compensation is benchmarked at INR 19.9-49.0 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within generative ai.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Learning and certification support is available for tools and frameworks directly relevant to the role.
Interested candidates should be prepared to walk through relevant past work during the interview process. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The next logical step from this position is a senior or lead-track role within the same function.
References may be requested closer to the offer stage rather than at the start of the process. Compensation includes standard statutory benefits along with performance-linked variable pay.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role.
The successful candidate will bring approximately 7 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Generative AI, Deep Learning, Python, Statistical Modelling, Machine Learning. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Lucknow on a full-time arrangement. Compensation is benchmarked at INR 19.9-49.0 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within generative ai.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Learning and certification support is available for tools and frameworks directly relevant to the role.
Interested candidates should be prepared to walk through relevant past work during the interview process. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The next logical step from this position is a senior or lead-track role within the same function.
References may be requested closer to the offer stage rather than at the start of the process. Compensation includes standard statutory benefits along with performance-linked variable pay.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role.