AI Engineer – Generative AI & AI Agents
Listed on 2026-10-06
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software, Backend Developer
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 No
SQL 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
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.
Preferred Experience
Experience with technologies such as:
Python
FastAPI / FlaskLLM APIsRAG frameworks
Vector databases
PostgreSQLRedisREST APIsDocker / Podman
GitCI/CDAWS / Azure / Google Cloud Monitoring and observability platforms
Experience designing or operating production AI systems is a strong advantage.
What You'll Work OnYou may contribute to projects involving:
Enterprise AI assistants AI agents
Enterprise knowledge systems RAG applications
Intelligent document processing
Customer-service automation
Predictive machine learning
Enterprise workflow automation AI integrationsMLOps and LLMOpsAI security and governance
About Neural Xpert Neural Xpert designs, builds, deploys, and supports secure, production-ready enterprise AI solutions across Generative AI, AI Agents, Enterprise RAG, Machine Learning, Intelligent Automation, AI Security, and MLOps.
We focus on helping organizations move from AI experimentation to reliable production systems integrated with their data, applications, and business workflows.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).