AI Engineer – Generative AI & AI Agents

Neural Xpert is looking for an AI Engineer to design, build, integrate, and deploy production-ready enterprise AI solutions. You will work across Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), machine learning, enterprise integrations, and intelligent automation. This role is focused on turning AI concepts and prototypes into secure, scalable systems that integrate with enterprise data, applications, APIs, and business workflows. You will collaborate with engineering, cloud, security, and business teams throughout the AI lifecycle—from architecture and experimentation through evaluation, deployment, monitoring, and

Design and develop enterprise Generative AI applications Build AI agents and agentic workflows Design and implement enterprise RAG solutions Integrate AI systems with databases, APIs, documents, and enterprise applications Develop secure backend services and AI APIs Implement document ingestion, chunking, embedding, retrieval, and knowledge pipelines Evaluate model quality, accuracy, reliability, latency, and cost Implement AI guardrails and appropriate human oversight Work with cloud and infrastructure teams on production deployments Implement logging, monitoring, observability, and failure handling Support model and application versioning and rollback strategies Optimize AI applications for reliability, scalability, performance, and cost Apply security-by-design principles throughout the AI lifecycle Document architectures, APIs, workflows, and operational procedures Research and evaluate emerging AI models, frameworks, and engineering approaches

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

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 / 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. What You'll Work On You 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 integrations MLOps and LLMOps AI 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.