Job Description
We're hiring an AI Software Engineer to join our growing AI Research & Development team - if this sounds like your kind of work, read on.
You'll be working out of Kolkata (full-time), and honestly, the day-to-day is going to revolve around Deep Learning and Cloud Platforms (AWS/GCP/Azure). We're not looking for someone who just ticks boxes - we want someone who actually cares about ai research & development.
On paper, we'd expect M.Tech (AI/ML) and somewhere around 5 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 10.0-24.9 LPA - fair for the mid level band and open to discussion based on what you bring.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation has historically promoted from within for a majority of its senior and lead openings.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
You'll be working out of Kolkata (full-time), and honestly, the day-to-day is going to revolve around Deep Learning and Cloud Platforms (AWS/GCP/Azure). We're not looking for someone who just ticks boxes - we want someone who actually cares about ai research & development.
On paper, we'd expect M.Tech (AI/ML) and somewhere around 5 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 10.0-24.9 LPA - fair for the mid level band and open to discussion based on what you bring.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation has historically promoted from within for a majority of its senior and lead openings.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.