Job Description
An opening exists for a Junior Chatbot Integration Engineer to join the Artificial Intelligence (AI) vertical, focused on AI Chatbots. This is a junior level opening based out of Ahmedabad, offered on a full-time (wfh) basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to ai chatbots. Day-to-day, the work draws heavily on Statistical Modelling, Model Deployment (MLOps), Machine Learning, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 10.2-24.6 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
Internal job postings are open to employees who've completed a minimum tenure in their current role. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Interested candidates should be prepared to walk through relevant past work during the interview process.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
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.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to ai chatbots. Day-to-day, the work draws heavily on Statistical Modelling, Model Deployment (MLOps), Machine Learning, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 10.2-24.6 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
Internal job postings are open to employees who've completed a minimum tenure in their current role. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Interested candidates should be prepared to walk through relevant past work during the interview process.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
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.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.