> Markdown version of [/jobs/ext/3735998-ai-engineer-senior](https://www.wearedevelopers.com/jobs/ext/3735998-ai-engineer-senior). 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 - Senior

- **Company:** MXI Corp.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $80,000.0 - $180,000.0
- **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, Data Warehousing, Database Design, R (Programming Language), Apache Hadoop, Python (Programming Language), Unix Shell, Machine Learning, Natural Language Processing, Cloud Services, Tensorflow, Azure Machine Learning, SAS (Software), SQL Databases, Talend, Data Storage Management, Apache Spark, Spark Mllib, Scikit Learn, Statistics Packages, Vba Programming Language, Data Analytics, Looker Analytics, Data Pipelines, Unsupervised Learning, Programming Languages
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bf4f2d8209699c67

## About the Role

* Extensive experience with AWS cloud services for machine learning model hosting and management.
 * Proficiency in Python, Java, C, SQL, R, VBA, Bash (Unix shell), and other programming languages relevant to AI development.
 * Deep understanding of big data systems including Hadoop, Spark implementation, and data analytics frameworks like Looker.
 * Strong background in statistical modeling, statistical analysis tools, and statistical analysis for research applications.
 * Hands-on experience with machine learning frameworks such as TensorFlow, Spark MLlib, and other AI/ML libraries.
 * Knowledge of natural language processing (NLP), generative AI techniques, and AI implementation strategies for diverse applications.
 * Ability to design scalable architectures that support high-volume data mining and predictive modeling analysis.
 * Familiarity with machine learning cloud services for model training, evaluation, deployment, and monitoring at scale.
 * Experience working with SQL databases and designing efficient database schemas for large datasets.
 * Strong problem-solving skills combined with excellent communication abilities to translate complex technical concepts into actionable insights.

Join us in pushing the boundaries of artificial intelligence! Bring your expertise in big data systems, machine learning frameworks, statistical analysis tools, and cloud services to create innovative solutions that transform industries. Your work will directly impact our ability to deliver intelligent products and services at scale-making a real difference every day!

## Description

We are seeking a highly skilled and innovative Senior AI Engineer to join our dynamic team. In this role, you will lead the development and deployment of cutting-edge artificial intelligence solutions that drive business insights and operational excellence. Your expertise will empower us to harness the full potential of big data systems, machine learning frameworks, and natural language processing to create scalable, impactful AI models. This is an exciting opportunity for a passionate professional eager to shape the future of AI technology through advanced statistical modeling, generative AI, and cloud-based machine learning services., * Design, develop, and optimize AI models using frameworks such as TensorFlow, Spark MLlib, and other machine learning tools.

 * Lead model training, evaluation, and deployment processes across cloud platforms like AWS and integrated big data systems such as Hadoop and Spark.
 * Implement unsupervised learning techniques and predictive modeling analysis to extract meaningful insights from large datasets.
 * Collaborate with cross-functional teams to develop natural language processing applications and generative AI solutions that enhance user engagement.
 * Conduct statistical analysis for research purposes, ensuring rigorous validation of models through statistical analysis tools like SAS and R.
 * Develop scalable data pipelines using ETL processes with Talend or Bash scripting to support data mining and analytics initiatives.
 * Design and maintain SQL databases and data warehouses for efficient data storage, retrieval, and management aligned with best practices in database design.
 * Evaluate AI models continuously for accuracy, robustness, and scalability while deploying them into production environments with model deployment techniques.