Job Description
We are looking to onboard a Conversational AI Software Developer to strengthen our Conversational AI function within Artificial Intelligence (AI). This is a mid level opening based out of Bhubaneswar, offered on a contract basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 6 years of hands-on exposure to conversational ai. Day-to-day, the work draws heavily on Statistical Modelling, Cloud Platforms (AWS/GCP/Azure), Conversational AI, Natural Language Processing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 17.2-38.4 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
References may be requested closer to the offer stage rather than at the start of the process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The organisation has historically promoted from within for a majority of its senior and lead openings.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Learning and certification support is available for tools and frameworks directly relevant to the role. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. 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.
The package is structured with a fixed component, performance bonus, and standard health coverage. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
This role offers a genuine opportunity to build depth in Conversational AI while working alongside an experienced team.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 6 years of hands-on exposure to conversational ai. Day-to-day, the work draws heavily on Statistical Modelling, Cloud Platforms (AWS/GCP/Azure), Conversational AI, Natural Language Processing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 17.2-38.4 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
References may be requested closer to the offer stage rather than at the start of the process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The organisation has historically promoted from within for a majority of its senior and lead openings.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Learning and certification support is available for tools and frameworks directly relevant to the role. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. 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.
The package is structured with a fixed component, performance bonus, and standard health coverage. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
This role offers a genuine opportunity to build depth in Conversational AI while working alongside an experienced team.