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At Kapture CX, we are looking for a Senior Machine Learning Engineer (GenAI) in our Engineering / AI team.
Who are we
Kapture CX is a leading SaaS platform that helps enterprises automate and elevate customer experience through intelligent, AI-powered solutions. We partner with enterprises across industries to bring scalable automation and insight-driven efficiencies to their CX operations. Over a thousand clients across 18 countries have used Kapture's products to enhance their customer experience, including Unilever, Reliance, Coca-Cola, Bigbasket, Meesho, Airtel Payments Bank and Cathay Pacific.
Kapture delivers industry-specific solutions powered by AI, tailored workflows, and seamless automation.
Kapture CX is headquartered in Bangalore and we have offices in Mumbai and Delhi/NCR in India, in addition to offices in the USA, UAE, Singapore, Philippines and Indonesia.
What is this role all about
This role puts you at the heart of building next-generation GenAI solutions that power real-world customer experience products. You'll work on large-scale, high-impact AI systems ranging from LLMs and multimodal models to voice and vision while solving complex problems at scale.
If you enjoy pushing the boundaries of applied GenAI and seeing your work directly influence enterprise products, this role is for you.
Sounds interesting
Here's a more detailed description of what you will do in this role:
This is a Bengaluru-based role.
We work five days a week from the office, as we believe in-person interactions fuel innovation and agility.
What does success look like in this role
You successfully ship scalable GenAI solutions that meet product goals, improve customer experience metrics, and perform reliably in production at enterprise scale.
What would make you a good fit for this role
Here are the basic requirements:
What are the most critical skills for this role
You will have an advantage if you:
Why should you be interested
Here's what you will gain from this role:
Does this sound like you
Click the Apply button to let us know!
Job ID: 137433915