Job Description
**AI Platform Engineer** — Computer Software / AI/ML Engineering (Mid-Level)
- **Location:** Kolkata
- **CTC:** ₹13.5 - ₹14.7 LPA
- **Experience required:** 4-7 years
- **Education:** MCA / M.Tech Computer Science
- **Job type:** Full-Time
- **Posted on:** 14-Jul-2026
**What you'll work on:**
- Applying Version Control (Git) in day-to-day work within the AI/ML Engineering function
- Applying Unit Testing in day-to-day work within the AI/ML Engineering function
- Applying System Design basics in day-to-day work within the AI/ML Engineering function
- Applying Database Management (SQL) in day-to-day work within the AI/ML Engineering function
- Applying Data Structures & Algorithms in day-to-day work within the AI/ML Engineering function
- Applying Agile/Scrum in day-to-day work within the AI/ML Engineering function
- Applying Debugging & Troubleshooting in day-to-day work within the AI/ML Engineering function
**What we're looking for:**
- Someone comfortable operating in a product engineering team shipping software used by real customers at scale
- Strong grip on the fundamentals of ai/ml engineering
- Ability to work full-time out of Kolkata
**A few more things:**
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
Interested candidates who meet the above criteria are encouraged to apply.
- **Location:** Kolkata
- **CTC:** ₹13.5 - ₹14.7 LPA
- **Experience required:** 4-7 years
- **Education:** MCA / M.Tech Computer Science
- **Job type:** Full-Time
- **Posted on:** 14-Jul-2026
**What you'll work on:**
- Applying Version Control (Git) in day-to-day work within the AI/ML Engineering function
- Applying Unit Testing in day-to-day work within the AI/ML Engineering function
- Applying System Design basics in day-to-day work within the AI/ML Engineering function
- Applying Database Management (SQL) in day-to-day work within the AI/ML Engineering function
- Applying Data Structures & Algorithms in day-to-day work within the AI/ML Engineering function
- Applying Agile/Scrum in day-to-day work within the AI/ML Engineering function
- Applying Debugging & Troubleshooting in day-to-day work within the AI/ML Engineering function
**What we're looking for:**
- Someone comfortable operating in a product engineering team shipping software used by real customers at scale
- Strong grip on the fundamentals of ai/ml engineering
- Ability to work full-time out of Kolkata
**A few more things:**
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
Interested candidates who meet the above criteria are encouraged to apply.