Tech Lead- AI/ML Applications Engineer

Kapture; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Kapture seeks a Tech Lead- AI/ML Application Engineer to own design, development, and deployment of AI-driven products such as voice and chat bots for enterprise clients. You will build production-grade RAG pipelines, fine-tune LLMs, and ship scalable RESTful APIs with FastAPI on Kubernetes.

You will work with LangChain/LangGraph to craft multi-step AI workflows, collaborate with product, data science, and DevOps teams, and influence AI roadmap at Kapture from Bangalore-based offices.

Qualifications

• 5–7 years of Python engineering experience in production environments.
• Hands-on experience building RAG applications and fine-tuning LLMs.
• Proficient with FastAPI and databases (MongoDB, PostgreSQL, MySQL).
• Experience with Kubernetes and deploying AI models to production.

Responsibilities

• Design and build production-grade RAG pipelines and fine-tune LLMs for enterprise bots.
• Architect and ship scalable RESTful APIs using FastAPI across services.
• Work with LangChain/LangGraph to create multi-step agentic AI workflows.
• Own productionization of AI models end-to-end on Kubernetes-based infra.
• Collaborate with product, data science, and DevOps to shape AI roadmap.

Skills

Python

RAG pipelines

LLM fine-tuning

FastAPI

LangChain

LangGraph

APIs design

Kubernetes

Tools

MongoDB

PostgreSQL

MySQL

FastAPI

LangChain

LangGraph

Kubernetes

Job description

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 Tech Lead- 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:

• 5–7 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.
• 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.

Required Skills

backend RAG pipelines Agentic AI GenAI AI/ML ML Ops coding Voicebots API langchain