Job Description
Artificial Intelligence (AI) is looking for an experienced AI/NLP Engineer – Junior to take ownership of the AI Chatbots charter at a junior 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 0 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Python, AI Chatbots, Statistical Modelling, Computer Vision. 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 Chandigarh on a contract arrangement. Compensation is benchmarked at INR 4.3-17.7 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 ai chatbots.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The next logical step from this position is a senior or lead-track role within the same function. The package is structured with a fixed component, performance bonus, and standard health coverage.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. References may be requested closer to the offer stage rather than at the start of the process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
The successful candidate will bring approximately 0 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Python, AI Chatbots, Statistical Modelling, Computer Vision. 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 Chandigarh on a contract arrangement. Compensation is benchmarked at INR 4.3-17.7 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 ai chatbots.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The next logical step from this position is a senior or lead-track role within the same function. The package is structured with a fixed component, performance bonus, and standard health coverage.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. References may be requested closer to the offer stage rather than at the start of the process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.