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# AI/ML Solutions Engineer

- **Company:** Artmac Soft LLC
- **Location:** Prosper, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Automated Storage and Retrieval Systems, Microsoft Azure, Business Software, Cloud Computing, Databases, Continuous Integration, DevOps, JSON, Python (Programming Language), Machine Learning, Software Engineering, Systems Integration, Data Logging, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Generative AI, Backend, Containerization, AI Platforms, Kubernetes, Restful APIs, Docker, Microservices
- **Published:** September 30, 2026
- **Apply:** https://www.careerjet.com/jobad/us468894620b09e883a8b17e3f22ce766a

## About the Role

* 8+ years of experience in software engineering, AI/ML engineering, solutions engineering, or related fields.
 * Strong experience with AI/ML application development.
 * Experience working with LLM APIs and Generative AI services.
 * Hands-on experience with RAG architectures.
 * Strong experience with REST APIs, JSON, and enterprise integrations.
 * Experience developing backend services and microservices.
 * Experience with cloud platforms such as AWS, Azure, or Google Cloud.
 * Experience with Python, Docker, and Kubernetes.
 * Strong understanding of CI/CD and DevOps practices.
 * Design and develop production-ready AI/ML applications and services.
 * Build AI-powered applications using Python and modern AI/ML technologies.
 * Integrate LLM and AI services using LLM APIs and REST APIs.
 * Develop RAG-based applications using LLMs, embeddings, retrieval systems, and vector databases.
 * Build backend services and microservices that support AI applications.
 * Integrate AI applications with enterprise systems, databases, CRM, ERP, and other business applications.
 * Develop APIs and integration services using REST, JSON, and related technologies.
 * Deploy AI/ML applications across cloud and enterprise environments.
 * Containerize applications using Docker and deploy them using Kubernetes.
 * Develop monitoring, logging, testing, and troubleshooting processes for production AI systems.

Qualification:
Bachelor's degree or equivalent combination of education and experience.