> Markdown version of [/jobs/ext/3750043-gen-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3750043-gen-ai-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). --- # Gen AI Engineer - **Company:** SumasEdge Corporation - **Location:** Irving, TX, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Review, Data Cleansing, Python (Programming Language), Machine Learning, Tensorflow, Workflow Management Systems, Scripting, Feature Engineering, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Llamaindex, Generative AI, Keras, Git, Containerization, HuggingFace, Machine Learning Operations, Api Design, Software Version Control, Docker - **Published:** October 15, 2026 - **Apply:** https://www.dice.com/job-detail/1b296f86-ad03-47e2-a7ab-80906ce0dfcc ## About the Role * Familiarity with LLMs, prompt engineering, and workflow orchestration. * Exposure to RAG systems and basic knowledge of hybrid search techniques. * Exposure to Multi-Agent systems. * Understanding of model deployment and containerization (Docker). * Proficiency in Python for AI development, data preprocessing, and scripting. * Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus. * Understanding of version control systems (Git). * Awareness of AI compliance, data privacy, and responsible AI principles. * Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). (Advantageous) Required Soft Skills: * Strong teamwork and communication abilities. * Willingness to learn new AI/ML technologies and frameworks. * Analytical mindset and attention to detail. * Openness to feedback and continuous improvement. ## Description * Contribute to prompt engineering and development of AI-powered workflows * Assist with the deployment, monitoring, and maintenance of AI models in production environments. * Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities. * Perform data preprocessing, feature engineering, and API development for AI applications. * Participate in code reviews, testing, and documentation to ensure quality and reliability. * Stay updated with advancements in GenAI and share relevant learnings with the team.