Description :

At Kapture CX, we are looking for an AI / ML Lead (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 Kaptures 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 places you at the forefront of leading and scaling next-generation GenAI systems that power real-world customer experience products. As an AI / ML Lead, you will define technical direction, drive architectural decisions, and mentor engineers while building high-impact AI solutions.

You will work on large-scale, production-grade AI systems ranging from LLMs and multimodal models to voice and vision, while ensuring reliability, performance, and scalability at enterprise scale.

If you enjoy owning AI strategy end-to-end and seeing your work directly influence enterprise products, this role is for you.

Sounds interesting?

Heres a more detailed description of what you will do in this role :

- You will lead the design, development, and deployment of Generative AI models, LLMs, and transformer-based architectures for CX-focused products

- You will define and own scalable ML architectures and pipelines for data processing, training, evaluation, and production deployment

- You will mentor and guide ML engineers, setting best practices for model development, optimization, and production readiness

- You will optimize model inference using frameworks like vLLM, Triton, and TensorRT to improve performance and reduce latency

- You will work on multimodal AI systems, including audio, image encoders, vision-language models, ASR, and TTS

- You will collaborate closely with product, engineering, and data teams to translate business needs into robust, scalable AI solutions

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 and scale GenAI solutions that meet product goals, improve customer experience metrics, and perform reliably in production at enterprise scale, while building a strong and high-performing ML team.

What would make you a good fit for this role?

Here are the basic requirements :

- You have 8+ years of hands-on experience building and deploying ML or deep learning models, with experience leading or mentoring teams

- You hold a Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field

- You are comfortable working in fast-paced, product-driven environments

- You bring strong problem-solving, technical leadership, and cross-team collaboration skills

What are the most critical skills for this role?

- You have strong programming skills in Python and experience with PyTorch, TensorFlow, or JAX

- You have a deep understanding of transformers, LLMs, attention mechanisms, and GenAI training pipelines

- You have hands-on experience with model optimization, GPU acceleration, and inference frameworks

- You can train, fine-tune, evaluate, and productionize large-scale deep learning and GenAI models

You will have an advantage if you :

- Have worked with vLLM, Triton, TensorRT, or similar high-performance inference systems

- Have experience building or integrating ASR (speech-to-text) and TTS (text-to-speech) systems

- Have hands-on exposure to multimodal architectures involving vision, language, and audio

- Have deployed ML models on AWS, GCP, or Azure

Why should you be interested?

Heres what you will gain from this role :

- Ownership of high-impact GenAI systems used by global enterprise customers

- The opportunity to shape the AI/ML roadmap for a fast-growing SaaS platform

- Exposure to cutting-edge AI research applied to real-world CX problems

- A collaborative environment that values technical depth, leadership, and innovation