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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Engineer - **Company:** Fusion - **Location:** Phoenix, AZ, United States - **Salary:** $91,082.0 - $109,690.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Amazon Web Services, Bash Shell, Big Data, Databases, Extract Transform Load (ETL), Data Mining, Database Design, Apache Hadoop, Python (Programming Language), Unix Shell, Machine Learning, Natural Language Processing, Cloud Services, Tensorflow, Azure Machine Learning, SAS (Software), SQL Databases, Systems Integration, Pytorch, Large Language Models, Apache Spark, Generative AI, Fastapi, Spark Mllib, Statistics Packages, Vba Programming Language, Data Analytics, Data Management, Data Pipelines - **Published:** August 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e38c607b1a35b2ad ## About the Role * Proven experience in developing AI models with a focus on generative AI and natural language processing applications. * Strong background in machine learning frameworks such as TensorFlow, Spark MLlib, or similar tools. * Hands-on experience with big data systems including Hadoop, Spark implementation, and SQL databases for large-scale data processing. * Familiarity with statistical analysis tools like R or SAS for research-oriented statistical modeling. * Proficiency in programming languages including Python, Java, C, Bash (Unix shell), and VBA for automation and system integration tasks. * Experience deploying machine learning models using cloud services like AWS Machine Learning or similar platforms. * Knowledge of database design principles and experience working with SQL databases for efficient data management. * Understanding of quantum engineering concepts is a plus but not mandatory; a strong foundation in scalable AI implementation is essential. ## Description * Design, develop, and optimize generative AI models utilizing frameworks such as TensorFlow, PyTorch, and other machine learning tools. * Strong exp in Python, FastAPI, RAG, LLM's * Implement scalable data pipelines using ETL processes, Hadoop, Spark, and SQL databases to support model training and deployment. * Conduct statistical analysis and modeling to evaluate AI models' performance, accuracy, and robustness for predictive analytics and natural language processing tasks. * Collaborate with cross-functional teams to integrate AI solutions into existing systems using Java, Python, C, or VBA for seamless deployment. * Leverage cloud-based machine learning services on AWS or similar platforms to enhance model scalability and efficiency. * Perform data mining and data analytics on large datasets to extract insights that inform model improvements and business strategies. * Develop comprehensive documentation for model training procedures, statistical analysis tools, and deployment processes to ensure transparency and reproducibility. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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