> Markdown version of [/jobs/ext/4359182-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4359182-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). --- # AI Engineer - **Company:** FinTech LLC - **Location:** Dallas, TX, United States - **Salary:** $98,400.0 - $119,000.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Amazon Web Services, Bash Shell, Big Data, Computer Programming, Extract Transform Load (ETL), Data Mining, Data Warehousing, 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 Architecture, Talend, Data Processing, Apache Spark, Generative AI, Vba Programming Language, Data Analytics, Looker Analytics, Data Pipelines - **Published:** October 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7a3a9de0343e0a64 ## About the Role * Proven experience with machine learning frameworks such as TensorFlow or similar tools for AI implementation. * Strong programming skills in Python, Java, C, Bash (Unix shell), VBA or related languages for model development and automation. * Hands-on experience with SQL databases, data mining techniques, and database design principles. * Familiarity with big data technologies including Hadoop, Spark implementation, Talend, and Looker for analytics and data processing. * Knowledge of natural language processing (NLP), generative AI models, and predictive modeling analysis. * Experience working with cloud-based AI/ML services on AWS or other cloud platforms for model training and deployment. * Ability to perform statistical analysis for research purposes using R or SAS tools; understanding of statistical modeling for research is a plus. * Strong understanding of data analytics workflows including data extraction (ETL), data warehousing, database management, and scalability considerations. * Excellent problem-solving skills combined with a proactive approach to innovation in AI solutions within big data environments. Join us as an AI Engineer where your expertise will help shape transformative technologies! We value energetic professionals who thrive in collaborative settings and are eager to push the boundaries of what's possible with artificial intelligence. Your contributions will directly impact our ability to deliver intelligent solutions that revolutionize industries worldwide! ## Description * Design, develop, and deploy advanced AI models utilizing frameworks such as TensorFlow and other machine learning tools to address real-world challenges. * Implement scalable big data systems using Hadoop, Spark, and ETL processes to manage large datasets efficiently. * Conduct statistical analysis and modeling using R, SAS, and statistical analysis tools to extract actionable insights from data. * Develop predictive modeling analyses and natural language processing applications to enhance product features and user experience. * Collaborate with cross-functional teams to integrate AI solutions into existing cloud services on platforms like AWS and machine learning cloud services. * Optimize model training, evaluation, and deployment processes ensuring high accuracy, efficiency, and scalability. * Maintain comprehensive documentation of algorithms, data pipelines, and system architecture for ongoing improvement and compliance.