AI Engineer – Enterprise AI Platform

GBIT (Global Bridge InfoTech Inc); Irving (TX); On-site; USD 120,000 - 210,000; Full time

Job summary

GBIT (Global Bridge InfoTech Inc) is seeking an experienced AI Engineer to design and implement a scalable, enterprise-grade AI platform. You will build modular, configurable AI capabilities, deploy production services, and establish reusable architectures across multiple projects and clients.

You will work with LangChain/LangGraph, LangIndex, and cloud providers to deliver secure, reusable components, APIs, and microservices that accelerate development and reduce duplication.

Qualifications

• Experience with Generative AI, LLMs, and AI application development.
• Familiarity with RAG, embeddings, and vector databases.
• Knowledge of API-driven, modular architectures and reusable components.
• Hands-on with cloud platforms and containerization (Docker).
• Experience deploying production AI services with CI/CD pipelines.
• Understanding of AI security, governance, monitoring, and performance optimization.

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 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 to establish reusable architecture and enterprise development standards.

Skills

Generative AI

LLMs

RAG

Embeddings

APIs

Microservices

Cloud deployment

CI/CD

Security

Tools

LangChain

LangGraph

LlamaIndex

Docker

Azure

AWS

GCP

Job description

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.