AI Engineer – Generative AI & AI Agents

Job Description

Neural Xpert is looking for an AI Engineer to design, build, and deploy secure, production-ready AI solutions using Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and Machine Learning.

In this role, you will work on enterprise AI applications that connect intelligent models with organizational data, APIs, applications, and business workflows. You will contribute to solutions such as enterprise AI assistants, knowledge systems, intelligent document processing, customer-service automation, workflow automation, and AI-powered integrations.

The ideal candidate has strong Python development skills, practical experience building AI/ML applications, and a solid understanding of LLMs, RAG, embeddings, vector search, APIs, databases, cloud platforms, and modern software-development practices.

You will have the opportunity to work on real-world AI systems and help organizations move from AI experimentation to reliable, scalable, and secure production solutions.

Responsibilities

As an AI Engineer at Neural Xpert, you will contribute to the design, development, deployment, and support of production-ready enterprise AI solutions.

You may work across Generative AI, AI Agents, Enterprise RAG, Machine Learning, Intelligent Automation, AI Security, and MLOps.

Experience

3+ years of software engineering, machine learning, data engineering, or related technical experience, with practical experience building AI/ML applications.

Hands-on experience delivering Generative AI, RAG, AI agent, or machine learning solutions is highly desirable.

Requirements

• Strong Python development skills
• Experience building AI/ML applications
• Experience working with LLMs and Generative AI
• Understanding of Retrieval-Augmented Generation (RAG)
• Experience integrating REST APIs and enterprise systems
• Knowledge of prompt engineering and structured model outputs
• Understanding of embeddings, vector search, and semantic retrieval
• Experience with relational and/or NoSQL databases
• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud
• Understanding of Git and modern software-development workflows
• Knowledge of containers such as Docker or Podman
• Understanding of application security and secure API design
• Ability to troubleshoot complex technical problems
• Strong communication and documentation skills

Preferred Experience

Experience with technologies such as:

• Python
• FastAPI / Flask
• LLM APIs
• RAG frameworks
• Vector databases
• PostgreSQL
• Redis
• REST APIs
• Docker / Podman
• Git
• CI/CD
• AWS / Azure / Google Cloud
• Monitoring and observability platforms

Experience designing or operating production AI systems is a strong advantage.