AI Engineer – Enterprise AI Platform & Reusable Components

GBIT (Global Bridge InfoTech Inc); Hyderabad; Sur place; INR 1 500 000 - 2 300 000; Plein temps

Résumé du poste

GBIT (Global Bridge InfoTech Inc) seeks an experienced AI Engineer to build a scalable, enterprise-grade AI platform with reusable, configurable components. You will design modular AI services, deploy on cloud, and ensure security, monitoring, and maintainability across multiple projects and clients.

The role emphasizes hands-on development with Python, Generative AI, LLMs, and modern deployment pipelines using Docker and CI/CD.

Qualifications

• Strong hands-on experience with Generative AI, LLMs, and AI application development.
• Experience with RAG, embeddings, vector databases, and LangChain/LangGraph/LlamaIndex.
• Knowledge of APIs, microservices, modular architecture, and reusable components.
• Experience with cloud platforms and production deployments (Docker/CI/CD).
• Understanding of AI security, governance, monitoring, and performance optimization.

Responsabilités

• Design and develop reusable AI components, LLM services, AI agents, and intelligent workflows.
• Build plug-and-play AI modules using Python, Generative AI, LLMs, RAG, and prompt engineering.
• Develop REST APIs and microservices for enterprise integration.
• Ensure scalability, security, configurability, versioning, monitoring, and maintainability.
• Deploy and optimize production-ready AI services on cloud platforms using Docker and CI/CD.
• Collaborate with engineering teams to establish reusable architecture and enterprise standards.

Connaissances

Generative AI

LLMs

AI application development

RAG

embeddings

vector databases

APIs

microservices

modular architecture

security & governance

monitoring & performance

Outils

LangChain

LangGraph

LlamaIndex

Python

Docker

CI/CD

Azure

AWS

GCP

REST APIs

Description du poste

We are looking for an experienced AI Engineer to build a scalable, enterprise-grade AI platform with reusable, modular, and configurable AI capabilities.

The goal is to develop components once and enable teams to configure, integrate, and reuse them across multiple projects, clients, and applications, reducing development time, cost, and duplication.

Key Responsibilities:

• Design and develop reusable AI components, LLM services, AI agents, and intelligent workflows.
• Build plug-and-play AI modules using Python, Generative AI, LLMs, RAG, and prompt engineering.
• Develop REST APIs and microservices for seamless integration with enterprise applications.
• Ensure scalability, security, configurability, versioning, monitoring, and maintainability.
• Deploy and optimize production-ready AI services on cloud platforms using Docker and CI/CD.
• Collaborate with engineering teams to establish reusable architecture and enterprise development standards.

Required Skills:

• Strong hands-on experience with Generative AI, LLMs, and AI application development.
• Experience with RAG, embeddings, vector databases, and frameworks such as LangChain, LangGraph, or LlamaIndex.
• Strong knowledge of APIs, microservices, modular architecture, and reusable components.
• Experience with Azure/AWS/GCP, Docker, CI/CD, and production deployments.
• Understanding of AI security, governance, monitoring, and performance optimization.

Preferred: Experience building enterprise AI platforms, reusable AI services, AI agents, or configurable SaaS solutions.

Ideal Candidate: A hands-on AI Engineer capable of transforming AI capabilities into secure, scalable, reusable components that can be easily configured and deployed across multiple business use cases.