AI Engineer
GBIT (Global Bridge InfoTech Inc)
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.
Requirements & Tech Stack
- 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.
Qualifications
- 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.


