Senior AI/ML Application Engineer

Role Name: Senior AI/ML Application Engineer

At Kapture CX, we are looking for a Senior AI/ML Application Engineer in our Engineering 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?

We are looking for a Senior AI/ML Application Engineer with deep expertise in RAG pipelines, LLM fine-tuning, and agentic AI frameworks to join our core AI platform team. You will own the design, development, and production deployment of AI-driven products — including voice bots and chat bots — that serve enterprise clients at scale. This is a high-ownership, hands-on engineering role with direct impact on product outcomes.

Sounds interesting?

Here’s a more detailed description of what you will do in this role:

• You will design and build production-grade RAG pipelines and fine-tune large language models to power intelligent voice and chat bot experiences for enterprise customers.
• You will architect and ship scalable RESTful APIs using FastAPI, owning the complete lifecycle from design and development through testing and production deployment.
• You will work with LangChain and LangGraph to create sophisticated, multi-step agentic AI workflows that handle complex, real-world customer interactions.
• You will own the productionization of AI models end-to-end — ensuring they are reliable, observable, and performing at enterprise scale on Kubernetes-based infrastructure.
• You will collaborate closely with product, data science, and DevOps teams to define architecture, shape the roadmap, and directly influence how AI evolves at Kapture.

This is a Bangalore 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 will have successfully shipped AI-powered voice and chat bot features that enterprise clients rely on at scale, with measurable improvements in reliability and performance. Within the first six months, you will be a go-to engineer for AI architecture decisions and a multiplier for the team around you.

What would make you a good fit for this role?

Here are the basic requirements:

• 3–7 years of experience in Python engineering, Hands-on experience building RAG applications and fine-tuning LLMs in production environments.
• Proficient with FastAPI and comfortable across MongoDB, PostgreSQL, and MySQL.
• Experienced with Kubernetes and have taken AI models from prototype to stable production.

What are the most critical skills for this role?

• Strong Python fundamentals: async, clean code, API design, and test coverage.
• Practical depth in LangChain and/or LangGraph — you’ve built multi-step agentic systems, not just read the docs.
• System design instinct for high-volume, enterprise-scale workloads.
• End-to-end ownership mindset — you drive features from spec to monitoring without hand-holding

You will have an advantage if you:

• Have built voice bots or conversational AI products and can speak to the challenges of deploying them at scale — covering latency, accuracy, fallback handling, and enterprise integration.
• Have experience with MLOps tooling, model observability, and A/B evaluation frameworks that keep AI systems performing reliably over time.
• Can articulate the scale of projects you have worked on — number of enterprise customers served, volume of interactions handled, and the architectural decisions made to get there.

Why should you be interested?

Here’s what you will gain from this role:

• Real ownership — your AI systems will serve enterprise clients across 18 countries.
• Cutting-edge work — LLMs, RAG, and agentic AI in a high-stakes, real-product environment.
• Fast growth — Kapture is scaling rapidly and technical leadership opportunities are real.