Job Description
An opening exists for an AI Prompt Engineering Trainee to join the Machine Learning vertical, focused on Generative AI. This is a junior level opening based out of Kochi, offered on a full-time basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to generative ai. Day-to-day, the work draws heavily on Python, TensorFlow/PyTorch, Data Preprocessing, Model Evaluation & Tuning, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 10.1-17.5 LPA, in line with market standards for junior level roles within machine learning.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Internal job postings are open to employees who've completed a minimum tenure in their current role.
High performers in this role typically move into a broader ownership scope within 18-24 months. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
References may be requested closer to the offer stage rather than at the start of the process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Learning and certification support is available for tools and frameworks directly relevant to the role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
This role offers a genuine opportunity to build depth in Generative AI while working alongside an experienced team.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to generative ai. Day-to-day, the work draws heavily on Python, TensorFlow/PyTorch, Data Preprocessing, Model Evaluation & Tuning, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 10.1-17.5 LPA, in line with market standards for junior level roles within machine learning.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Internal job postings are open to employees who've completed a minimum tenure in their current role.
High performers in this role typically move into a broader ownership scope within 18-24 months. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
References may be requested closer to the offer stage rather than at the start of the process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Learning and certification support is available for tools and frameworks directly relevant to the role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
This role offers a genuine opportunity to build depth in Generative AI while working alongside an experienced team.