Job Description
Position: AI Chatbot Engineer
Function: Conversational AI
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Jaipur
Employment Type: Full-time
Compensation: INR 25.3-50.8 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with conversational ai, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 6 years
Core Competencies Required: TensorFlow/PyTorch, Neural Network Architectures, Conversational AI, Python, Statistical Modelling
Further Information:
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Internal job postings are open to employees who've completed a minimum tenure in their current role. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Interested candidates should be prepared to walk through relevant past work during the interview process. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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. The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation has historically promoted from within for a majority of its senior and lead openings. References may be requested closer to the offer stage rather than at the start of the process. Learning and certification support is available for tools and frameworks directly relevant to the role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Function: Conversational AI
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Jaipur
Employment Type: Full-time
Compensation: INR 25.3-50.8 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with conversational ai, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 6 years
Core Competencies Required: TensorFlow/PyTorch, Neural Network Architectures, Conversational AI, Python, Statistical Modelling
Further Information:
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Internal job postings are open to employees who've completed a minimum tenure in their current role. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Interested candidates should be prepared to walk through relevant past work during the interview process. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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. The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation has historically promoted from within for a majority of its senior and lead openings. References may be requested closer to the offer stage rather than at the start of the process. Learning and certification support is available for tools and frameworks directly relevant to the role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.