Job Description
Artificial Intelligence (AI) is looking for an experienced Dialogue Systems Engineer – Mid-level to take ownership of the AI Chatbots 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 6 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Model Deployment (MLOps), AI Chatbots, Natural Language Processing, Computer Vision, Python. 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 Kochi on a full-time arrangement. Compensation is benchmarked at INR 19.4-35.6 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.
High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Compensation includes standard statutory benefits along with performance-linked variable pay.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The successful candidate will bring approximately 6 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Model Deployment (MLOps), AI Chatbots, Natural Language Processing, Computer Vision, Python. 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 Kochi on a full-time arrangement. Compensation is benchmarked at INR 19.4-35.6 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.
High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Compensation includes standard statutory benefits along with performance-linked variable pay.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Most days include at least one review checkpoint where progress is discussed against the plan for the week.