Looking for Sr. AI/ML Engineer in Fort Worth, TX(Hybrid)- Locals F2F interview required

Position Sr. AI/ML Engineer Location Fort Worth, TX (Hybrid). Locals preferred; face‑to‑face interview required. Duration Long Term Minimum Qualifications Bachelor’s degree in computer science or related discipline or an equivalent combination of education and work experience 4+ years of relevant work experience in an agile environment Demonstrated expertise in at least one object‑oriented language Previous experience supporting high‑performing Agile / DevOps teams Past experience coaching or mentoring others, in any context Hands‑on experience with engineering practices such as object‑oriented design patterns, Extreme Programming, cloud design patterns, TDD, BDD, refactoring, and automation Experience with Continuous Integration and Continuous Delivery Expertise in Agile methodologies like Extreme Programming, Kanban, or Scrum Experience with implementing and operating DevOps tools/platforms across some part of the development lifecycle Working experience deploying and supporting business‑critical, Internet‑scale distributed systems or high‑volume client/server systems Proven experience in SQL and ability to design relational database schemas Ability to scrutinize provided architectures and suggest optimizations for deployment and minimizing the cost of change Preferred Qualifications Experience building continuous integration/deployment pipelines Experience with any of the following: The Testing Pyramid and how to effectively apply it Multi‑threading and concurrency Debugging, performance profiling and optimization Object‑oriented and service‑oriented application development patterns Experience with native/cross‑platform Mobile development Adept and comfortable communicating with team members and external business stakeholders of all levels Demonstrated ability to find creative ways of improving and simplifying solutions, systems, and processes without getting bogged down in blockers or bottlenecks Experience in modern and classical neural networks including LLMs, CNNs and RNNs, Agentic AI and Autonomous Agents, RAG architecture, and MLOPs Skills, Licenses & Certifications Proficiency with the following technologies: Programming Languages: Java, Python, C#, Javascript/Typescript Frameworks: Spring/SpringBoot, FastAPI Front End Technologies: Angular/React Deployment Technologies: Kubernetes, Docker Source Control: GitHub, Azure DevOps CICD: GitHub Actions, Azure DevOps Data management: PostgreSQL, MongoDB, Redis Integration/APIs Technologies: Kafka, REST, GraphQL Cloud Providers such as Azure and AWS Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity Ability to concisely convey ideas verbally, in writing, in code, and in diagrams Proficiency in object‑oriented design techniques and principles Proficiency in Agile frameworks and methodologies Proficiency in DevOps Toolchain Competencies Caring Collaboration Development Results Future #J-18808-Ljbffr Saksoft