> Markdown version of [/jobs/ext/4298062-ai-implementation-engineer](https://www.wearedevelopers.com/jobs/ext/4298062-ai-implementation-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Implementation Engineer - **Company:** Artmac Soft LLC - **Location:** Prosper, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Computer Programming, Databases, Software Debugging, Hypertext Transfer Protocols (HTTP), JSON, Python (Programming Language), Machine Learning, Azure Machine Learning, Software Engineering, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Software Troubleshooting, Llamaindex, Generative AI, Restful APIs - **Published:** October 7, 2026 - **Apply:** https://www.careerjet.com/jobad/us08f4666d275800e69d7cff690ae9518f ## About the Role * 8+ years of experience in software engineering and AI implementation, * Strong hands-on programming experience with Python and/or JavaScript. * Strong understanding of REST APIs, JSON, HTTP, authentication, and API integration patterns. * Experience integrating AI/ML services and LLM APIs into enterprise applications. * Understanding of Generative AI and LLM application development. * Familiarity with LangChain, LlamaIndex, or similar AI application frameworks * Basic understanding of RAG architecture, including document ingestion and embeddings. * Implement and configure AI and Generative AI solutions based on business and technical requirements. * Develop integration components and supporting services using Python and/or JavaScript. * Design and integrate REST APIs and third-party AI/LLM APIs with enterprise applications. * Configure AI models, prompts, workflows, parameters, and application-level AI capabilities. * Support implementation of LLM-based applications and AI-powered business solutions. * Apply fundamental RAG (Retrieval-Augmented Generation) concepts for enterprise AI use cases. * Strong troubleshooting and debugging skills across application, API, database, and deployment layers. Qualification: Bachelor's degree or equivalent combination of education and experience.