Job Description
**Principal Generative AI Engineer** | Hybrid - Bengaluru | Full-time | INR 34.8-95.4 LPA
**About the role:**
- Position within Generative AI, under the Machine Learning vertical
- Level: senior level
- Reports to the functional head for Generative AI
**What you'll do:**
- Handle core generative ai activities on a day-to-day basis
- Use Machine Learning Algorithms 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:**
- Machine Learning Algorithms
- Statistical Modelling
- MLOps
- Cloud Platforms (AWS/GCP)
- Generative AI
- Data Preprocessing
- Feature Engineering
- Python
- Computer Vision/NLP Basics
- M.Sc (Data Science)
- 16+ years of relevant experience
**Good to know:**
- 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.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Compensation includes standard statutory benefits along with performance-linked variable pay.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. High performers in this role typically move into a broader ownership scope within 18-24 months.
- The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
- Internal job postings are open to employees who've completed a minimum tenure in their current role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
- References may be requested closer to the offer stage rather than at the start of the process. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- 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.
- Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Learning and certification support is available for tools and frameworks directly relevant to the role. Interested candidates should be prepared to walk through relevant past work during the interview process.
**About the role:**
- Position within Generative AI, under the Machine Learning vertical
- Level: senior level
- Reports to the functional head for Generative AI
**What you'll do:**
- Handle core generative ai activities on a day-to-day basis
- Use Machine Learning Algorithms 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:**
- Machine Learning Algorithms
- Statistical Modelling
- MLOps
- Cloud Platforms (AWS/GCP)
- Generative AI
- Data Preprocessing
- Feature Engineering
- Python
- Computer Vision/NLP Basics
- M.Sc (Data Science)
- 16+ years of relevant experience
**Good to know:**
- 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.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Compensation includes standard statutory benefits along with performance-linked variable pay.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. High performers in this role typically move into a broader ownership scope within 18-24 months.
- The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
- Internal job postings are open to employees who've completed a minimum tenure in their current role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
- References may be requested closer to the offer stage rather than at the start of the process. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- 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.
- Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Learning and certification support is available for tools and frameworks directly relevant to the role. Interested candidates should be prepared to walk through relevant past work during the interview process.