> Markdown version of [/jobs/ext/2057290-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2057290-ai-ml-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 ML Engineer - **Company:** UST Inc - **Location:** Round Rock, TX, United States - **Experience:** Expert - **Salary:** $72,000.0 - $108,000.0 - **Contract:** Temporary contract - **Skills:** Kubernetes Security, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Component-Based Software Engineering, JIRA, Unit Testing, Microsoft Azure, Software Quality, Code Review, Continuous Integration, Information Engineering, Data Visualization, DevOps, Django Web Framework, Fault Tolerance, Github, Design of User Interfaces, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, NoSQL, OAuth, OpenID, Open Web Application Security, Performance Tuning, Role-Based Access Control, Redis, Reliability Engineering, Site Reliability Engineering Practices, Tensorflow, Zero Trust Network Access, JSON Web Token, Secure Coding, SQL Databases, Systems Integration, TypeScript, RxJS, Enterprise Software Applications, Modern Ui, Pytorch, ReactJS, Istio, System Availability, Flask (Web Framework), Large Language Models, Prompt Engineering, Software Security, Software Application Programming, Generative AI, Fastapi, Containerization, AngularJS, Gitlab-ci, Scikit Learn, Integration Tests, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Bare Metal, Asynchronous Programming, Api Gateway, Restful APIs, Terraform, Artificial Intelligence Markup Language (AIML), Data Pipelines, Docker, Jenkins, Servicenow, Vulnerability Analysis, Microservices - **Published:** August 14, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88029431/1 ## About the Role * Python Full stack Development Strong hands-on experience with Python (3.x) for enterprise application development. * Expertise with FastAPI, Flask, or Django frameworks. * Proficiency in building RESTful and event-driven APIs. Strong understanding of asynchronous programming, threading, and performance optimization. * Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). * Experience developing and integrating AI/ML solutions into production systems. * Hands-on exposure to machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. * Experience with LLMs, prompt engineering, and AI service orchestration is a strong plus. * Understanding of model lifecycle management, monitoring, and inference performance tuning. * Data Science tools and visualization tools * Strong experience developing applications with Angular Proficiency in TypeScript, RxJS, component-based architecture, and state management. * Ability to integrate UI with secure backend APIs. * Familiarity with responsive UI design, accessibility standards, and performance optimization. * Hands-on experience with Docker and containerization best practices. * Strong expertise in Kubernetes on Bare Metal (KOB), including: Cluster setup, upgrades, and troubleshooting Networking (CNI), storage (CSI), and ingress configurations High availability and fault tolerance * Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, Jenkins). Infrastructure automation using Terraform, Helm, or similar tools. * Strong understanding of application and infrastructure security. * Experience implementing API security (OAuth2, OIDC, JWT, RBAC). * Familiarity with container and Kubernetes security best practices. * Knowledge of OWASP Top 10, vulnerability scanning, and secure coding standards. * Ability to collaborate with security teams on compliance and risk mitigation. * Strong problem-solving skills and attention to detail. * Excellent communication and collaboration skills in a global delivery environment. * Customer-centric mindset with ownership and accountability. * Demonstrated alignment with positive values, culture, and ethical standards. * Willingness to mentor junior engineers and contribute to continuous improvement. * Experience working in large-scale enterprise or regulated environments. * Exposure to cloud platforms (Azure, AWS, or GCP) alongside on-prem/bare-metal deployments. Knowledge of service mesh, API gateways, or zero-trust architecture. * Experience with SRE practices, SLAs/SLOs, and reliability engineering. * Proficiency in project management tools like JIRA, Service Now * Ability to manage, motivate, and direct cross-functional teams effectively. * Excellent written and oral communication, presentation, and stakeholder management skills. * Flexibility to adapt to challenges and work in periods of ambiguity, converting them into structured direction. * Typically requires 10+ years of related experience in a professional role with a Master's degree or PhD in computer science or Data Science or AI related fields., Machine Learning, Data Engineering, Python, Data Science, Generative AI, LLMs, Prompt Engineering, Microservices, Application Security, Kubernetes ## Description We are seeking a highly skilled AI ML Engineer, with strong Technical Development and data science background to lead the design, development, and deployment of cutting-edge AI-driven product solutions. This role involves collaborating closely with product development, architecture, and management teams to propel the advancement of AI technologies working with business teams and end customers. The opportunity: * Build and integrate AI/ML and LLM-driven solutions, including model inference services, data pipelines, and API exposure. * Develop and maintain modern UI applications using Angular, React ensuring seamless integration with Python backends. * Deploy, manage, and optimize containerized workloads on Kubernetes on Bare Metal (KOB) platforms. * Implement endtoend DevOps practices including CI/CD, infrastructure automation, monitoring, and observability. * Apply security-by-design principles across application, API, container, and infrastructure layers. * Collaborate cross-functionally with product, architecture, QA, platform, and security teams to deliver high-quality solutions. * Ensure code quality through unit testing, integration testing, code reviews, and documentation. * Drive performance optimization, reliability, and scalability across the full technology stack This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [How to Create New RxJS Operators](https://www.wearedevelopers.com/videos/683-how-to-create-new-rxjs-operators) - [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)