AI Engineer

Comviva

Gurugram District

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

Comviva is seeking an AI Engineer (LLM & Voice AI) in Gurugram, India. The role focuses on building next-generation AI systems powered by large language models and voice AI. Candidates should have experience with deploying real-time conversational systems and should be proficient in Python and frameworks like FastAPI or Flask. You will develop applications that enhance user experiences through AI-powered workflows and integrate cutting-edge voice technologies. Join a team that thrives on innovation and real-world impact.

Qualifications

Experience building LLM-based conversational AI applications (chatbots, assistants, agents).
Strong proficiency in Python.
Experience with FastAPI or Flask for building backend services.

Responsibilities

Build and deploy LLM-powered applications including chatbots, assistants, and AI agents.
Develop scalable APIs and services using Python, FastAPI, or Flask.
Implement RAG pipelines using embeddings, vector search, and retrieval systems.

Skills

Building LLM-based conversational AI applications

Strong proficiency in Python

Experience with FastAPI or Flask

Integrating Speech-to-Text and Text-to-Speech systems

Experience with RAG pipelines

Understanding of conversational AI workflows

Tools

Python

FastAPI

Flask

Deepgram

ElevenLabs

Job description

About YABX

Yabx is a global FinTech venture of Mahindra Comviva aimed at simplifying financial access to the 2 Bn+ under‑banked people in the emerging markets of Africa, Asia, and Latin America. We use technology and analytics to reduce the cost of delivering financial services. In doing so, we partner with leading telecom operators, banks, MFIs, credit bureaus, mobile financial providers & handset vendors. Yabx’s mission is to create world‑class innovative products to improve the lives of these people.

Work Location

Gurgaon

Total Experience

2‑5 years

Position

AI Engineer (LLM & Voice AI)

Job Overview

We are building next‑generation AI systems powered by large language models and voice AI. Our focus is on creating real‑time conversational systems, AI agents, and intelligent voice applications used in production environments. We are looking for an AI engineer who enjoys building real systems, not just models — someone who can design and deploy LLM‑powered applications, voice assistants, and real‑time AI pipelines. This role involves working at the intersection of LLMs, real‑time voice systems, telephony infrastructure, and conversational AI workflows.

What You Will Build

LLM‑powered assistants and agents
Voice AI applications (AI calling systems, voice assistants)
Retrieval‑Augmented Generation (RAG) pipelines
Real‑time conversational AI systems
AI‑powered workflows integrated with telephony systems

You will work on production AI systems used in real‑world environments, not research prototypes.

Core Responsibilities

Build and deploy LLM‑powered applications including chatbots, assistants, and AI agents.
Develop scalable APIs and services using Python, FastAPI, or Flask.
Implement RAG pipelines using embeddings, vector search, and retrieval systems.
Integrate Speech‑to‑Text (STT) and Text‑to‑Speech (TTS) technologies.
Design memory and context management systems for conversational AI.
Build real‑time AI interaction systems using WebSockets or streaming APIs.
Monitor and evaluate AI systems using prompt management and observability tools.

Required Skills

Experience building LLM‑based conversational AI applications (chatbots, assistants, agents).
Strong proficiency in Python.
Experience with FastAPI or Flask for building backend services.
Experience integrating Speech‑to‑Text and Text‑to‑Speech systems (Deepgram, ElevenLabs, etc.).
Experience with RAG pipelines, embeddings, and vector search.
Understanding of conversational AI workflows (memory, context, session handling).

Nice to Have