AI Technical Developer

AI Technical Developer
Round Rock TX (Hybrid)
Contract

Must have skills.
AI
ML
Python
UI

Python AI Data science UI DevOps Job Overview:
We are seeking a highly skilled AI Technical Developer 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.. Design develop and maintain scalable Python-based backend services and microservices for enterprise applications.
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 ensuring seamless integration with Python backends.
Deploy manage and optimize containerized workloads on Kubernetes on Bare Metal (KOB) platforms. Implement end to end 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.
Exposure in Large Language Models (LLMs) Machine Learning Deep Learning Generative AI Supervised Learning Data Science and Data Engineering.
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