Job Description
## AI Solution Engineer
**Department:** AI Research & Development | **Industry:** Artificial Intelligence (AI)
**Location:** Remote (Pan India) | **Job Type:** Full-time (WFH) | **CTC:** INR 25.0-49.5 LPA
### Role Overview
An opening exists for an AI Solution Engineer to join the Artificial Intelligence (AI) vertical, focused on AI Research & Development. The role is positioned at the mid level and reports into the broader AI Research & Development charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai research & development.
- Apply working knowledge of Development and Python to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (AI/ML) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: Development, Python, Data Preprocessing, AI Research, Natural Language Processing.
### Additional Notes
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The package is structured with a fixed component, performance bonus, and standard health coverage. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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. 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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Internal job postings are open to employees who've completed a minimum tenure in their current role. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
**Department:** AI Research & Development | **Industry:** Artificial Intelligence (AI)
**Location:** Remote (Pan India) | **Job Type:** Full-time (WFH) | **CTC:** INR 25.0-49.5 LPA
### Role Overview
An opening exists for an AI Solution Engineer to join the Artificial Intelligence (AI) vertical, focused on AI Research & Development. The role is positioned at the mid level and reports into the broader AI Research & Development charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai research & development.
- Apply working knowledge of Development and Python to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (AI/ML) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: Development, Python, Data Preprocessing, AI Research, Natural Language Processing.
### Additional Notes
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The package is structured with a fixed component, performance bonus, and standard health coverage. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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. 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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Internal job postings are open to employees who've completed a minimum tenure in their current role. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.