Artificial Intelligence Engineer

EdgeVerve; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

EdgeVerve seeks an AI & Python Developer to build GenAI, RAG, and Agentic AI features for the AI Next platform. You will design and deploy scalable backend services, integrate LLMs and vector databases, and implement robust testing, monitoring, and observability.

The role focuses on Python-based backend development, API design, and containerized deployment using Docker and Kubernetes in enterprise environments.

Qualifications

• Strong experience in Python-based backend development.
• Experience with GenAI, RAG, and AI Assistant implementations.

Responsibilities

• Develop AI Next platform services and product features.

Skills

Python backend

GenAI

RAG

Agentic AI

AI Assistant

LLMs

Prompt Engineering

Microservices

REST APIs

Cloud platforms

Tools

Docker

Kubernetes

Vector Databases

OpenAI API

Job description

Job Description: AI & Python Developer (3-5 Years Experience)

Immediate candidate and serving Notice period candidates will be given the first priority

About the Company:

About EdgeVerve

EdgeVerve Systems Limited (a wholly owned subsidiary of Infosys) builds AI-, automation-, and analytics-led digital platforms that help enterprises transform operations at scale, with security and scalability at the core

About AI Next

EdgeVerve AI Next is a unified platform designed to scale Applied AI across the enterprise, built from the ground up to leverage Generative AI and bridge silos across people, processes, data, and technology to drive transformation in business operations.

AI Next also includes platform capabilities that support flexible model choices and enterprise-ready foundations for secure, scalable deployments

Role Overview

Develop AI Next platform services and product features by building GenAI, RAG, Agentic AI, and AI Assistant capabilities. Design and develop APIs and microservices, integrate LLMs, vector databases, and enterprise systems, and implement testing, monitoring, and observability. The role also involves AI model development, building and training models for specific business use cases, and leveraging LLM technologies such as ChatGPT/OpenAI to create GenAI solutions through prompt engineering and related capabilities.

Key Responsibilities

• Develop AI Next platform services and product features.
• Build and enhance GenAI, RAG (Retrieval-Augmented Generation), Agentic AI, and AI Assistant capabilities.
• Design, develop, and maintain REST APIs and microservices.
• Integrate LLMs, vector databases, and enterprise applications/systems.
• Develop AI models and train models for specific business purposes and use cases.
• Identify and implement use cases that can leverage LLM technologies such as ChatGPT/OpenAI.
• Build capabilities around Prompt Engineering and Generative AI.
• Implement testing, monitoring, logging, and observability for AI applications and services.
• Develop scalable and secure backend services using Python frameworks.
• Collaborate with cross-functional teams to deliver AI-powered solutions.
• Deploy and manage applications using containerization and orchestration platforms.

Required Skills

Preferred Candidate Profile

• Strong experience in Python-based backend development.
• Hands-on experience with GenAI, RAG, Agentic AI, and AI Assistant implementations.
• Experience working with LLMs, vector databases, and prompt engineering.
• Knowledge of Docker, Kubernetes, and microservices architecture.
• Experience building and training AI models for domain-specific use cases.
• Ability to design and develop scalable, production-grade AI solutions.