Job Description
**AI Chatbot Implementation Engineer** | Mumbai | Hybrid | INR 19.1-50.9 LPA
**About the role:**
- Position within AI Chatbots, under the Artificial Intelligence (AI) vertical
- Level: mid level
- Reports to the functional head for AI Chatbots
**What you'll do:**
- Handle core ai chatbots activities on a day-to-day basis
- Use AI Chatbots regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- AI Chatbots
- Machine Learning
- Natural Language Processing
- Deep Learning
- Model Deployment (MLOps)
- Cloud Platforms (AWS/GCP/Azure)
- Data Preprocessing
- Python
- M.Tech (AI/ML)
- 4+ years of relevant experience
**Good to know:**
- The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- 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.
- Relocation assistance may be extended for candidates moving from a different city, subject to approval. The next logical step from this position is a senior or lead-track role within the same function.
- Learning and certification support is available for tools and frameworks directly relevant to the role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
- Interested candidates should be prepared to walk through relevant past work during the interview process. 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.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Internal job postings are open to employees who've completed a minimum tenure in their current role.
- Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
- 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.
**About the role:**
- Position within AI Chatbots, under the Artificial Intelligence (AI) vertical
- Level: mid level
- Reports to the functional head for AI Chatbots
**What you'll do:**
- Handle core ai chatbots activities on a day-to-day basis
- Use AI Chatbots regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- AI Chatbots
- Machine Learning
- Natural Language Processing
- Deep Learning
- Model Deployment (MLOps)
- Cloud Platforms (AWS/GCP/Azure)
- Data Preprocessing
- Python
- M.Tech (AI/ML)
- 4+ years of relevant experience
**Good to know:**
- The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- 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.
- Relocation assistance may be extended for candidates moving from a different city, subject to approval. The next logical step from this position is a senior or lead-track role within the same function.
- Learning and certification support is available for tools and frameworks directly relevant to the role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
- Interested candidates should be prepared to walk through relevant past work during the interview process. 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.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Internal job postings are open to employees who've completed a minimum tenure in their current role.
- Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
- 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.